Results 261 to 270 of about 5,327,540 (295)
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Speech therapy in peripheral facial palsy: an orofacial myofunctional approach
, 2009 Hipólito Virgílio Magalhães
openalex +1 more source
Advanced Sensor Research, EarlyView.An electrosynthesized protein‐imprinted polymer (poly(azo‐BBY)) enables probe‐free, real‐capacitance detection of human serum albumin at 0.02 ng mL−1 within a 0.25–3.0 ng mL−1 window. The device uses a redox‐mediator‐free architecture and maintains selectivity against common interferents, illustrating a simple, scalable route to high‐sensitivity ...
Heitor F. Trevizan +4 more
wiley +1 more source
Effectiveness of speech therapy in treating vocal blocking tics in children with Tourette syndrome: Two case reports. [PDF]
Clin Child Psychol PsychiatryPeltokorpi S +3 more
europepmc +1 more source
Advanced Sensor Research, EarlyView.Sports‐related traumatic brain injuries (TBIs) remain underdiagnosed, within amateur athletic cohorts. This review critically synthesises recent advancements in AI‐assisted neuroimaging, blood‐based biomarker profiling, wearable biosensing platforms for early detection, injury stratification, and longitudinal surveillance of TBIs.
Daniel Nicol +3 more
wiley +1 more source
A Systematic Approach to Analyze T Cell Migration: Application to Mouse Melanoma Tumors
Advanced Therapeutics, EarlyView.The results show that a minimum of two migration speeds can be rigorously identified from the data with cells switching between a fast, persistent migratory state, and a slow, random migration state. These results will help in identifying genetic factors that influence rapid migration, among other applications, such as quality control for CAR‐T cell ...
Nikolaos Memmos +4 more
wiley +1 more source
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
Advanced Science, EarlyView.CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang +13 more
wiley +1 more source