Prosthetic devices designed to assist individuals with damaged or missing body parts have made significant strides,particularly with advancements in machine intelligence and bioengineering.Initially focused on movemen...Prosthetic devices designed to assist individuals with damaged or missing body parts have made significant strides,particularly with advancements in machine intelligence and bioengineering.Initially focused on movement assistance,the field has shifted towards developing prosthetics that function as seamless extensions of the human body.During this progress,a key challenge remains the reduction of interface artifacts between prosthetic components and biological tissues.Soft electronics offer a promising solution due to their structural flexibility and enhanced tissue adaptability.However,achieving full integration of prosthetics with the human body requires both artificial perception and efficient transmission of physical signals.In this context,synaptic devices have garnered attention as next-generation neuromorphic computing elements because of their low power consumption,ability to enable hardware-based learning,and high compatibility with sensing units.These devices have the potential to create artificial pathways for sensory recognition and motor responses,forming a“sensory-neuromorphic system”that emulates synaptic junctions in biological neurons,thereby connecting with impaired biological tissues.Here,we discuss recent developments in prosthetic components and neuromorphic applications with a focus on sensory perception and sensorimotor actuation.Initially,we explore a prosthetic system with advanced sensory units,mechanical softness,and artificial intelligence,followed by the hardware implementation of memory devices that combine calculation and learning functions.We then highlight the importance and mechanisms of soft-form synaptic devices that are compatible with sensing units.Furthermore,we review an artificial sensory-neuromorphic perception system that replicates various biological senses and facilitates sensorimotor loops from sensory receptors,the spinal cord,and motor neurons.Finally,we propose insights into the future of closed-loop neuroprosthetics through the technical integration of soft electronics,including bio-integrated sensors and synaptic devices,into prosthetic systems.展开更多
The severity of an initial burn injury is critical for determining the treatment plan and prognosis of burn patients. Here, we measured serum neutrophil gelatinase-associated lipocalin (NGAL) levels to determine wheth...The severity of an initial burn injury is critical for determining the treatment plan and prognosis of burn patients. Here, we measured serum neutrophil gelatinase-associated lipocalin (NGAL) levels to determine whether NGAL can be used as a biomarker for severity of burn injuries. A study of the demographic, clinical, and laboratory markers for various organ damage was performed at Bestian Burn Center (n = 10 healthy people, n = 31 patients). NGAL and organ damage marker levels were measured in 31 patients with severe burns within 2 - 3 days following their admission to the intensive care unit. Serum NGAL level of the expired patients was 788.5 (685.0 - 998.0) pg/mL, whereas that of the discharged patients was 421.2 (356.2 - 480.6) pg/mL, showing that the initial serum NGAL level can be used to estimate mortality. We also determined the correlation between serum NGAL level and the currently used severity markers (total body surface area burned and abbreviated burn severity index) and confirmed that serum NGAL level could be used as a severity marker. We also found that serum NGAL level was correlated with damage of organs such as the liver, kidney, heart, and respiratory organs in patients with severe burns.展开更多
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2020R1C1C1005567)supported by the NAVER Digital Bio Innovation Research Fund,funded by NAVER Corporation(Grant No.[37-2023-0040])+3 种基金supported by Institute of Information&communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.2020-0-00261,Development of low power/low delay/self-power suppliable RF simultaneous information and power transfer system and stretchable electronic epineurium for wireless nerve bypass implementation)supported by Institute for Basic Science(IBS-R015-D1,IBSR015-D2)supported by a grant of the Korea-US Collaborative Research Fund(KUCRF)funded by the Ministry of Science and ICT and Ministry of Health&Welfare,Republic of Korea(Grant Number.RS-2024-00467213)。
文摘Prosthetic devices designed to assist individuals with damaged or missing body parts have made significant strides,particularly with advancements in machine intelligence and bioengineering.Initially focused on movement assistance,the field has shifted towards developing prosthetics that function as seamless extensions of the human body.During this progress,a key challenge remains the reduction of interface artifacts between prosthetic components and biological tissues.Soft electronics offer a promising solution due to their structural flexibility and enhanced tissue adaptability.However,achieving full integration of prosthetics with the human body requires both artificial perception and efficient transmission of physical signals.In this context,synaptic devices have garnered attention as next-generation neuromorphic computing elements because of their low power consumption,ability to enable hardware-based learning,and high compatibility with sensing units.These devices have the potential to create artificial pathways for sensory recognition and motor responses,forming a“sensory-neuromorphic system”that emulates synaptic junctions in biological neurons,thereby connecting with impaired biological tissues.Here,we discuss recent developments in prosthetic components and neuromorphic applications with a focus on sensory perception and sensorimotor actuation.Initially,we explore a prosthetic system with advanced sensory units,mechanical softness,and artificial intelligence,followed by the hardware implementation of memory devices that combine calculation and learning functions.We then highlight the importance and mechanisms of soft-form synaptic devices that are compatible with sensing units.Furthermore,we review an artificial sensory-neuromorphic perception system that replicates various biological senses and facilitates sensorimotor loops from sensory receptors,the spinal cord,and motor neurons.Finally,we propose insights into the future of closed-loop neuroprosthetics through the technical integration of soft electronics,including bio-integrated sensors and synaptic devices,into prosthetic systems.
文摘The severity of an initial burn injury is critical for determining the treatment plan and prognosis of burn patients. Here, we measured serum neutrophil gelatinase-associated lipocalin (NGAL) levels to determine whether NGAL can be used as a biomarker for severity of burn injuries. A study of the demographic, clinical, and laboratory markers for various organ damage was performed at Bestian Burn Center (n = 10 healthy people, n = 31 patients). NGAL and organ damage marker levels were measured in 31 patients with severe burns within 2 - 3 days following their admission to the intensive care unit. Serum NGAL level of the expired patients was 788.5 (685.0 - 998.0) pg/mL, whereas that of the discharged patients was 421.2 (356.2 - 480.6) pg/mL, showing that the initial serum NGAL level can be used to estimate mortality. We also determined the correlation between serum NGAL level and the currently used severity markers (total body surface area burned and abbreviated burn severity index) and confirmed that serum NGAL level could be used as a severity marker. We also found that serum NGAL level was correlated with damage of organs such as the liver, kidney, heart, and respiratory organs in patients with severe burns.
