Results 251 to 260 of about 12,340,531 (359)
Artificial intelligence in precision medicine: transforming disease subtyping, medical imaging, and pharmacogenomics. [PDF]
Rodriguez-Martinez A +3 more
europepmc +1 more source
Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024
The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior +5 more
wiley +1 more source
Quantifying and Contextualizing Radiation Doses in Common Pediatric Medical Imaging Examinations. [PDF]
Stewart C +17 more
europepmc +1 more source
Here, we introduced an intermittent electrical stimulation protocol mimicking the episodic nature of real‐life exercise in vitro by alternating low‐ and high‐frequency stimulation. In comparison with widely used continuous stimulation, it enhanced the rate of glucose and fatty acid oxidation, but not the myokine release.
Klára Gabrišová +11 more
wiley +1 more source
Berberine–cinnamic acid co‐crystal (BBR‐CA) inhibits the phosphorylation of the phosphatidylinositol 3‐kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) pathway, suppressing the transfer of pre‐sterol regulatory element‐binding proteins‐1 (SREBP‐1) from the endoplasmic reticulum to the nucleus. This results in a decrease in the expression level of
Wenheng Gao +7 more
wiley +1 more source
Combining multimodal medical imaging and artificial intelligence for the early diagnosis of pancreatic cancer. [PDF]
Yu X +5 more
europepmc +1 more source
This study optimizes a two‐step induction system to generate PGCLCs from chicken ESCs. The induced cells express germline markers and migrate to gonads in ovo, offering a novel approach for avian genetic resource conservation. Primordial germ cells (PGCs) are the progenitor cells of sperm and eggs.
Zeyu Li +10 more
wiley +1 more source
Comparative analysis of supervised and self-supervised learning with small and imbalanced medical imaging datasets. [PDF]
Espis A, Marzi C, Diciotti S.
europepmc +1 more source

