Results 191 to 200 of about 9,194 (254)
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
Advanced Science, Volume 13, Issue 51, 14 September 2026.CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Advanced Science, Volume 13, Issue 50, 7 September 2026.A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
AIChE Journal, Volume 72, Issue 9, September 2026.Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Machine Learning for Synthetic Organic Chemistry: Methods, Applications, and Best Practices
Angewandte Chemie Novit, Volume 2, Issue 3, September 2026.Artificial intelligence (AI) and machine learning (ML) are increasingly reshaping experimental chemistry. This review maps the challenges of synthetic organic chemistry to modern digital tools that can help address them. While focusing on the practical application of ML tools in real‐world laboratory settings, we outline prerequisites, emerging ...
Niklas Hölter +3 more
wiley +1 more source
Cochrane Evidence Synthesis and Methods, Volume 4, Issue 5, September 2026.ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán +5 more
wiley +1 more source
Electroanalysis, Volume 38, Issue 9, September 2026.The oxygen reduction reaction (ORR) at the proton exchange membrane fuel cells (PEMFC) cathode suffers from sluggish kinetics, high platinum loading requirements, and progressive catalyst degradation. This review examines how artificial intelligence (AI) and machine learning (ML) are reshaping the discovery and durability assessment of ORR ...
Aaditya Sharma +4 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.The proposed latent diffusion compositing framework achieves high‐quality, temporally coherent, and efficient real‐time video compositing for practical AI‐driven visual effects applications. ABSTRACT Artificial intelligence–driven visual effects have become increasingly important in film and television production; however, achieving high‐quality real ...
Bowen An, Yue Xie, Yalun Lei
wiley +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.It proposes a personalized design generation algorithm based on Multi‐Constraint Shape Grammar (MCSG) enhanced Diffusion Model (DM). A set of MCSG which can analyze the deep morphological logic of jewelry is studied and constructed. ABSTRACT This study aims to solve the problems that the demand for personalized customization in the field of luxury ...
Yiqi Xie
wiley +1 more source
Environmetrics, Volume 37, Issue 6, September 2026.ABSTRACT The formation of ground‐level ozone follows complex nonlinear photochemical processes that depend on multiple environmental factors and have strong spatio‐temporal structures. Environmental data used to study these dynamics usually originate from multiple sources, including in situ monitoring stations and satellite observations.
Mika Sipilä +5 more
wiley +1 more source
Global Challenges, Volume 10, Issue 9, September 2026.Chemical pollution from persistent organic pollutants, polyfluoroalkyl substances, and heavy metals threatens humans, animals, and ecosystems, yet current monitoring remains fragmented and reactive. This review proposes an AI‐augmented One Health framework combining geospatial source tracking, multispecies exposome reconstruction, predictive toxicology,
Jose L. Domingo
wiley +1 more source