AI Model Developed to Predict Early Death in Trauma Patients... Professors Lee Jae-myung and Baek Seung-min's Team Says It Could Be Used in Emergency Care

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Open Heart

Sex-disaggregated data in hypertrophic cardiomyopathy: a targeted literature review, meta-analysis and primary cohort study

Objective Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy characterised by pathological left ...
RMD Open

Rare variants in genes related to inborn errors of immunity in patients with rheumatoid arthritis and secondary immunodeficiency

Objectives Treatment of rheumatoid arthritis (RA) relies on immunomodulatory drugs that can compromise immunity, inducing secondary immunodeficiency (SID). However, features of SID, such as ...
BMJ Open

ADHD and cardiometabolic risk profile in adults with type 2 diabetes: a longitudinal register-based study

Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...
eLife

Inferring variant-specific effective reproduction numbers from combined case and sequencing data

Integrating case counts with genomic sequences quantifies real-time transmission advantages of viral variants.
BMJ Global Health

Prevalence and determinants of premature or early menopause: a pooled analysis of 716 648 women from 44 low- and middle-income countries

Background Premature (<40 years) or early (40–44 years) menopause is associated with increased risks of cardiovascular ...
Investopedia

Optimizing Supply Chains: From Raw Materials to Consumers

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...