A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data. [PDF]
Pedroso AF, Schwamm LH, Khera R.
europepmc +1 more source
Flexible Ag2Te thin films achieving a record‐high mobility of 4756 cm2 V−1 s−1 and a peak power factor of 18.5 µW cm−1 K−2 are developed via precise structural control. The assembled flexible devices demonstrate excellent mechanical stability and ultrafast voltage response, enabling precise thermal detection when integrated into a robotic gripper for ...
Yue‐Xing Chen +15 more
wiley +1 more source
A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing +10 more
wiley +1 more source
Federated foundation models for psychiatry: a new paradigm for diagnosis, prognosis, and treatment of mood disorders. [PDF]
Ebrahimi M +3 more
europepmc +1 more source
Personalised Risk Modelling for Older Adult Cancer Survivors: Combining Wearable Data and Self-Reported Measures to Address Time-Varying Risks. [PDF]
Valero-Ramon Z +3 more
europepmc +1 more source
Reimagining cardiac care with AI, LLMs, blockchain, and metaverse. [PDF]
Musamih A, Salah K, Omar M, Ellaham S.
europepmc +1 more source
Sports Industry 5.0: reimagining sport through technology, humanity, and sustainability. [PDF]
Madsen DØ, Glebova E.
europepmc +1 more source
Artificial intelligence and wearable sensors in sports injury risk prediction: current status and future perspectives. [PDF]
Dong G, Tan X, Yuan P, Li Y.
europepmc +1 more source

