Results 191 to 200 of about 155,424 (278)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Cancer heterogeneity and multilayer spatial evolutionary games. [PDF]
Biol Direct, 2016 Świerniak A, Krześlak M.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Structural symmetry in evolutionary games. [PDF]
J R Soc Interface, 2015 McAvoy A, Hauert C.
europepmc +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
Advanced Intelligent Systems, EarlyView.This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Stereoselective Biotransformation: Transfer of Learning to Advance Drug Metabolism and Biocatalysis
Angewandte Chemie, EarlyView.Understanding stereoselective biotransformations has implications for predicting drug disposition and response and may also inspire novel biocatalytic and biomimetic strategies to address challenges in metabolite and API synthesis. ABSTRACT Chirality is an important determinant of drug action, as enantiomers can exhibit markedly different ...
Grace A. Okunlola, Godwin A. Aleku
wiley +2 more sources
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Angewandte Chemie, EarlyView.A catalytic network embedding a formal rearrangement enables the first catalytic enantioselective multicomponent reaction (MCR) of sulfur ylides. In the presence of a bulky chiral phosphoric acid, the reaction combines sulfoxonium ylides, aldehydes and thiols, and affords synthetically versatile β‐hydroxy‐α‐sulfanyl carbonyl compounds in ...
Nicolò Santarelli +10 more
wiley +2 more sources
Evolutionary games of condensates in coupled birth-death processes. [PDF]
Nat Commun, 2015 Knebel J, Weber MF, Krüger T, Frey E.
europepmc +1 more source