Results 121 to 130 of about 98,082 (264)

Targeting ANGPTL3 and IL‐33/ST2 Ameliorates Diabetic Kidney Disease by Reducing Lipotoxicity, Alleviating Inflammation and Inhibiting Fibrosis

Advanced Science, EarlyView.
Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li, Zhonglian Cao, Rongrui Zhou, Xu Cheng, Xiaozhi Hu, Shuwen Xu, Zihan Dou, Ling Du, Dianwen Ju   +8 more
wiley   +1 more source

A survey on data mining techniques used in medicine. [PDF]

J Diabetes Metab Disord, 2021
Birjandi SM, Khasteh SH.
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Early prediction of diabetes by applying data mining techniques: A retrospective cohort study. [PDF]

Medicine (Baltimore), 2022
Al Yousef MZ, Yasky AF, Al Shammari R, Ferwana MS.   +3 more
europepmc   +1 more source

Protein Structuromics Reveals a Loop‐Controlled Half‐Open Active Pocket Conformation Throughout Fe(II)/α‐ketoglutarate‐Dependent Dioxygenase Catalytic Cycle

Advanced Science, EarlyView.
This study reveals a conserved half‐open active pocket in Fe(II)/α‐ketoglutarate‐dependent dioxygenases through protein structuromics, distinguished by structural features comprising highly flexible loop elements. Enhanced sampling simulations‐guided mutagenesis experiments elucidated how this flexible loop regulates pocket open/closed conformations ...
Lunjie Wu, Huan Liu, Songyin Zhao, Lei Qin, Jiarui Li, Jun Wang, Zixuan Dai, Jie Gu, Yan Xu, Feiran Li, Yao Nie   +10 more
wiley   +1 more source

Extracting the Factors Affecting the Survival Rate of Trauma Patients Using Data Mining Techniques on a National Trauma Registry. [PDF]

Arch Acad Emerg Med, 2023
Isfahani MN, Tavakoli N, Bagherian H, Al Sadat Fatemi N, Sattari M.   +4 more
europepmc   +1 more source

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

Modelling Covid-19 infections in Zambia using data mining techniques. [PDF]

Results Eng, 2022
Kalezhi J, Chibuluma M, Chembe C, Chama V, Lungo F, Kunda D.   +5 more
europepmc   +1 more source

Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression

Advanced Science, EarlyView.
The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren, Xiaogang Li, Hao Li, Zenghui Cao, Mengtian Hou, Chunlei Zhao, Nan Lou, Sasa Hu, Yanzhe Li, Qian Ma, Yaoyao Li, Yi Fan, Kunkun Zhao, Kai Zhao, Ding Qiu, Fangping Gong, Zhongfeng Li, Haitao Liu, Xingli Ma, Xingxiang Wang, Dongmei Yin   +20 more
wiley   +1 more source

Effective heart disease prediction system using data mining techniques

International Journal of Nanomedicine, 2018
Poornima Singh,1 Sanjay Singh,2 Gayatri S Pandi-Jain1 1L. J. Institute of Engineering and Technology, Gujarat Technological University, 2Institute of Life Sciences, School of Science and Technology, Ahmedabad University, Ahmedabad, Gujarat, India ...
Singh P, Singh S, Pandi-Jain GS
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