Technology roadmap for flexible sensors

Y Luo, MR Abidian, JH Ahn, D Akinwande… - ACS …, 2023 - ACS Publications
Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

Skin-interfaced wearable sweat sensors for precision medicine

J Min, J Tu, C Xu, H Lukas, S Shin, Y Yang… - Chemical …, 2023 - ACS Publications
Wearable sensors hold great potential in empowering personalized health monitoring,
predictive analytics, and timely intervention toward personalized healthcare. Advances in …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

Flexible sensing enabled agri-food cold chain quality control: A review of mechanism analysis, emerging applications, and system integration

W Huang, X Wang, J Xia, Y Li, L Zhang, H Feng… - Trends in Food Science …, 2023 - Elsevier
Background Traditional silicon-based sensors provide a viable solution for packaging,
detection, and quality control of agri-food in the cold chain. However, the limitations such as …

[HTML][HTML] Wearable artificial intelligence biosensor networks

Y Zhang, Y Hu, N Jiang, AK Yetisen - Biosensors and Bioelectronics, 2023 - Elsevier
The demand for high-quality healthcare and well-being services is remarkably increasing
due to the ageing global population and modern lifestyles. Recently, the integration of …

Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions

M Bhaiyya, D Panigrahi, P Rewatkar, H Haick - ACS sensors, 2024 - ACS Publications
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …

Advances in machine learning for wearable sensors

X Xiao, J Yin, J Xu, T Tat, J Chen - ACS nano, 2024 - ACS Publications
Recent years have witnessed tremendous advances in machine learning techniques for
wearable sensors and bioelectronics, which play an essential role in real-time sensing data …

Antibody-coated wearable organic electrochemical transistors for cortisol detection in human sweat

S Demuru, J Kim, M El Chazli, S Bruce, M Dupertuis… - ACS …, 2022 - ACS Publications
The dysregulation of the hormone cortisol is related to several pathological states, and its
monitoring could help prevent severe stress, fatigue, and mental diseases. While wearable …

Smartphone-based multiplexed biosensing tools for health monitoring

T Beduk, D Beduk, MR Hasan, E Guler Celik, J Kosel… - Biosensors, 2022 - mdpi.com
Many emerging technologies have the potential to improve health care by providing more
personalized approaches or early diagnostic methods. In this review, we cover smartphone …

Electronic skin: opportunities and challenges in convergence with machine learning

JH Koo, YJ Lee, HJ Kim, W Matusik… - Annual Review of …, 2024 - annualreviews.org
Recent advancements in soft electronic skin (e-skin) have led to the development of human-
like devices that reproduce the skin's functions and physical attributes. These devices are …