End-to-end design of wearable sensors
Wearable devices provide an alternative pathway to clinical diagnostics by exploiting
various physical, chemical and biological sensors to mine physiological (biophysical and/or …
various physical, chemical and biological sensors to mine physiological (biophysical and/or …
Machine learning for healthcare wearable devices: the big picture
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …
been actively researched over the last few years. It holds promising opportunities as it is …
[HTML][HTML] Biosensors applications in medical field: A brief review
Research sciences and medical societies have recently shifted into using cost-effective
biosensors to test food & water contaminants, control human biologic processes, assess …
biosensors to test food & water contaminants, control human biologic processes, assess …
Smart materials: rational design in biosystems via artificial intelligence
Industry 4.0 encompasses a new industrial revolution in which advanced manufacturing
systems are interconnected with information technologies. These sophisticated data …
systems are interconnected with information technologies. These sophisticated data …
Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies
Early‐stage disease detection, particularly in Point‐Of‐Care (POC) wearable formats,
assumes pivotal role in advancing healthcare services and precision‐medicine. Public …
assumes pivotal role in advancing healthcare services and precision‐medicine. Public …
AI-assisted detection of biomarkers by sensors and biosensors for early diagnosis and monitoring
T Wasilewski, W Kamysz, J Gębicki - Biosensors, 2024 - pmc.ncbi.nlm.nih.gov
The steady progress in consumer electronics, together with improvement in microflow
techniques, nanotechnology, and data processing, has led to implementation of cost …
techniques, nanotechnology, and data processing, has led to implementation of cost …
[HTML][HTML] Artificial intelligence in the NHS: climate and emissions✰,✰✰
PS Bloomfield, P Clutton-Brock, E Pencheon… - The Journal of Climate …, 2021 - Elsevier
Healthcare provision has a significant climate impact and, conversely, the climate is a
determinant of population health. Research is underway to quantify the emissions from …
determinant of population health. Research is underway to quantify the emissions from …
A methodical review on the applications and potentialities of using nanobiosensors for disease diagnosis
Presently, with the introduction of nanotechnology, the evolutions and applications of
biosensors and/or nanobiosensors are becoming prevalent in various scientific domains …
biosensors and/or nanobiosensors are becoming prevalent in various scientific domains …
Integrating machine learning and biosensors in microfluidic devices: a review.
Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …
exciting applications, from chemical research to Point-of-Care devices, passing through drug …
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
This study proposes a contrastive convolutional auto-encoder (contrastive CAE), a
combined architecture of an auto-encoder and contrastive loss, to identify individuals with …
combined architecture of an auto-encoder and contrastive loss, to identify individuals with …