Results 231 to 240 of about 782,362 (298)

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha   +2 more
wiley   +1 more source

Evolution of clonal hematopoiesis during cancer treatment and its impact on outcomes. [PDF]

open access: yesJ Clin Invest
Arabzadeh M   +16 more
europepmc   +1 more source

At the edge of change: Native Phragmites persistence and nonnative arrival along the dam‐regulated Colorado River

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise The southwestern United States is at the forefront of nonnative Phragmites australis subsp. australis expansion. Native Phragmites australis subsp. americanus, likely in decline in North America, is ecologically and culturally important and of conservation interest. In the greater Grand Canyon region, the Glen Canyon Dam led to loss of
Emily C. Palmquist   +6 more
wiley   +1 more source

Systematic pathway‐level analysis defines conserved transcriptional divergence between primary lung tumors and cell line models

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Lung cancer cell lines diverge substantially from primary tumors at the transcriptional level. Using single‐sample gene set enrichment analysis and L1‐penalized feature selection across TCGA‐LUAD and CCLE‐LUAD, we identified five Hallmark pathways (E2F targets, G2M checkpoint, IFNγ response, coagulation, and EMT) that discriminated primary tumors from ...
Pritam Bera, Rajesh Raju, Debodipta Das
wiley   +1 more source

From Marginal to Central: Marginal Zone‐like B Cells as Critical Targets in Cladribine‐Treated Multiple Sclerosis

open access: yesAnnals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello   +20 more
wiley   +1 more source

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