Results 201 to 210 of about 24,298 (249)

Sensitivity analysis of slope stability based on eXtreme gradient boosting and SHapley Additive exPlanations: An exploratory study. [PDF]

Heliyon
Lin H, Li L, Qiang Y, Zhang Y, Liang S, Xu X, Li H, Hu S.   +7 more
europepmc   +1 more source

Proteomic Signatures of Ectopic Fat Distribution: Tissue‐Specific Drivers and Clinical Implications

Med Research, EarlyView.
Integration of plasma proteomics and multi‐organ MRI in 666 UK Biobank participants, combined with a knockoff‐based causal inference and machine learning framework, reveals organ‐specific drivers of ectopic fat: PLA2G1B (pancreas), ERBB2/IGFBP2 (liver), CA14 (muscle), and NCAM2/TNFRSF10B (pericardium). These drivers engage distinct pathways (e.g., PI3K‐
Bing Zhang, Fen Yang, Xingji Lian, Jie He, Shuijin Huang, Mingjuan Fan, Yin Liang, Jiaqiang Huang, LongYan Yin, Hong Wang   +9 more
wiley   +1 more source

Random forest and Shapley Additive exPlanations predict oxytocin targeted effects on brain functional networks involved in salience and sensorimotor processing, in a randomized clinical trial in autism. [PDF]

Neuropsychopharmacology
Andari E, Gopinath K, O'Leary E, Caceres GA, Nishitani S, Smith AK, Ousley O, Rilling JK, Cubells JF, Young LJ.   +9 more
europepmc   +1 more source

Effectiveness of bot detection method for MMORPG behavior Using Shapley additive explanations

KSII Transactions on Internet and Information Systems
Dong-young Yoo, Yong-Joon Lee, Hyun-Ho Park, Young-woo Hong   +3 more
openaire   +1 more source

Artificial Intelligence for Identifying Tumor‐Reactive CD8+ T Cells: Biological Principles, Computational Advances, and Future Directions

Med Research, EarlyView.
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang, Yingying Sun, Yan Zhang, Yifen Shi, Zhiwen Shi   +4 more
wiley   +1 more source

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach. [PDF]

Front Psychiatry
Niu T, Cao S, Cheng J, Zhang Y, Zhang Z, Xue R, Ma J, Ran Q, Xian X.   +8 more
europepmc   +1 more source

Diagnostic Value of Glycocalyx Shedding in Blood for Differentiating between Parkinson's Disease and Multiple System Atrophy

Movement Disorders, EarlyView.
Abstract Background Blood–brain barrier disruption is increasingly recognized in synucleinopathies, but the role of the endothelial glycocalyx (GLX) in Parkinson's disease (PD) and multiple system atrophy (MSA) remains unclear. Objectives The aim was to determine whether plasma GLX markers differ between PD, MSA, and healthy controls (HC), relate to ...
Jonas Folke, Brian DellaValle, Mathias Lindh Jørgensen, Phillip Bredahl Mogensen, Casper Hempel, Jørgen Rungby, Anne‐Mette Hejl, Annemette Løkkegaard, Lisette Salvesen, Sara Bech, Mette Møller, Erik Hvid Danielsen, Morten Blaabjerg, Matthias Bode, Tomasz Brudek, Susana Aznar   +15 more
wiley   +1 more source

Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations. [PDF]

Transl Psychiatry
Song Y, Zhang D, Wang Q, Liu Y, Chen K, Sun J, Shi L, Li B, Yang X, Mi W, Cao J.   +10 more
europepmc   +1 more source

A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra, Jolanda Buonocore, Antonio Augimeri, Camilla Calomino, Maria Giovanna Bianco, Alessia Sarica, Pier Paolo Arcuri, Aldo Quattrone, Andrea Quattrone   +8 more
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

Medicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source