Results 151 to 160 of about 69,135 (255)

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

Advanced Materials, Volume 38, Issue 5, 22 January 2026.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob, Aron Walsh, Karsten Reuter, Johannes T. Margraf   +3 more
wiley   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

Advanced Science, Volume 13, Issue 3, 14 January 2026.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang, Yiran Fang, Xiatong Huang, Guichuang Ma, Qianqian Mao, Xiansheng Lu, Guangda Rong, Yunfang Yu, Yuanyuan Wang, Zhenhua Huang, Huiying Sun, Jiani Wu, Wenchao Gu, Na Huang, Jianhua Wu, Rui Zhou, Xiaoxiang Rong, Siting Zheng, Shaowei Li, Gaofeng Wang, Ling Wang, Wenjun Qiu, Luyang Jiang, Peng Luo, Yonggang Liu, Jianping Bin, Yulin Liao, Min Shi, Zuqiang Wu, Jiguang Wang, Wangjun Liao, Gang Chen, Dongqiang Zeng   +32 more
wiley   +1 more source

DendroTweaks, an interactive approach for unraveling dendritic dynamics. [PDF]

Elife
Makarov R, Chavlis S, Poirazi P.
europepmc   +1 more source

Quantifying the Single‐Cell Morphological Landscape of Cellular Transdifferentiation through Force Field Reconstruction

Advanced Science, Volume 13, Issue 1, 5 January 2026.
This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu, Chuanbo Liu, Erkang Wang, Jin Wang   +3 more
wiley   +1 more source

A metric of knowledge as information compression reflects reproducibility predictions for biomedical experiments. [PDF]

R Soc Open Sci
Fanelli D, Tan PB, Amaral OB, Neves K.
europepmc   +1 more source

Mining the Gaps: Rethinking Divergence Between Biological and Self‐Report Measures in the Study of Sexual Diversity

American Journal of Human Biology, Volume 38, Issue 1, January 2026.
ABSTRACT Over the past several decades, scholars have conducted hundreds of studies investigating potential biomarkers of sexual orientation, such as genes, neuroanatomical features, and patterns of physiological response to sexual stimuli. The findings have been inconsistent: Biological measures sometimes converge with—but just as often diverge from ...
Lisa M. Diamond
wiley   +1 more source

A blended modeling framework for real-time design and verification of safety-critical embedded systems. [PDF]

PLoS One
Awan MM, Anwar MW, Butt WH, Azam F.
europepmc   +1 more source

Early‐life influences on the risk for later‐life Alzheimer's and non‐Alzheimer's dementia: A nearly full life course prospective cohort study

Alzheimer's &Dementia, Volume 22, Issue 1, January 2026.
Abstract BACKGROUND Dementia prevention research has largely used educational attainment as a proxy for early‐life. Given the known influence of early‐life exposures on brain development, more attention to early‐life exposures is warranted. METHODS We employ the Wisconsin Longitudinal Study, a nearly full life course cohort study, to examine the ...
Pamela Herd, Kamil Sicinski, Victoria Williams, Sanjay Asthana, Michal Engelman   +4 more
wiley   +1 more source

Modulatory feedback determines attentional object segmentation in a model of the ventral stream. [PDF]

PLoS One
Papale P, Williford JR, Balk S, Roelfsema PR.   +3 more
europepmc   +1 more source

Bottom-Up Parser: Look-Ahead LR Parser

, 2019
Pooja Rani
openalex   +1 more source