Results 131 to 140 of about 32,321 (308)
Systematic review of birth cohort studies in Africa [PDF]
In sub-Saharan Africa, unacceptably high rates of mortality amongst women and children continue to persist. The emergence of research employing new genomic technologies is advancing knowledge on cause of disease. This review aims to identify birth cohort
Campbell, Alasdair, Rudan, Igor
core +1 more source
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan +13 more
wiley +1 more source
This study reveals a citrate–ACLY–H3K27ac metabolic–epigenetic axis driving inflammatory gene activation and kidney fibrosis, highlighting ACLY inhibition as a potential therapeutic strategy for chronic kidney disease (CKD). ABSTRACT The mechanisms by which metabolic stress drives epigenetic dysregulation and fibrosis in chronic kidney disease (CKD ...
Chunxiu Du +15 more
wiley +1 more source
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido +10 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino +9 more
wiley +1 more source
Global Biobank Week: Toward Harmonization in Biobanking [PDF]
Henderson, Marianne K. +6 more
openaire +3 more sources
A Novel Plasma Heme Assay Reveals Disease Severity in Beta‐Thalassemia and Sickle Cell Anemia
ABSTRACT Anemia results from imbalanced hemoglobin or red blood cell production and clearance. Hemolytic anemia, caused by premature red blood cell removal, can be intravascular (in blood) or extravascular (erythrophagocytosis). Hemolysis is common in Sickle Cell Disease (SCD) and Beta‐Thalassemia anemia (β‐thalassemia), the most prevalent inherited ...
Laurent Kiger +14 more
wiley +1 more source

