Results 41 to 50 of about 340 (123)
The Journal of Pathology: Clinical Research, Volume 12, Issue 4, July 2026.Abstract Breast cancer (BC) is most prevalent in females but also accounts for <1% of male cancer cases and 0.2% of male cancer‐related deaths. Distribution of histological subtypes, receptor status, and age of diagnosis varies based on sex, and a growing body of evidence supports sex‐specific molecular differences in BC.
Subarnarekha Chatterji +11 more
wiley +1 more source
Journal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, Volume 13, Issue 35, 24 June 2026.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Atmospheric Science Letters, Volume 27, Issue 6, June 2026.This study investigates the multiscale evolution of forecast distributions using 1000‐member global circulation model ensembles. Initially different distributions converge to the same time‐varying equilibrium distribution, and the equilibration time scale noticeably exceeds the variance saturation time. Prior to equilibration, the forecast distribution
Man‐Yau Chan +5 more
wiley +1 more source
Glia, Volume 74, Issue 6, June 2026.Distinct microglial subpopulations are depicted, highlighting variations in gene expression and functional roles in response to specific disease conditions and the complexity of microglial activation and differentiation in neurodegeneration. ABSTRACT Microglial cells are key players in maintaining brain homeostasis and responding to pathological ...
Alessandro Palma +6 more
wiley +1 more source
Human Brain Mapping, Volume 47, Issue 8, June 1, 2026.We propose MSSM+, an extension of multiscale structural mapping (MSSM), together with surface supervertex mapping (SSVM) and a Supervertex Vision Transformer (SV‐ViT). Together, these methods exhibited better performance in detecting Alzheimer's disease and less variability across MR vendors than MSSM.
Geonwoo Baek +3 more
wiley +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
Macromolecular Rapid Communications, Volume 47, Issue 12, 22 June 2026.The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
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Public Health Challenges, Volume 5, Issue 2, June 2026.SAP was linked to 40% increased odds of non‐private discharge (aOR = 1.40, 95% CI: 1.18–165), and SMISED had about two‐fold increased odds (aOR = 2.10, 95% CI: 1.44–3.05) compared to discharge in private residence. For individuals with SAP, unemployed Hispanic/Latino clients showed the highest odds of non‐private discharge compared to employed clients (
Eden Moges +3 more
wiley +1 more source
Amplification of Flood Hazard and Damage by Compounding Pluvial and Fluvial Flooding
Earth's Future, Volume 14, Issue 6, June 2026.Abstract Flood risk management has traditionally treated fluvial and pluvial flooding in isolation, for example, by producing inundation maps separately for each flood type. Here, we develop an integrated modeling framework capable of capturing the interplay of both flood types when they co‐occur.
Xiaoxiang Guan +8 more
wiley +1 more source
Fourier Neural Pseudo‐Log Generator for Well Log Reconstruction and Beyond‐Record Generation
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Geophysical well logging is crucial for subsurface exploration, but its application is often hindered by incomplete data and high operational costs. To address these challenges, we propose the Fourier neural pseudo‐log generator (FNPG), a novel generative model capable of both missing well log reconstruction and generation of new, beyond ...
Zicheng Gai, Yanfei Wang
wiley +1 more source