Results 181 to 190 of about 34,845 (214)

AI-Driven Patient Screening for Clinical Trials in Pancreatic Cancer: The PANCR-AI Pilot Retrospective Comparative Study.

JMIR Cancer
Claessens A, Simon A, Manchart A, Desmonts L, Leguay C, Faivre JC, Cambier S, Salleron J, Lambert A.   +8 more
europepmc   +1 more source

CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning. [PDF]

PLoS Comput Biol
Liu Y, Xia Y, Yan H, Shen LC, Zhu Y, Qiang JP, Wei G.   +6 more
europepmc   +1 more source

Circulating Rhythmic Metabolites and Causal Risk of Type 2 Diabetes in Adults in the Canadian Longitudinal Study on Aging

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Circadian regulation of metabolism is an important factor in metabolic health, yet the role of rhythmic metabolites in Type 2 diabetes development remains poorly understood. This study investigated associations between circulating rhythmic metabolites and incident Type 2 diabetes risk and evaluated causal relationships using two‐sample ...
Divya Joshi, Talha Rafiq, Marie Pigeyre, Renee de Mutsert, Femke Rutters, David J.T. Campbell, Jean‐Pierre Despres, Andre C. Carpentier, Joris Hoeks, Patrick Schrauwen, Parminder Raina   +10 more
wiley   +1 more source

Type 5 diabetes mellitus: redefining pancreatogenic diabetes through molecular, imaging, and AI-driven evidence. [PDF]

Front Endocrinol (Lausanne)
Rangraze IR, El-Tanani M, Wali AF, Babiker R, Rabbani SA, Matalka II, Satyam SM, Avagimyan A, Hoffmann K, Ilias I, Ispas S, Viviana M, Paczkowska A, Rizzo M.   +13 more
europepmc   +1 more source

Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are limited by patient discomfort and infection risks. In recent years, electrocardiogram (ECG), a conventional tool for cardiovascular assessment, has gained attention as a prospective method for non‐invasive blood glucose monitoring.
Qi Zeng, Jiaying Ni, Ziyi Zhang, Jinghao Cai, Jingyi Lu, Jian Zhou   +5 more
wiley   +1 more source

Prospects for fistula technologies in the study of digestion and metabolism in birds. [PDF]

Front Physiol
Vertiprakhov VG, Zaitsev SY.
europepmc   +1 more source

Artificial Intelligence in Type 1 Diabetes Management: A Scoping Review of Randomised Controlled Trials

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Artificial intelligence is emerging in healthcare systems. In type 1 diabetes, AI‐enabled tools are increasingly used to support nutrition assessment and insulin decision‐making, yet their clinical utility and safety remain unclear. Methods The study aims to identify and map the evidence on the clinical utility of AI‐based diabetes ...
Yucen Wu, Jun Pang, Shaoyong Xu, Lalantha Leelarathna, Aaron M. Lett   +4 more
wiley   +1 more source

Artificial Pancreas: The First 20 Years. [PDF]

J Diabetes Sci Technol
Doyle FJ, Kovatchev BP.
europepmc   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas Misdiagnosed as Ovarian Torsion in the Second Trimester of Pregnancy. [PDF]

Cureus
Alanesi SF, Bahre H, Rahim S, Abdullah F, Rasheed MM.   +4 more
europepmc   +1 more source

Some aspects of trypsin's involvement in the regulation of physiological functions. [PDF]

Front Mol Biosci
Kuzmina IV, Tolpygo SM, Vertiprakhov VG.
europepmc   +1 more source