Results 111 to 120 of about 253,016 (276)
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
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
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
Machine Learning Accelerates Crystallization for Structure Determination
Single‐crystal x‐ray diffraction (SCXRD) is often constrained by the difficulty of obtaining suitable crystals. Here, a machine learning‐accelerated co‐crystal discovery workflow is established for a crystalline mate strategy that achieves over 95% prediction accuracy and experimentally delivers 114 co‐crystals from 120 candidates.
Cui‐Zhou Luan +10 more
wiley +2 more sources
ABSTRACT In a large multicenter real‐world cohort, we aimed to evaluate outcomes of FLAG‐Ida salvage therapy for relapsed/refractory (R/R) acute myeloid leukemia (AML) and validated the SALFLAGE prognostic score. We analyzed 1079 adults with R/R AML treated across 112 PETHEMA institutions over 26 years (1998–2024), including patients with primary ...
Gaspar Aspas Requena +49 more
wiley +1 more source
ABSTRACT Over almost two decades, young people's employment opportunities have been significantly impacted by events like the Global Financial Crisis (2008–2009) and the COVID‐19 pandemic (2020‐). Thus, underemployment has become a more pervasive and persistent feature of young people's labour market experiences. This research focuses on three forms of
Brendan Churchill
wiley +1 more source
This study compared monkeypox virus (MPXV) infection in three small animal models: Syrian hamsters, C57BL/6 mice, and BALB/c mice. Following intraperitoneal inoculation, Syrian hamsters exhibited the highest susceptibility, with rapid systemic viral dissemination, elevated splenic and renal viral burdens, and severe histopathological damage, followed ...
Xiaohui Wei +9 more
wiley +1 more source
Scientific research with animals in the UK is regulated by the Animals (Scientific Procedures) Act 1986 with the National Centre for the Replacement, Refinement and Reduction of Animals in Research providing support for best practice and facilitating development of new approach methodologies.
Ewan St. John Smith +6 more
wiley +1 more source

