Results 191 to 200 of about 4,750 (264)

Artificial Intelligence for Identifying Tumor‐Reactive CD8+ T Cells: Biological Principles, Computational Advances, and Future Directions

Med Research, EarlyView.
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang, Yingying Sun, Yan Zhang, Yifen Shi, Zhiwen Shi   +4 more
wiley   +1 more source

Memorization in large language models in medicine prevalence characteristics and implications. [PDF]

Nat Commun
Li A, Qian L, Du M, Yin Y, Hu Y, Sun Z, Fu Y, Kim H, Stutz E, Ai X, Xie Q, Zhu R, Huang J, Yang Y, Liu S, Tham YC, Ohno-Machado L, Cho H, Lu Z, Xu H, Chen Q.   +20 more
europepmc   +1 more source

Relationship Between Mean Kärger Model Water Exchange Rate and Intercellular Water Transition Rate

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To derive a quantitative relationship between the mean Kärger model (KM) water exchange rate and the mean intercellular water transition rate applicable to brain and other complex biological tissues. Theory and Methods The mean KM water exchange rate applies to any KM, accommodates an arbitrary number of compartments, and can be ...
Jens H. Jensen, Hunter G. Moss, Thorsten Feiweier, Andreana Benitez   +3 more
wiley   +1 more source

Concept-aware contrastive representation learning for cross-translation semantic consistency modeling of the Analects. [PDF]

PLoS One
He T, Dai P, Wang R, Zhao Y, Zhao C.
europepmc   +1 more source

Predicting Mesoscopic Larmor Frequency Shifts in Ex Vivo Porcine Optic Nerve

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Larmor frequency shifts in white matter (WM) vary with fiber orientation due to anisotropic microstructure. Since clinical voxels are significantly larger than these microscopic frequency variations, the measured signal represents a bulk average of local shifts.
Anders Dyhr Sandgaard, André Pampel, Roland Müller, Niklas Wallstein, Toralf Mildner, Carsten Jäger, Markus Morawski, Aage Kristian Olsen Alstrup, Harald E. Möller, Sune Nørhøj Jespersen   +9 more
wiley   +1 more source

KLaR: fusing knowledge graphs and language models for biomedical target discovery. [PDF]

Bioinformatics
Jiang Y, Li Z, Xu Y, Sun H, Xu B, Liu X.
europepmc   +1 more source

AI‐Ready Bureaucracies? Assessing Capacity‐Building Approaches in European National AI Strategies

Public Administration and Development, EarlyView.
ABSTRACT The global expansion of Artificial Intelligence (AI) strategies is reshaping expectations about state capacity, yet the role of civil servants in this transition remains insufficiently theorized. This study examines how EU Member States address the civil service workforce in their national AI strategies, employing content and cluster analysis ...
Manuel Pedro Rodríguez Bolívar, Sergio Medina‐Bernabé, J. Ignacio Criado   +2 more
wiley   +1 more source

Making floras computable: Audited translation of flora of China as reusable taxonomic knowledge. [PDF]

Plant Divers
Liu BB, Ai FZ, Liao CY, Xu C, Luo HR, Xuan J, Song YG, Li M.   +7 more
europepmc   +1 more source

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

People and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source

Deep Semantics Analysis for Scale Development: Replicating Psychometrics Validation Process with Large Language Models. [PDF]

Behav Sci (Basel)
Milano N, Pizzo R, Scandurra C, Freda MF, Marocco D.   +4 more
europepmc   +1 more source