Results 271 to 280 of about 1,169,808 (377)

Construction and application of machine learning models for predicting intradialytic hypotension. [PDF]

PLoS One
Wang P, Xu N, Wu L, Hong Y, Qu Y, Ren Z, Luo Q, Cai K.   +7 more
europepmc   +1 more source

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

Advanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young, Jun Inamo, Zachary Caterer, Revanth Krishna, Fan Zhang   +4 more
wiley   +1 more source

Lung cancer risk prediction using augmented machine learning pipelines with explainable AI. [PDF]

Front Artif Intell
M S P, D S, Chakrabortty A.
europepmc   +1 more source

Synergistic Modulation of Microglial Polarization by Acteoside and Ferulic Acid via Dual Targeting of Nrf2 and RORγt to Alleviate Depression‐Associated Neuroinflammation

Advanced Science, EarlyView.
Machine‐learning‐directed phytochemical pair ACT/FA, administered at BDD's orthodox ratio, synergistically modulates microglial polarization via dual Nrf2/RORγt targeting to attenuate neuroinflammation and depressive behaviors. This concentration‐dependent synergism replicates the parent formula's efficacy while providing a mechanistic basis for ...
Dongjing Guo, Qiancheng Mao, Xinyu Fang, Liuxuan Huang, Haoquan Tian, Wenguang Yang, Feiyue Zhou, Ke Ma   +7 more
wiley   +1 more source

Integration of satellite data for predicting crop yields in Eastern Ethiopia using machine learning. [PDF]

Sci Rep
Abate J, Aman A, Adem D.
europepmc   +1 more source

Storage Potential of Soil Functional Carbon Fractions in the World's Largest Plantations

Advanced Science, EarlyView.
Climate warming and drying increase the loss of mineral‐associated and particulate organic carbon during the conversion of natural forests to plantations. Based on a survey of the world's largest plantations, the study quantifies the soil carbon deficit in plantations and assesses benchmarks and targets for functional soil organic carbon, highlighting ...
Siyu Ren, Hui Wang, Tao Zhou, Chuankuan Wang, Zhenghu Zhou, Shirong Liu   +5 more
wiley   +1 more source

Igfbp2 Downregulation in PVT‐CeA Glutamatergic Circuits Drives Neonatal Anesthesia‐Induced Fear Memory Deficits

Advanced Science, EarlyView.
Repeated neonatal sevoflurane exposure impairs adolescent fear memory through Igfbp2 downregulation in paraventricular thalamus‐central amygdala glutamatergic projections. Restoring Igfbp2 or activating this circuit rescues memory deficits, neuronal excitability, and spine density, identifying a precise molecular target for preventing anesthesia ...
Weiming Zhao, Ke Peng, Baojian Zhao, Xiaowen Meng, Gang Wang, Hanbing Xu, Li Deng, Xisheng Shan, Yichan Wang, Qiya Xu, Yanan Gao, Ruixia Weng, Hong Liu, Jin Tao, Huayue Liu, Shaoyong Song, Fuhai Ji   +16 more
wiley   +1 more source

Fault classification in the architecture of virtual machine using deep learning. [PDF]

Sci Rep
Rawat A, Mishra A, Alsharif H, Alharthi RM, Gupta BB.   +4 more
europepmc   +1 more source

The Gut Resistome Atlas in Preterm Infants Enables Prediction of Necrotizing Enterocolitis Onset

Advanced Science, EarlyView.
The gut resistome of preterm infants and its clinical relevance remain poorly understood. This study performs in‐depth integrative analyses of 5,684 gut metagenomes from preterm infants, uncovering distinct features that diverge from term infants. Notably, the gut resistome of preterm infants converges 9 days before necrotizing enterocolitis onset ...
Shuqin Zeng, Hua Wang, Li Zhang, Shiping Li, Yuan Yuan, Mengting Tian, Yi Qu, Junjie Ying, Meicen Zhou, Yong Hu, Jinglan Huang, Rong Zou, Fengyan Zhao, Xiaojuan Su, Qian Liu, Yan He, Jinxing Feng, Weimin Huang, Ying Luo, Zhemin Zhou, Wei Shen, Dezhi Mu, Shaopu Wang   +22 more
wiley   +1 more source

AI-driven analysis of diabetes risk determinants in U.S. adults: Exploring disease prevalence and health factors. [PDF]

PLoS One
Majcherek D, Ciesielski A, Sobczak P.
europepmc   +1 more source