Results 201 to 210 of about 1,172,362 (258)

Sex-related molecular phenotypes in anxiety-depressive disorders: a machine learning analysis of routine blood biomarkers. [PDF]

Front Psychiatry
Zhen W, Chen J, Zhen H, Zhang Y, Du S, Zhang W, Peng D.   +6 more
europepmc   +1 more source

Evaluating Large‐Language Models in Bioinformatics Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
This work systematically evaluates advanced large language models across six representative bioinformatics tasks, from drug–drug interaction prediction and molecular optimization to single‐cell annotation and computational biology problem solving. The benchmark quantifies both their promise and limitations, offering practical guidance for prompt design,
Hengchuang Yin, Ziwen Cui, Dongxu Li, Yue Yang, Ying Chang, Xiaobo Zhu, Jun Zhang, Pengwei Hu, Xi Zhou, Lun Hu   +9 more
wiley   +1 more source

Behavioral Phenotypes of Omani Children with Autism Spectrum Disorder. [PDF]

Behav Sci (Basel)
Al Saidi A, Chan MF, Al-Mamari W, B Idris A, Al Shirawi S, Al Hashmi Z.   +5 more
europepmc   +1 more source

DNA Methylation and Transcriptomic Profiles of Wilms Tumour Reveal New Deregulated Genes and Epigenetic Processes Relevant for Tumour Stratification and Management

International Journal of Cancer, Volume 159, Issue 11, Page 2736-2754, 1 December 2026.
ABSTRACT Wilms Tumour (WT), the most common kidney cancer in children, presents features of altered kidney development and frequently exhibits molecular alterations at the 11p15.5 imprinted locus, affecting the IGF2 and H19 genes, which contribute to tumour growth and predisposition.
Abu Saadat, Francesco Cecere, Federica Rossetti, Laura Pignata, Emilia D'Angelo, Carlo Giaccari, Gaetano Verde, Paola Quarello, Franca Fagioli, Josep Roma, Manel Esteller, Enrique de Álava, Flavia Cerrato, Andrea Riccio, Angela Sparago   +14 more
wiley   +1 more source

Metabolic heterogeneity at the onset of type 2 diabetes: phenotypes of insulin resistance and β-cell function in the Kazakh population. [PDF]

Front Endocrinol (Lausanne)
Tleumagambetova B, Kosmuratova R, Kudabayeva K, Bazargaliyev Y.   +3 more
europepmc   +1 more source

Affordable, practical, and robust biomass estimation in rice with minimal equipment using deep learning‐based image segmentation

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant biomass measurements are critical for crop improvement and breeding programs. Such measurements rely on destructive and labor‐intensive methods that limit continuous measurements of biomass over plant growth stages and time. This study aimed to develop an inexpensive, nondestructive method for estimating aboveground biomass in rice ...
John R. Mitchell, Jai S. Rohila, Trevis D. Huggins, Sathish K. Ponniah, Jeremy D. Edwards   +4 more
wiley   +1 more source

From heterogeneity to translation: data‑driven subtyping of autism in a multilevel framework. [PDF]

Transl Psychiatry
Wang XK, Zhang Z, Li S, Ren RX, Hao LR, Cao Y, Wang SD, Ouyang G.   +7 more
europepmc   +1 more source

Evaluating the English Teaching System in Smart Universities Using K‐Means Clustering for Enhanced Student Engagement and Sustainable Development

European Journal of Education, Volume 61, Issue 4, December 2026.
ABSTRACT The growing needs for quality English education in technology‐enhanced universities require evidence‐based assessment measures to promote learner engagement and sustainability. Technology‐Enhanced Learning (TEL) integrates digital technologies and online learning tools into English teaching to support interactive, flexible and personalized ...
Wu Juan
wiley   +1 more source

Multidimensional clustering of clinical, metabolic, and ultrasound features for 30-day mortality risk stratification in ischemic stroke patients with carotid atherosclerotic plaque. [PDF]

Front Neurol
Fu L, Huang S, Zou Y, Li L.
europepmc   +1 more source

Uncertainty‐suppressed long‐tailed learning with lightweight feature adaptation for multi‐label chest X‐ray classification

Journal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
Abstract Background Report‐mined chest radiograph datasets commonly contain both long‐tailed label distributions and uncertain annotations. Conventional frequency‐based re‐weighting can strengthen rare‐label learning, but it may also amplify unreliable supervision when uncertain labels occur in minority classes.
Lu Li
wiley   +1 more source