RHINO: An Integrative Multi‐Omics Framework Linking Circadian Physiology to Precision Medicine
RHINO (RHythmic Interacting Network for multi‐Omics) is an integrative framework that maps circadian regulation across diverse genetic and disease contexts and prioritizes druggable circadian targets. Released as an AI‐powered interactive web portal, RHINO unifies genetic, regulatory, disease, and drug–target information, enabling context‐specific ...
Ying Chen +12 more
wiley +1 more source
COPD in Africa in the Post-COVID Era: A GBD 2023 Analysis of Trends, Demographic Drivers and Health-System Performance. [PDF]
Shi B, Liu J, Zhou F, Han B, Wang Y.
europepmc +1 more source
Population‐scale EDC–hormone association mapping among 4255 participants across demographic subgroups identifies phthalate metabolites as the most consistent signals associated with lower testosterone‐related markers in males. Integrative mechanistic validation prioritizes MCPP as a key phthalate metabolite linked to CYP17A1‐centered disruption of ...
Yanling Chen +14 more
wiley +1 more source
From Signal to Systems Change: The Convergence of Epidemiology and Implementation Science in Precision Cardiovascular Medicine. [PDF]
Farmer N +3 more
europepmc +1 more source
A decade of change: evolving epidemiology of invasive pulmonary mold infections in hematologic malignancy patients from a longitudinal infection control surveillance program. [PDF]
Handley G +6 more
europepmc +1 more source
Cannabis Use Disorder in the Era of Legalization: Implications for Addiction Treatment Systems. [PDF]
Bahji A.
europepmc +1 more source
Ecologic Investigative Strategies to Determine Human Plague Exposure Sites, United States, 1991-2018. [PDF]
Eisen RJ, Osikowicz LM, Foster E.
europepmc +1 more source
[Epidemiology as a science and epidemiologic methods of knowledge].
K M, Siniak, O S, Davidenko
openaire +1 more source
National Mortality Patterns of Cancer Cachexia in Gastrointestinal Malignancies in the United States: A Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Analysis (2018-2023). [PDF]
Alali M, Alkhaleel Alomar M, Alyounes M.
europepmc +1 more source

