Results 251 to 260 of about 1,112,461 (309)

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

Do no harm: managing nausea and vomiting in GLP-1 based obesity therapies

Frontiers in Endocrinology
Abdulhameed Alhazmi, Abdulhameed Alhazmi, Carel W. le Roux, Carel W. le Roux   +3 more
doaj   +1 more source

Relationships of Multidimensional Factors to Diabetes Complications: A Cross-Sectional, Correlational Study. [PDF]

West J Nurs Res
Heo S, Kang J, Barbé T, Kim J, Bertulfo TF, Troyan P, Streit L, Slocumb RH.   +7 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Japan Diabetes Complications Study: Revisiting one of the first large-scale clinical studies in East Asians with diabetes. [PDF]

J Diabetes Investig
Sone H, Horikawa C, Tanaka-Mizuno S, Kawasaki R, Fujihara K, Moriya T, Araki A, Tanaka S, Akanuma Y.   +8 more
europepmc   +1 more source

Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques

Advanced Intelligent Systems, EarlyView.
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali, Derya Demir, Kutsev B. Ozyoruk, Yasin Almalioglu, Emre C. Kose, Drew F. K. Williamson, Gurdeniz Serin, G. Evren Keles, Banu S. Kumbaraci, Ceren Utku, Uguray P. Hacisalihoglu, Ilknur Turkmen, Figen Ozturk, Kayhan Basak, Yavuz Nuri Ertas, Mehmet Turan   +15 more
wiley   +1 more source

The m⁶A-ncRNAs axis in diabetes complications: novel mechanism and therapeutic potential. [PDF]

Front Endocrinol (Lausanne)
Yu S, Li C, Lu X, Han Z, Li Y, Yuan X, Guo D.   +6 more
europepmc   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

The Impact of Diabetes Complications on the Physical Function of Maintenance Hemodialysis Patients. [PDF]

Cureus
Minata S, Kudou G, Imaoka S.
europepmc   +1 more source

Diabetes Complications and Comorbidities as Risk Factors for MACE in People With Type 2 Diabetes and Their Development Over Time: A Danish Registry-Based Case-Control Study. [PDF]

J Diabetes
Bech AA, Madsen MD, Kvist AV, Vestergaard P, Rasmussen NH.   +4 more
europepmc   +1 more source