Results 101 to 110 of about 45,443 (285)
Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source
The class B type I scavenger receptor, SR-BI, binds HDL, mediates selective uptake of HDL cholesteryl esters by cultured cells, and its expression is coordinately regulated with steroidogenesis in several endocrine tissues (adrenal, ovary, testes). SR-BI
S Xu +5 more
doaj +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
Alterations of intestinal lipoprotein metabolism in diabetes mellitus and metabolic syndrome [PDF]
Diabetes and metabolic syndrome are associated with abnormal postprandial lipoprotein metabolism, with a significant delay in the clearance of many lipid parameters, including triglycerides and chylomicrons.
ARCA, Marcello
core +1 more source
Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang +9 more
wiley +1 more source
Fernanda A Orsi,1,2 Willem M Lijfering,2,3 Arnoud Van der Laarse,4,5 L Renee Ruhaak,4 Frits R Rosendaal,2 Suzanne C Cannegieter,2–3,6 Christa Cobbaert41Department of Clinical Pathology, School of Medical Sciences, University of ...
Orsi FA +6 more
doaj
With more than 71 million people chronically infected, hepatitis C virus (HCV) is one of the leading causes of liver disease and hepatocellular carcinoma.
Florian Wrensch +16 more
doaj +1 more source
ApoC-III and visceral adipose tissue contribute to paradoxically normal triglyceride levels in insulin-resistant African-American women [PDF]
Background: African-Americans are more insulin-resistant than whites but have lower triglyceride (TG) concentrations. The metabolic basis for this is unknown. Our goal was to determine in a cross-sectional study the effect of insulin resistance, visceral
Courville, Amber B +6 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
LPL hydrolyzes triglycerides in plasma lipoproteins. Due to the complex regulation mechanism, it has been difficult to mimic the physiological conditions under which LPL acts in vitro.
Mart Reimund +3 more
doaj +1 more source

