Results 111 to 120 of about 46,364 (247)

Correction: Perceptions and Intentions of Nursing Students Regarding Digital Health: Cross-Sectional Study. [PDF]

JMIR Nurs
Castonguay A, Hegg-Deloye S, Paré G, Etindele Sosso FA.   +3 more
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

IntegriLAB: a blockchain-enabled electronic lab notebook for reproducible neuroimaging research. [PDF]

Front Neuroinform
Easmin R, Veronese M, Allen P, Nordio G, Turkheimer F.   +4 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

What's new in digital and computational pathology 2026: advances in adoption, standards, AI technologies, and clinical integration. [PDF]

J Pathol Transl Med
Sevim S, Hajar C, Sonawane S.
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Correction: Hybrid Care Modifications in the Delivery of Nonpandemic Care During the COVID-19 Pandemic: Scoping Review. [PDF]

J Med Internet Res
Sanchez Villalobos N, van Loenen T, Ngongalah L, Connolly MA, Stein ML, Rovers CP, Timen A.   +6 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

An Open Pharma Vision for company-sponsored biomedical research publications. [PDF]

BMJ Open
Osório J, Baróniková S, Dews SA, Mysore S, Patrikis K, Philippon V, Rains CP, Schmidt A, Skobe C, Winchester CC.   +9 more
europepmc   +1 more source

Digital Data Repository [PDF]

, 2020
openaire   +1 more source