Al-Halabi is an intriguing ophthalmologist who invented numerous surgicalinstruments for treating various eye diseases. The illustrations of such instrumentsin his invaluable book “Kitab Al-Kafi fi Al-Kuhl” reflect ...Al-Halabi is an intriguing ophthalmologist who invented numerous surgicalinstruments for treating various eye diseases. The illustrations of such instrumentsin his invaluable book “Kitab Al-Kafi fi Al-Kuhl” reflect his willingness toteach. Moreover, he included in his book a magnificent illustration of theanatomical structure of the eye. The book reflects Al-Halabi’s medical practice andteaching and shows several advanced medical techniques and tools. Hisinvaluable comments reflect his deep experimental observations in the field ofophthalmology. The current article provides proof that Al-Halabi is one of ourearly biomedical engineers from more than 800 years ago. Al-Halabi represents aring in the chain of biomedical engineering history. His surgical instrumentsrepresent the biomechanics field. Al-Halabi should be acknowledged among thebiomedical engineering students for his various contributions in the field ofsurgical instruments.展开更多
Mobile service robots(MSRs)in hospital environments require precise and robust trajectory tracking to ensure reliable operation under dynamic conditions,including model uncertainties and external disturbances.This stu...Mobile service robots(MSRs)in hospital environments require precise and robust trajectory tracking to ensure reliable operation under dynamic conditions,including model uncertainties and external disturbances.This study presents a cognitive control strategy that integrates a Numerical Feedforward Inverse Dynamic Controller(NFIDC)with a Feedback Radial Basis Function Neural Network(FRBFNN).The robot’s mechanical structure was designed in SolidWorks 2022 SP2.0 and validated under operational loads using finite element analysis in ANSYS 2022 R1.The NFIDC-FRBFNN framework merges proactive inverse dynamic compensation with adaptive neural learning to achieve smooth torque responses and accurate motion control.A two-stage simulation evaluation was conducted.In the first stage,the controller was tested in a simulated hospital environment under both ideal and non-ideal conditions.In the second,it was benchmarked against four established controllers-Neural Network Model Reference Adaptive(NNMRA),Z-number Fuzzy Logic(Z-FL),Adaptive Dynamic Controller(ADC),and Fuzzy Logic-PID(FL-PID)—using circular and lemniscate trajectories.Across ten runs,the proposed controller achieved the lowest tracking errors under all conditions.Under ideal conditions,it achieved average improvements of 55.24%,75.75%,and 55.20%in integral absolute error(IAE),integral squared error(ISE),and mean absolute error(MAE),respectively,with coefficient of variation(CV)reductions above 55%.Under non-ideal conditions,average improvements exceeded 64%in IAE,77%in ISE,and 66%in MAE,while maintaining CV reductions above 57%.These results confirm that the NFIDC-FRBFNN controller offers superior accuracy,robustness,and consistency for real-time path tracking in healthcare robotics.展开更多
Colorectal cancer is the third most diagnosed cancer worldwide,and immune checkpoint inhibitors have shown promising therapeutic outcomes in selected patient groups.This study performed a comprehensive analysis of mul...Colorectal cancer is the third most diagnosed cancer worldwide,and immune checkpoint inhibitors have shown promising therapeutic outcomes in selected patient groups.This study performed a comprehensive analysis of multi-omics data from The Cancer Genome Atlas colorectal adenocarcinoma cohort(TCGA-COADREAD),accessed through cBioPortal,to develop machine learning models for predicting progression-free survival(PFS)following immunotherapy.The dataset included clinical variables,genomic alterations in Kirsten Rat Sarcoma Viral Oncogene Homolog(KRAS),B-Raf Proto-Oncogene(BRAF),and Neuroblastoma RAS Viral Oncogene Homolog(NRAS),microsatellite instability(MSI)status,tumor mutation burden(TMB),and expression of immune checkpoint genes.Kaplan–Meier analysis showed that KRAS mutations were significantly associated with reduced PFS,while BRAF and NRAS mutations had no significant impact.MSI-high tumors exhibited elevated TMB and increased immune checkpoint expression,reflecting their immunologically active phenotype.We developed both survival and classification models,with the Extra Trees classifier achieving the best performance(accuracy=0.86,precision=0.67,recall=0.70,F1-score=0.68,AUC=0.84).These findings highlight the potential of combining genomic and immune biomarkers with machine learning to improve patient stratification and guide personalized immunotherapy decisions.An interactive web application was also developed to enable clinicians to input patient-specific molecular and clinical data and visualize individualized PFS predictions,supporting timely,data-driven treatment planning.展开更多
The objective of this work is to demonstrate how the viscoelastic, thermal, rheological, hardness, wear resistance and fracture behavior of bioinert high-density polyethylene （HDPE） can be changed by the addition of...The objective of this work is to demonstrate how the viscoelastic, thermal, rheological, hardness, wear resistance and fracture behavior of bioinert high-density polyethylene （HDPE） can be changed by the addition of hydroxyapatite （HAP） nano particles. Also the effects of accelerated thermal ageing on the composite properties have been investigated. Different weight fractions of HAP nano particles up to 30 wt% have been incorporated in HDPE matrix by using melt blending in co-rotating intermeshing twin screw extruder. The fracture toughness results showed a remarkable decrease in proportion to the HAP content. The differential scanning calorimetry results indicated that the melting temperature and crystallinity were affected by the addition of HAP nano particles into the matrix. The complex viscosity increased as the percentage of HAP increased due to the restriction of the molecular mobility. The dynamic mechanical analysis results revealed that higher storage modulus （8.3 1011 Pa） could be obtained in the developed HDPE/HAP in 30 wt% compared to neat HDPE （5.1 1011 Pa）. Finally, the hardness and wear resistance of HDPE were improved significantly due to the addition of HAP nano particles. The changes in the HDPE and its nano composite properties due to ageing showed that the HDPE and its nano composites crystallinity increased while the fracture toughness, hardness, wear resistance, storage and loss modulus decreased.展开更多
Titanium and its alloys are currently considered as one of the most important metallic materials used in the biomedical applications, due to their excellent mechanical properties and superior biocompatibility. In the ...Titanium and its alloys are currently considered as one of the most important metallic materials used in the biomedical applications, due to their excellent mechanical properties and superior biocompatibility. In the present study, a new effective method for fabricating high porosity titanium alloy scaffolds was developed. Porous Ti-6Al-4V scaffolds are successfully fabricated with porosities ranging from 30% to 70% using spaceholder and powder sintering technique. Based on its acceptable properties, spherical carbamide particles with different diameters （0.56, 0.8, and 1mm） were used as the space-holder material in the present investigation. The Ti-6Al-4V scaffolds porosity is characterized by using scanning electron microscopy. The results show that the scaffolds spherical-shaped pores are depending on the shape, size and distribution of the space-holder particles. This investigation shows that the present new manufacturing technique is promising to fabricate a controlled high porosity and high purity Ti-6Al-4V scaffolds for hard tissue replacement.展开更多
Neurological diseases and injuries present some of the great- est challenges in modern medicine, often causing irrevers- ible and lifelong burdens in the people whom they afflict. Conditions of stroke, traumatic brain...Neurological diseases and injuries present some of the great- est challenges in modern medicine, often causing irrevers- ible and lifelong burdens in the people whom they afflict. Conditions of stroke, traumatic brain injury, spinal cord injury, and neurodegenerative diseases have devastating con- sequences on millions of people each year, and yet there are currently no therapies or interventions that can repair the structure of neural circuits and restore neural tissue function in the brain and spinal cord. Despite the challenges of over- coming these limitations, there are many new approaches under development that hold much promise. Neural tissue engineering aims to restore and influence the function of damaged or diseased neural tissue generally through the use of stem cells and biomaterials. Many types of biomaterials may be implemented in various designs to influence the survival, differentiation, and function of developing stem cells, as well as to guide neurite extension and morphological architecture of cell cultures. Such designs may aim to reca- pitulate the cellular interactions, extracellular matrix char- acteristics, biochemical factors, and sequences of events that occur in neurodevelopment, in addition to supporting cell survival, differentiation, and integration into innate neural tissue.展开更多
Introduction Regenerative medicine holds great promise for the treatment of diseases that are unbeatable at present,such as various gene and neurological disorders,cardiovascular diseases,as well as hematological mali...Introduction Regenerative medicine holds great promise for the treatment of diseases that are unbeatable at present,such as various gene and neurological disorders,cardiovascular diseases,as well as hematological malignancies.Realization of this potential remains limited by current challenges associated with the control of cell phenotype and function in cell culture.In this respect,the fate of cells is dictated by the in vivo microenvironment where these cells interact with both the extracellular matrix(ECM)and with neighboring cells.The ECM serves as a structural support for cells and provides,in concert with spatio-temporally arranged biochemical cues such as soluble factors,topographical and mechanical cues that direct cell adhesion,spreading,migra-展开更多
Optoacoustics is a promising modality for biomedical imaging,sensing,and monitoring with high resolution and contrast.In this paper,we present an overview of our studies for the last two decades on optoacoustic effect...Optoacoustics is a promising modality for biomedical imaging,sensing,and monitoring with high resolution and contrast.In this paper,we present an overview of our studies for the last two decades on optoacoustic effects in tissues and imaging capabilities of the optoacoustic technique.In our earlier optoacoustic works we studied laser ablation of tissues and tissue-like media and proposed to use optoacoustics for imaging in tissues.In mid-90s we demonstrated detection of optoacoustic signals from tissues at depths of up to several centimeters,well deeper than the optical diffusion limit.We then obtained optoacoustic images of tissues both in vitro and in vivo.In late 90s we studied optoacoustic monitoring of thermotherapy:hyperthermia,coagulation,and freezing.Then we proposed and studied optoacoustic monitoring of blood oxygenation,hemoglobin concentration,and other physiologic parameters.展开更多
A novel injectable hydrogel that was synthesized by in situ crosslinking of hyaluronan and polyvinyl phosphonic acid was proposed in this study. Fourier transform infrared spectrum (FT-IR) analysis, scanning electron ...A novel injectable hydrogel that was synthesized by in situ crosslinking of hyaluronan and polyvinyl phosphonic acid was proposed in this study. Fourier transform infrared spectrum (FT-IR) analysis, scanning electron microscope (SEM), pH measurement, and biodegradation test were used to confirm its characteristics. The results permitted to prove successful crosslinking, observe the inner morphology of hydrogel and pore sizes distribution, and determine the decomposition of hydrogel components during incubation time. Result of pH measurement showed that the pH scale of hydrogel decreased when volume of PVPA increased. As a consequence, it affected the cytotoxicity value, cell proliferation, and cell growth behaviors of each hydrogel. Optical microscope observation showed that chondroblasts cell proliferated well on HA-PVPA hydrogel. Therefore, these results suggest that the new injectable hydrogel is appropriate for bone/cartilage regeneration applications.展开更多
This comprehensive review explores the multifaceted landscape of skin bioprinting,revolutionizing dermatological research.The applications of skin bioprinting utilizing techniques like extrusion-,droplet-,laser-and li...This comprehensive review explores the multifaceted landscape of skin bioprinting,revolutionizing dermatological research.The applications of skin bioprinting utilizing techniques like extrusion-,droplet-,laser-and light-based methods,with specialized bioinks for skin biofabrication have been critically reviewed along with the intricate aspects of bioprinting hair follicles,sweat glands,and achieving skin pigmentation.Challenges remain with the need for vascularization,safety concerns,and the integration of automated processes for effective clinical translation.The review further investigates the incorporation of biosensor technologies,emphasizing their role in monitoring and enhancing the wound healing process.While highlighting the remarkable progress in the field,critical limitations and concerns are critically examined to provide a balanced perspective.This synthesis aims to guide scientists,engineers,and healthcare providers,fostering a deeper understanding of the current state,challenges,and future directions in skin bioprinting for transformative applications in tissue engineering and regenerative medicine.展开更多
Objective:To assess the effects of turmeric extract and its compounds on oxidative stress,inflammation,and apoptosis in acetaminophen-induced liver injury.Methods:HepG2 cells were administered with acetaminophen(40 mM...Objective:To assess the effects of turmeric extract and its compounds on oxidative stress,inflammation,and apoptosis in acetaminophen-induced liver injury.Methods:HepG2 cells were administered with acetaminophen(40 mM)to induce hepatotoxicity,followed by treatment with turmeric extract and its isolated compounds including curcumin,demethoxycurcumin,bis-demethoxycurcumin and ar-turmerone at 5,25,and 125μg/mL.IL-1β,IL-6,and IL-10 levels were quantified with ELISA kits.Further,qRT-PCR was used to analyze the mRNA expression of JNK,Casp-9,and Casp-3.Meanwhile,the levels of nitric oxide and lactate dehydrogenase were analyzed using colorimetric assay.Results:Acetaminophen administration caused an increase in the levels of lactate dehydrogenase,nitric oxide,IL-1β,IL-6,and the mRNA expression of JNK,Casp-9,and Casp-3 in HepG2 cells while reducing IL-10 levels.Treatment with turmeric extract,curcumin,demethoxycurcumin,bis-demethoxycurcumin,and ar-turmerone lowered IL-1β,IL-6,nitric oxide,and lactate dehydrogenase levels,downregulated the mRNA expression of JNK,Casp-9,and Casp-3,and increased IL-10 levels.Conclusions:Turmeric extract and its compounds have significant hepatoprotective activity and could be further explored for the treatment of liver damage.展开更多
Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating automated methods. Deep ...Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating automated methods. Deep learning, particularly 3D U-Net architectures, has revolutionised medical image analysis by leveraging volumetric data to capture spatial context, enhancing segmentation accuracy. This paper reviews brain tumour segmentation methods, emphasising 3D U-Net advancements. We analyse contributions from the Brain Tumour Segmentation (BraTS) challenges (2014-2023), highlighting key improvements and persistent challenges, including tumour heterogeneity, limited annotated data, varied imaging protocols, computational constraints, and model generalisation. Unlike previous reviews, we synthesise these challenges, proposing targeted research directions: enhancing model robustness through domain adaptation and multi-institutional data sharing, developing lightweight architectures for clinical deployment, integrating multi-modal and clinical data, and incorporating explainability techniques to build clinician trust. By addressing these challenges, we aim to guide future research toward developing more robust, generalisable, and clinically applicable segmentation models, ultimately improving patient outcomes in neuro-oncology.展开更多
Objective:Acral melanoma(AM),a unique subtype prevalent in China,develops on the palms,soles,and nail beds.Despite its distinct clinical and pathological features compared to cutaneous melanoma(CM),the molecular basis...Objective:Acral melanoma(AM),a unique subtype prevalent in China,develops on the palms,soles,and nail beds.Despite its distinct clinical and pathological features compared to cutaneous melanoma(CM),the molecular basis underlying these differences remains poorly understood.This study aims to perform a comprehensive comparative transcriptomic analysis of AM and CM at the single-cell level to uncover key molecular distinctions.Methods:We analyzed single-cell RNA sequencing(scRNA-seq)data from 39 AM patients and 18 CM cases.Single-cell transcriptomic profiling was used to compare tumor cell subpopulations and microenvironmental differences.Bioinformatics tools were employed for cell clustering,differential gene expression analysis,cell-cell communication network inferences,and survival analysis.Results:AM exhibited a significantly higher proportion of MPZ^(+)melanoma cells,a subpopulation with Schwann cell-like properties associated with poor prognosis.These MPZ^(+)melanoma cells established extensive communication networks with AM-specific immune and stromal components,prompting an immunosuppressive microenvironment and enhancing angiogenic potential.Survival analysis further indicated that the presence of MPZ^(+)melanoma cells is closely linked to worse clinical outcomes in AM patients.Conclusions:This study provides novel insights into the molecular distinctions between AM and CM,highlighting the critical role of MPZ^(+)melanoma cells in AM progression.These findings enhance our understanding of AM pathophysiology and may contribute to the development of more targeted therapeutic strategies.展开更多
This review provides a comprehensive summary of biomass-based adsorption,with a particular focus on biochar as an innovative,sustainable,and eco-friendly technique for recovering rare earth elements(REEs) from various...This review provides a comprehensive summary of biomass-based adsorption,with a particular focus on biochar as an innovative,sustainable,and eco-friendly technique for recovering rare earth elements(REEs) from various sources.This study details primary adsorption mechanisms,including physical adsorption,ion exchange,electrostatic attraction,surface complexation,and precipitation,providing a nuanced understanding of how these processes contribute to metal recovery.Additionally,it discusses various biochar modification methods aimed at enhancing surface functionalities,thereby improving adsorption capacity and selectivity.It further addresses the critical challenge of biochar regeneration,outlining methods such as thermal,solvent,microwave irradiation,and supercritical fluid regeneration to sustain biochar's efficacy over multiple cycles.Overall,this comprehensive analysis highlights biochar's versatility and potential in environmental remediation and resource recovery,emphasizing the importance of optimized regeneration techniques to maintain its adsorption efficiency and future research directions for large-scale applications.展开更多
Hemoglobin is a vital protein in red blood cells responsible for transporting oxygen throughout the body.Its accurate measurement is crucial for diagnosing and managing conditions such as anemia and diabetes,where abn...Hemoglobin is a vital protein in red blood cells responsible for transporting oxygen throughout the body.Its accurate measurement is crucial for diagnosing and managing conditions such as anemia and diabetes,where abnormal hemoglobin levels can indicate significant health issues.Traditional methods for hemoglobin measurement are invasive,causing pain,risk of infection,and are less convenient for frequent monitoring.PPG is a transformative technology in wearable healthcare for noninvasive monitoring and widely explored for blood pressure,sleep,blood glucose,and stress analysis.In this work,we propose a hemoglobin estimation method using an adaptive lightweight convolutional neural network(HMALCNN)from PPG.The HMALCNN is designed to capture both fine-grained local waveform characteristics and global contextual patterns,ensuring robust performance across acquisition settings.We validated our approach on two multi-regional datasets containing 152 and 68 subjects,respectively,employing a subjectindependent 5-fold cross-validation strategy.The proposed method achieved root mean square errors(RMSE)of 0.90 and 1.20 g/dL for the two datasets,with strong Pearson correlations of 0.82 and 0.72.We conducted extensive posthoc analyses to assess clinical utility and interpretability.A±1 g/dL clinical error tolerance evaluation revealed that 91.3%and 86.7%of predictions for the two datasets fell within the acceptable clinical range.Hemoglobin range-wise analysis demonstrated consistently high accuracy in the normal and low hemoglobin categories.Statistical significance testing using the Wilcoxon signed-rank test confirmed the stability of performance across validation folds(p>0.05 for both RMSE and correlation).Furthermore,model interpretability was enhanced using Gradient-weighted Class Activation Mapping(Grad-CAM),supporting the model’s clinical trustworthiness.The proposed HMALCNN offers a computationally efficient,clinically interpretable,and generalizable framework for noninvasive hemoglobin monitoring,with strong potential for integration into wearable healthcare systems as a practical alternative to invasive measurement techniques.展开更多
During cellular proliferation DNA undergoes frequent rep-lication cycles in which errors inevitably accumulate.DNA simultaneously faces continuous damage from endogenous sources[e.g.,reactive oxygen species(ROS)]and e...During cellular proliferation DNA undergoes frequent rep-lication cycles in which errors inevitably accumulate.DNA simultaneously faces continuous damage from endogenous sources[e.g.,reactive oxygen species(ROS)]and environmen-tal stressors,such as ultraviolet(UV)and ionizing radiation(IR).Such lesions compromise genomic stability and may escalate into DNA double-strand breaks(DSBs).Failure to repair DSBs can ultimately trigger cell death1.展开更多
In vivo imaging of human iris vasculature remains a persistent challenge,limiting our understanding of its relationship with ocular disease pathogenesis.Conventional raster scan optical coherence tomography angiograph...In vivo imaging of human iris vasculature remains a persistent challenge,limiting our understanding of its relationship with ocular disease pathogenesis.Conventional raster scan optical coherence tomography angiography(OCTA)suffers from angular-dependent contrast(including blind spots),limited field of view,and prolonged imaging time—challenges that restrict its clinical utility.We introduce a circular interleaving scan OCTA method that overcomes these barriers by enabling 360 deg high-contrast iris angiography with consistent spatiotemporal sampling and optimized motion contrast.The circular scan design enables directionoptimized sampling:we configured circumferential sampling density to approximately twice the radial density,enhancing detection of radially oriented iris vasculature.A Cartesian–polar coordinate transformation was implemented for eye-motion compensation,vessel realignment,and vasculature reconstruction.Compared with raster scan OCTA,our circular scan protocol demonstrates 1.55×higher efficiency in iris vascular imaging,featuring a superior duty cycle(99.95%versus 82.00%)and eliminating redundant data acquisition from rectangular field corners(27.3%of the circular area).This method improves vessel density measurement by 39.0%and vessel count quantification by 25.2%relative to raster scans.By eliminating angular-dependent blind spots,our method significantly enhances vascular quantification reliability,paving the way to a better understanding of ocular diseases and holding promising potential for future clinical applications.展开更多
In recmt years,depresion has emerged ss a significant gbbal health cotcern,prompting many individuals to seek pharmacoogical interventions.The identification of inflammatory changes in the hippocampns of depressed pat...In recmt years,depresion has emerged ss a significant gbbal health cotcern,prompting many individuals to seek pharmacoogical interventions.The identification of inflammatory changes in the hippocampns of depressed patients has highlighted a potential therapeutic target.Never-thelo,the effectiveness of medicntions targeting these specific alterntions has yrt to be fully substantinted.Prediminary remrch has suggusted the potentisl bemefits of photobiomodulation(PBM)as a trestment fot deptession,with no significant adetse eflects reported.This study utiliæd nesr-infrared light at intensities of 50 mW/cmend 300 mW/cm"to illuminate mice with chronic mild strea(CMS)-induced depresion model,aiming to explorethe therapeutik effects of PBM an depresion.The findings revealed that when exposedto a power denstty af 300 m W/cm?,the mice exhibited enhanæd behavioral outcomes,aскоmpanied by deressed levels of inflam-matory eytokines such as Il-1a,11-13,11-5,and'I-6 in the hippocampus.A notewarthy ae-socistion was observed between behavioral manifestations and inflammatory cytokine kvels.This study poits that PBM at an intensity of 300mW/cm is a viable nonpharmacological intervention for depression,as it demonstrntes a notable enhanoment in deprasive symptoms and the regulation of inflammatory medistors within the hippocятpal region of the brain.However,this study is constrained by the particular PBM parameters employed;therefore,additional resesrch is neceary to investigate a broader spectrum af doees and trestment durations in order to enhan the therapeutic application and deepen the understanding of the underlying mechanisma.展开更多
文摘Al-Halabi is an intriguing ophthalmologist who invented numerous surgicalinstruments for treating various eye diseases. The illustrations of such instrumentsin his invaluable book “Kitab Al-Kafi fi Al-Kuhl” reflect his willingness toteach. Moreover, he included in his book a magnificent illustration of theanatomical structure of the eye. The book reflects Al-Halabi’s medical practice andteaching and shows several advanced medical techniques and tools. Hisinvaluable comments reflect his deep experimental observations in the field ofophthalmology. The current article provides proof that Al-Halabi is one of ourearly biomedical engineers from more than 800 years ago. Al-Halabi represents aring in the chain of biomedical engineering history. His surgical instrumentsrepresent the biomechanics field. Al-Halabi should be acknowledged among thebiomedical engineering students for his various contributions in the field ofsurgical instruments.
基金supported by the Malaysia Ministry of Higher Education under Fundamental Research Grant Scheme with Project Code:FRGS/1/2024/TK07/USM/02/3.
文摘Mobile service robots(MSRs)in hospital environments require precise and robust trajectory tracking to ensure reliable operation under dynamic conditions,including model uncertainties and external disturbances.This study presents a cognitive control strategy that integrates a Numerical Feedforward Inverse Dynamic Controller(NFIDC)with a Feedback Radial Basis Function Neural Network(FRBFNN).The robot’s mechanical structure was designed in SolidWorks 2022 SP2.0 and validated under operational loads using finite element analysis in ANSYS 2022 R1.The NFIDC-FRBFNN framework merges proactive inverse dynamic compensation with adaptive neural learning to achieve smooth torque responses and accurate motion control.A two-stage simulation evaluation was conducted.In the first stage,the controller was tested in a simulated hospital environment under both ideal and non-ideal conditions.In the second,it was benchmarked against four established controllers-Neural Network Model Reference Adaptive(NNMRA),Z-number Fuzzy Logic(Z-FL),Adaptive Dynamic Controller(ADC),and Fuzzy Logic-PID(FL-PID)—using circular and lemniscate trajectories.Across ten runs,the proposed controller achieved the lowest tracking errors under all conditions.Under ideal conditions,it achieved average improvements of 55.24%,75.75%,and 55.20%in integral absolute error(IAE),integral squared error(ISE),and mean absolute error(MAE),respectively,with coefficient of variation(CV)reductions above 55%.Under non-ideal conditions,average improvements exceeded 64%in IAE,77%in ISE,and 66%in MAE,while maintaining CV reductions above 57%.These results confirm that the NFIDC-FRBFNN controller offers superior accuracy,robustness,and consistency for real-time path tracking in healthcare robotics.
基金funded by the Research,Development,and Innovation Authority(RDIA)—Kingdom of Saudi Arabia(Grant No.13292-psu-2023-PSNU-R-3-1-EF-).
文摘Colorectal cancer is the third most diagnosed cancer worldwide,and immune checkpoint inhibitors have shown promising therapeutic outcomes in selected patient groups.This study performed a comprehensive analysis of multi-omics data from The Cancer Genome Atlas colorectal adenocarcinoma cohort(TCGA-COADREAD),accessed through cBioPortal,to develop machine learning models for predicting progression-free survival(PFS)following immunotherapy.The dataset included clinical variables,genomic alterations in Kirsten Rat Sarcoma Viral Oncogene Homolog(KRAS),B-Raf Proto-Oncogene(BRAF),and Neuroblastoma RAS Viral Oncogene Homolog(NRAS),microsatellite instability(MSI)status,tumor mutation burden(TMB),and expression of immune checkpoint genes.Kaplan–Meier analysis showed that KRAS mutations were significantly associated with reduced PFS,while BRAF and NRAS mutations had no significant impact.MSI-high tumors exhibited elevated TMB and increased immune checkpoint expression,reflecting their immunologically active phenotype.We developed both survival and classification models,with the Extra Trees classifier achieving the best performance(accuracy=0.86,precision=0.67,recall=0.70,F1-score=0.68,AUC=0.84).These findings highlight the potential of combining genomic and immune biomarkers with machine learning to improve patient stratification and guide personalized immunotherapy decisions.An interactive web application was also developed to enable clinicians to input patient-specific molecular and clinical data and visualize individualized PFS predictions,supporting timely,data-driven treatment planning.
基金the Deanship of Scientific Research at King Saud University for funding the work through the research group project No.RGP-VPP-133
文摘The objective of this work is to demonstrate how the viscoelastic, thermal, rheological, hardness, wear resistance and fracture behavior of bioinert high-density polyethylene （HDPE） can be changed by the addition of hydroxyapatite （HAP） nano particles. Also the effects of accelerated thermal ageing on the composite properties have been investigated. Different weight fractions of HAP nano particles up to 30 wt% have been incorporated in HDPE matrix by using melt blending in co-rotating intermeshing twin screw extruder. The fracture toughness results showed a remarkable decrease in proportion to the HAP content. The differential scanning calorimetry results indicated that the melting temperature and crystallinity were affected by the addition of HAP nano particles into the matrix. The complex viscosity increased as the percentage of HAP increased due to the restriction of the molecular mobility. The dynamic mechanical analysis results revealed that higher storage modulus （8.3 1011 Pa） could be obtained in the developed HDPE/HAP in 30 wt% compared to neat HDPE （5.1 1011 Pa）. Finally, the hardness and wear resistance of HDPE were improved significantly due to the addition of HAP nano particles. The changes in the HDPE and its nano composite properties due to ageing showed that the HDPE and its nano composites crystallinity increased while the fracture toughness, hardness, wear resistance, storage and loss modulus decreased.
基金supported by the Korea Research Foundation (KRF)
文摘Titanium and its alloys are currently considered as one of the most important metallic materials used in the biomedical applications, due to their excellent mechanical properties and superior biocompatibility. In the present study, a new effective method for fabricating high porosity titanium alloy scaffolds was developed. Porous Ti-6Al-4V scaffolds are successfully fabricated with porosities ranging from 30% to 70% using spaceholder and powder sintering technique. Based on its acceptable properties, spherical carbamide particles with different diameters （0.56, 0.8, and 1mm） were used as the space-holder material in the present investigation. The Ti-6Al-4V scaffolds porosity is characterized by using scanning electron microscopy. The results show that the scaffolds spherical-shaped pores are depending on the shape, size and distribution of the space-holder particles. This investigation shows that the present new manufacturing technique is promising to fabricate a controlled high porosity and high purity Ti-6Al-4V scaffolds for hard tissue replacement.
文摘Neurological diseases and injuries present some of the great- est challenges in modern medicine, often causing irrevers- ible and lifelong burdens in the people whom they afflict. Conditions of stroke, traumatic brain injury, spinal cord injury, and neurodegenerative diseases have devastating con- sequences on millions of people each year, and yet there are currently no therapies or interventions that can repair the structure of neural circuits and restore neural tissue function in the brain and spinal cord. Despite the challenges of over- coming these limitations, there are many new approaches under development that hold much promise. Neural tissue engineering aims to restore and influence the function of damaged or diseased neural tissue generally through the use of stem cells and biomaterials. Many types of biomaterials may be implemented in various designs to influence the survival, differentiation, and function of developing stem cells, as well as to guide neurite extension and morphological architecture of cell cultures. Such designs may aim to reca- pitulate the cellular interactions, extracellular matrix char- acteristics, biochemical factors, and sequences of events that occur in neurodevelopment, in addition to supporting cell survival, differentiation, and integration into innate neural tissue.
基金supported by the National Institute of Health(NIH HL83008)
文摘Introduction Regenerative medicine holds great promise for the treatment of diseases that are unbeatable at present,such as various gene and neurological disorders,cardiovascular diseases,as well as hematological malignancies.Realization of this potential remains limited by current challenges associated with the control of cell phenotype and function in cell culture.In this respect,the fate of cells is dictated by the in vivo microenvironment where these cells interact with both the extracellular matrix(ECM)and with neighboring cells.The ECM serves as a structural support for cells and provides,in concert with spatio-temporally arranged biochemical cues such as soluble factors,topographical and mechanical cues that direct cell adhesion,spreading,migra-
文摘Optoacoustics is a promising modality for biomedical imaging,sensing,and monitoring with high resolution and contrast.In this paper,we present an overview of our studies for the last two decades on optoacoustic effects in tissues and imaging capabilities of the optoacoustic technique.In our earlier optoacoustic works we studied laser ablation of tissues and tissue-like media and proposed to use optoacoustics for imaging in tissues.In mid-90s we demonstrated detection of optoacoustic signals from tissues at depths of up to several centimeters,well deeper than the optical diffusion limit.We then obtained optoacoustic images of tissues both in vitro and in vivo.In late 90s we studied optoacoustic monitoring of thermotherapy:hyperthermia,coagulation,and freezing.Then we proposed and studied optoacoustic monitoring of blood oxygenation,hemoglobin concentration,and other physiologic parameters.
文摘A novel injectable hydrogel that was synthesized by in situ crosslinking of hyaluronan and polyvinyl phosphonic acid was proposed in this study. Fourier transform infrared spectrum (FT-IR) analysis, scanning electron microscope (SEM), pH measurement, and biodegradation test were used to confirm its characteristics. The results permitted to prove successful crosslinking, observe the inner morphology of hydrogel and pore sizes distribution, and determine the decomposition of hydrogel components during incubation time. Result of pH measurement showed that the pH scale of hydrogel decreased when volume of PVPA increased. As a consequence, it affected the cytotoxicity value, cell proliferation, and cell growth behaviors of each hydrogel. Optical microscope observation showed that chondroblasts cell proliferated well on HA-PVPA hydrogel. Therefore, these results suggest that the new injectable hydrogel is appropriate for bone/cartilage regeneration applications.
基金supported by National Institutes of Health Award(Nos.R01DE028614(I T O)and R21AR082668(I T O)),and 2236 CoCirculation2 of TUBITAK award(No.121C359(I T O))supported by The Assistant Secretary of Defense for Health Affairs endorsed by the Department of Defense,in the amount of($1986275)through the Peer Reviewed Medical Research Program under Award Number(No.HT9425-23-1-0487)。
文摘This comprehensive review explores the multifaceted landscape of skin bioprinting,revolutionizing dermatological research.The applications of skin bioprinting utilizing techniques like extrusion-,droplet-,laser-and light-based methods,with specialized bioinks for skin biofabrication have been critically reviewed along with the intricate aspects of bioprinting hair follicles,sweat glands,and achieving skin pigmentation.Challenges remain with the need for vascularization,safety concerns,and the integration of automated processes for effective clinical translation.The review further investigates the incorporation of biosensor technologies,emphasizing their role in monitoring and enhancing the wound healing process.While highlighting the remarkable progress in the field,critical limitations and concerns are critically examined to provide a balanced perspective.This synthesis aims to guide scientists,engineers,and healthcare providers,fostering a deeper understanding of the current state,challenges,and future directions in skin bioprinting for transformative applications in tissue engineering and regenerative medicine.
基金funded by Maranatha Christian University,Bandung,Indonesia for Productive Lecturer Research under grant number:011/SK/ADD/UKM/IV/2024.
文摘Objective:To assess the effects of turmeric extract and its compounds on oxidative stress,inflammation,and apoptosis in acetaminophen-induced liver injury.Methods:HepG2 cells were administered with acetaminophen(40 mM)to induce hepatotoxicity,followed by treatment with turmeric extract and its isolated compounds including curcumin,demethoxycurcumin,bis-demethoxycurcumin and ar-turmerone at 5,25,and 125μg/mL.IL-1β,IL-6,and IL-10 levels were quantified with ELISA kits.Further,qRT-PCR was used to analyze the mRNA expression of JNK,Casp-9,and Casp-3.Meanwhile,the levels of nitric oxide and lactate dehydrogenase were analyzed using colorimetric assay.Results:Acetaminophen administration caused an increase in the levels of lactate dehydrogenase,nitric oxide,IL-1β,IL-6,and the mRNA expression of JNK,Casp-9,and Casp-3 in HepG2 cells while reducing IL-10 levels.Treatment with turmeric extract,curcumin,demethoxycurcumin,bis-demethoxycurcumin,and ar-turmerone lowered IL-1β,IL-6,nitric oxide,and lactate dehydrogenase levels,downregulated the mRNA expression of JNK,Casp-9,and Casp-3,and increased IL-10 levels.Conclusions:Turmeric extract and its compounds have significant hepatoprotective activity and could be further explored for the treatment of liver damage.
文摘Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating automated methods. Deep learning, particularly 3D U-Net architectures, has revolutionised medical image analysis by leveraging volumetric data to capture spatial context, enhancing segmentation accuracy. This paper reviews brain tumour segmentation methods, emphasising 3D U-Net advancements. We analyse contributions from the Brain Tumour Segmentation (BraTS) challenges (2014-2023), highlighting key improvements and persistent challenges, including tumour heterogeneity, limited annotated data, varied imaging protocols, computational constraints, and model generalisation. Unlike previous reviews, we synthesise these challenges, proposing targeted research directions: enhancing model robustness through domain adaptation and multi-institutional data sharing, developing lightweight architectures for clinical deployment, integrating multi-modal and clinical data, and incorporating explainability techniques to build clinician trust. By addressing these challenges, we aim to guide future research toward developing more robust, generalisable, and clinically applicable segmentation models, ultimately improving patient outcomes in neuro-oncology.
基金supported by the National Key Research and Development Project(No.2023YFC3404400)。
文摘Objective:Acral melanoma(AM),a unique subtype prevalent in China,develops on the palms,soles,and nail beds.Despite its distinct clinical and pathological features compared to cutaneous melanoma(CM),the molecular basis underlying these differences remains poorly understood.This study aims to perform a comprehensive comparative transcriptomic analysis of AM and CM at the single-cell level to uncover key molecular distinctions.Methods:We analyzed single-cell RNA sequencing(scRNA-seq)data from 39 AM patients and 18 CM cases.Single-cell transcriptomic profiling was used to compare tumor cell subpopulations and microenvironmental differences.Bioinformatics tools were employed for cell clustering,differential gene expression analysis,cell-cell communication network inferences,and survival analysis.Results:AM exhibited a significantly higher proportion of MPZ^(+)melanoma cells,a subpopulation with Schwann cell-like properties associated with poor prognosis.These MPZ^(+)melanoma cells established extensive communication networks with AM-specific immune and stromal components,prompting an immunosuppressive microenvironment and enhancing angiogenic potential.Survival analysis further indicated that the presence of MPZ^(+)melanoma cells is closely linked to worse clinical outcomes in AM patients.Conclusions:This study provides novel insights into the molecular distinctions between AM and CM,highlighting the critical role of MPZ^(+)melanoma cells in AM progression.These findings enhance our understanding of AM pathophysiology and may contribute to the development of more targeted therapeutic strategies.
文摘This review provides a comprehensive summary of biomass-based adsorption,with a particular focus on biochar as an innovative,sustainable,and eco-friendly technique for recovering rare earth elements(REEs) from various sources.This study details primary adsorption mechanisms,including physical adsorption,ion exchange,electrostatic attraction,surface complexation,and precipitation,providing a nuanced understanding of how these processes contribute to metal recovery.Additionally,it discusses various biochar modification methods aimed at enhancing surface functionalities,thereby improving adsorption capacity and selectivity.It further addresses the critical challenge of biochar regeneration,outlining methods such as thermal,solvent,microwave irradiation,and supercritical fluid regeneration to sustain biochar's efficacy over multiple cycles.Overall,this comprehensive analysis highlights biochar's versatility and potential in environmental remediation and resource recovery,emphasizing the importance of optimized regeneration techniques to maintain its adsorption efficiency and future research directions for large-scale applications.
基金funded by the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025).
文摘Hemoglobin is a vital protein in red blood cells responsible for transporting oxygen throughout the body.Its accurate measurement is crucial for diagnosing and managing conditions such as anemia and diabetes,where abnormal hemoglobin levels can indicate significant health issues.Traditional methods for hemoglobin measurement are invasive,causing pain,risk of infection,and are less convenient for frequent monitoring.PPG is a transformative technology in wearable healthcare for noninvasive monitoring and widely explored for blood pressure,sleep,blood glucose,and stress analysis.In this work,we propose a hemoglobin estimation method using an adaptive lightweight convolutional neural network(HMALCNN)from PPG.The HMALCNN is designed to capture both fine-grained local waveform characteristics and global contextual patterns,ensuring robust performance across acquisition settings.We validated our approach on two multi-regional datasets containing 152 and 68 subjects,respectively,employing a subjectindependent 5-fold cross-validation strategy.The proposed method achieved root mean square errors(RMSE)of 0.90 and 1.20 g/dL for the two datasets,with strong Pearson correlations of 0.82 and 0.72.We conducted extensive posthoc analyses to assess clinical utility and interpretability.A±1 g/dL clinical error tolerance evaluation revealed that 91.3%and 86.7%of predictions for the two datasets fell within the acceptable clinical range.Hemoglobin range-wise analysis demonstrated consistently high accuracy in the normal and low hemoglobin categories.Statistical significance testing using the Wilcoxon signed-rank test confirmed the stability of performance across validation folds(p>0.05 for both RMSE and correlation).Furthermore,model interpretability was enhanced using Gradient-weighted Class Activation Mapping(Grad-CAM),supporting the model’s clinical trustworthiness.The proposed HMALCNN offers a computationally efficient,clinically interpretable,and generalizable framework for noninvasive hemoglobin monitoring,with strong potential for integration into wearable healthcare systems as a practical alternative to invasive measurement techniques.
基金supported by grants fromthe Shenzhen Medical Research Fund(Grant No.A2302040).
文摘During cellular proliferation DNA undergoes frequent rep-lication cycles in which errors inevitably accumulate.DNA simultaneously faces continuous damage from endogenous sources[e.g.,reactive oxygen species(ROS)]and environmen-tal stressors,such as ultraviolet(UV)and ionizing radiation(IR).Such lesions compromise genomic stability and may escalate into DNA double-strand breaks(DSBs).Failure to repair DSBs can ultimately trigger cell death1.
基金supported by the National Key Research and Development Program of China(Grant No.2021YFF0502900)the National Natural Science Foundation of China(Grant Nos.62575066 and 62027824)+3 种基金the Guangdong Basic and Applied Basic Research Foundation(Grant No.2024A1515011344)the Innovation and Entrepreneurship Teams Project of Guangdong Pearl River Talents Program(Grant No.2019ZT08Y105)the Guangdong-Hong Kong-Macao Intelligent Micro-Nano Optoelectronic Technology Joint Laboratory(Grant No.2020B1212030010)the National Institutes of Health/National Eye Institute(NIH/NEI)(Grant Nos.P30EY07551,R01EY022362,and R01EY022362).
文摘In vivo imaging of human iris vasculature remains a persistent challenge,limiting our understanding of its relationship with ocular disease pathogenesis.Conventional raster scan optical coherence tomography angiography(OCTA)suffers from angular-dependent contrast(including blind spots),limited field of view,and prolonged imaging time—challenges that restrict its clinical utility.We introduce a circular interleaving scan OCTA method that overcomes these barriers by enabling 360 deg high-contrast iris angiography with consistent spatiotemporal sampling and optimized motion contrast.The circular scan design enables directionoptimized sampling:we configured circumferential sampling density to approximately twice the radial density,enhancing detection of radially oriented iris vasculature.A Cartesian–polar coordinate transformation was implemented for eye-motion compensation,vessel realignment,and vasculature reconstruction.Compared with raster scan OCTA,our circular scan protocol demonstrates 1.55×higher efficiency in iris vascular imaging,featuring a superior duty cycle(99.95%versus 82.00%)and eliminating redundant data acquisition from rectangular field corners(27.3%of the circular area).This method improves vessel density measurement by 39.0%and vessel count quantification by 25.2%relative to raster scans.By eliminating angular-dependent blind spots,our method significantly enhances vascular quantification reliability,paving the way to a better understanding of ocular diseases and holding promising potential for future clinical applications.
基金supported by the National Natural Science Foundation of China(Grant No.81927804),horizontal projects ofthe integration between industry and education(Nos.KH54429301,KH54392701)supported by the Research Funding of Hangzhou International Innovation Institute of Beihang University(Grant No.2024KQ098)+2 种基金the China Disabled Persons,Federation special topic(Grant No.CDPF2023KF00001)the National Natural Science Foundation of China(Grant No.8246140544)the National Key Research and Development Plan(Grant Nos.2021YFF0501600,and 2022YFC3601200).
文摘In recmt years,depresion has emerged ss a significant gbbal health cotcern,prompting many individuals to seek pharmacoogical interventions.The identification of inflammatory changes in the hippocampns of depressed patients has highlighted a potential therapeutic target.Never-thelo,the effectiveness of medicntions targeting these specific alterntions has yrt to be fully substantinted.Prediminary remrch has suggusted the potentisl bemefits of photobiomodulation(PBM)as a trestment fot deptession,with no significant adetse eflects reported.This study utiliæd nesr-infrared light at intensities of 50 mW/cmend 300 mW/cm"to illuminate mice with chronic mild strea(CMS)-induced depresion model,aiming to explorethe therapeutik effects of PBM an depresion.The findings revealed that when exposedto a power denstty af 300 m W/cm?,the mice exhibited enhanæd behavioral outcomes,aскоmpanied by deressed levels of inflam-matory eytokines such as Il-1a,11-13,11-5,and'I-6 in the hippocampus.A notewarthy ae-socistion was observed between behavioral manifestations and inflammatory cytokine kvels.This study poits that PBM at an intensity of 300mW/cm is a viable nonpharmacological intervention for depression,as it demonstrntes a notable enhanoment in deprasive symptoms and the regulation of inflammatory medistors within the hippocятpal region of the brain.However,this study is constrained by the particular PBM parameters employed;therefore,additional resesrch is neceary to investigate a broader spectrum af doees and trestment durations in order to enhan the therapeutic application and deepen the understanding of the underlying mechanisma.
