Results 221 to 230 of about 88,634 (286)

Multimodal MRI and multiomics reveal high‐risk neurophenotype in brain‐gut circuits as therapeutic target for Crohn's disease

Interdisciplinary Medicine, EarlyView.
Through a translational framework combining prospective dual‐center clinical cohorts with dextran sulfate sodium‐induced colitis models, this work integrated advanced neuroimaging, multi‐omics and neuromodulation interventions to redefine the high‐risk neurophenotype as a sustained pathogenic driver rather than a mere phenomenon, proposing brain‐gut ...
Xuehua Li, Ruonan Zhang, Xiaodi Shen, Shaochun Lin, Chuhuai Wang, Weikai Zheng, Weimiao Kong, Zihao Lin, Rongchang Li, Caiguang Liu, Xin Cao, Li Huang, Weitao He, Jinjiang Lin, Haijie Wang, Zhoulei Li, Marietta Iacucci, Subrata Ghosh, Zhenpeng Peng, Canhui Sun, Minhu Chen, Guang Yang, Yejun Wang, Ren Mao, Shi‐Ting Feng   +24 more
wiley   +1 more source

Acceptance of Artificial Intelligence in Clinical Practice Among Chinese Physicians: Nationwide Cross-Sectional Survey Using Extended Unified Theory of Acceptance and Use of Technology and Explainable Machine Learning.

JMIR Med Inform
Shi X, Tian Z, Guo Q, Qiao B, Wang X.
europepmc   +1 more source

Decadal Changes of UV Aerosol Optical Depth in Hobart, Australia Measured With a Brewer MKIII: Relationship to Bushfire Events and Climate Indices

International Journal of Climatology, EarlyView.
Monthly average aerosol optical depth at 320 nm obtained with a Brewer MKIII spectrophotometer for Hobart, Australia (42.8806° S, 147.3250° E) over a 21‐year period. There is a linear trend of 15.4% per decade. There are 9 months when the average aerosol optical depth exceeds twice the monthly standard deviation.
Manuel Nuñez, Antonio Serrano, Peter Love, Nels Larson   +3 more
wiley   +1 more source

Integrating machine learning with SHAP to uncover multi-tissue molecular signatures in Osteoarthritis progression. [PDF]

PLoS One
Zhao J, Tao J, Song Y, Yang J, Lin X, Ye Z, Lu C, Zeng M, Chen W, Liu W.   +9 more
europepmc   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

Radiomics-machine learning model for predicting invasiveness of subcentimeter subsolid lung adenocarcinoma: a validation study with external cohort and SHAP interpretability. [PDF]

Front Oncol
Feng W, Chang R, Li T, Wang X, Gao Z, Yang X, Yin Y, Zuo Y.   +7 more
europepmc   +1 more source

Explainable Artificial Intelligence Unravels the Possible Distinct Roles of VKORC1 and CYP2C9 in Predicting Warfarin Anticoagulation Control. [PDF]

Med Sci (Basel)
Sridharan K, Sivaramakrishnan G.
europepmc   +1 more source

Machine learning-based predictive model for postoperative delirium of elderly patients with coronary heart disease undergoing non-cardiac surgery: a retrospective cohort study. [PDF]

Front Psychiatry
Kong W, Jiang J, Wang Y, Chen J, Wang B, Wang K, Liang Y, Wang J, Li C, Lin Y, Gong H, Liang Y, Bi Y, Lin X.   +13 more
europepmc   +1 more source