Results 241 to 250 of about 828,366 (333)
Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming. [PDF]
Chen S, Qi X.
europepmc +1 more source
A compact, wireless neural stimulator featuring a novel tapping inductor enables selective and independent stimulation of the motor cortex in rats via a single receiver coil. This minimally invasive system effectively reduces neuropathic pain through targeted cortical activation, offering a new avenue for bioelectronic pain therapies and advancing ...
Jeongju Moon +9 more
wiley +1 more source
Author's Reply: Critical Limitations in Systematic Reviews of Large Language Models in Health Care.
Python A, Li H, Fu JF.
europepmc +1 more source
PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning. [PDF]
Costa-Gomes B +10 more
europepmc +1 more source
This innovative ink engineering strategy enables the integration of bioactive nanocomposites into complex, multi‐material constructs. By combining primary chemical coupling and post‐printing photocuring, the study achieves tunable printability, seamless material integration, and robust mechanical performance.
João R. Maia +7 more
wiley +1 more source
Protocol for integrating immunohistochemistry and H&E annotations with Xenium data at single-cell resolution. [PDF]
Chen J +6 more
europepmc +1 more source
Electrochemical Biosensor for Rapid Detection of Acute Rejection in Kidney Transplants
A low‐cost, rapid electrochemical immunosensor coated with a novel antifouling nanocomposite enables single‐step, dual‐biomarker profiling directly from unprocessed urine. Application in a clinical study shows accurate discrimination of acute rejection in kidney transplants from other acute kidney injuries via machine learning.
Rohit Gupta +9 more
wiley +1 more source
AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer +3 more
wiley +1 more source

