Results 161 to 170 of about 547,277 (291)

Amyloid-beta-targeting monoclonal antibodies in early Alzheimer's disease: a cochrane review summary and appraisal for the neurological community. [PDF]

Neurol Sci
Santos DH, da Silva AMP.
europepmc   +1 more source

Temporal Trajectories of the Tau Aggregate Interactome Reveal Stage‐Specific Vulnerabilities in Alzheimer's Disease

Advanced Science, EarlyView.
Tau populations with different aggregation states associate with distinct sets of proteins in the Alzheimer's disease brain. Proteomic discovery combined with single‐molecule analysis in neurons reveals dynamic associations involving proteostasis, metabolism and RNA biology.
Dorothea Böken, Paula Beltran Lobo, Yunzhao Wu, Lyla A. Rowe, Emre Fertan, Cara L. Croft, Maria Jimenez‐Sanchez, Dezerae Cox, David Klenerman   +8 more
wiley   +1 more source

Diagnostic discordance in amyloidosis: lessons from proteomic amyloid typing. [PDF]

Clin Kidney J
da Silva ML, Pais T, Boavida J, Branco C, Pinheiro P, Justino G, Lopes JA, Rodrigues N.   +7 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Quantifying the Diamagnetic and Paramagnetic Components of Beta-Amyloid Plaques Using Decomposed Quantitative Susceptibility Mapping in Mouse Models of Alzheimer's Disease. [PDF]

NMR Biomed
Liu J, Chen J, Wyatt-Johnson SK, Chen J, Liu Z, Wu H, Feng L, Brutkiewicz RR, Wang N.   +8 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Cardiac Amyloid

Journal of the American College of Cardiology, 2008
Baker, Marc L., Fong, Michael W.
openaire   +2 more sources

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

The long road to recognition: a historical review of amyloidosis from early pathology to disease-modifying therapy. [PDF]

Heart Fail Rev
Halverson LN, Sperry BW.
europepmc   +1 more source

A Multistrategy AI‐Assisted Consensus Screening Pipeline for Discovery of Candidate p53 Monomer Binders

Advanced Intelligent Discovery, EarlyView.
An ultra‐fast small‐sample AI consensus pipeline combines co‐folding and docking to target structure‐lacking p53 monomers. Its optimal mini‐protein binder shows robust interfacial affinity and promising druggability, supplying unprecedented antitumor p53 templates.
Ningyao Li, Xueyi Liu, Qiuyue Li, Chengfeng Yue, Xin Li, Yugang Huang, Xin Deng, Junfei Zhang, Xue Liang, Guodong Ye   +9 more
wiley   +1 more source