Results 211 to 220 of about 405,907 (297)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Effectiveness and safety of Risdiplam for types 1-3 spinal muscular atrophy in a single center. [PDF]

BMC Neurol
Zhu X, Li H, Hu C, Wu M, Zhou S, Wang Y, Li W.   +6 more
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Next-generation Alzheimer's therapeutics: target assessment and enablement at the Indiana University School of Medicine-Purdue University TREAT-AD Center. [PDF]

Alzheimers Dement
Richardson TI, Klein RC, Huang K, Zhang J, Mesecar AD, Dage JL, Clayton B, Lamb BT, Palkowitz AD.   +8 more
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Differentiating Transient From Persistent Developmental Delays in a Nationwide Infant Cohort.

JAMA Netw Open
Bilu Y, Amit G, Mayer Lapidot K, Gueron-Sela N, Kerber N, Tsadok MA, Sadaka Y.   +6 more
europepmc   +1 more source

Self-Administered Etripamil Nasal Spray Slows Ventricular Rate in Patients With Atrial Fibrillation: A Post Hoc Analysis of the NODE-303 Study. [PDF]

J Cardiovasc Electrophysiol
Dorian P, Alings M, Coutu B, Ip JE, Martinez FA, Piccini JP, Stambler BS, Sheikh M, Shardonofsky S, Bharucha DB, Camm AJ.   +10 more
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Bridging Perspectives: Clinician-Adolescent Agreement on Psychopathological Severity in the European MILESTONE Cohort. [PDF]

J Clin Psychol
Marcolini F, Magno M, Leone S, Martella D, Leucci AC, Atti AR, Cortese S, De Ronchi D, Dieleman G, Franic T, Gerritsen S, Maras A, McNicholas F, Purper-Ouakil D, Santosh P, Schulze UME, Street C, Singh S, Tremmery S, Tuomainen H, van Bodegom LS, Wolke D, de Girolamo G, MILESTONE Consortium.   +23 more
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source