The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
ascopubs.org

Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
ascopubs.org

Machine Learning to Predict Mortality in Older Patients With Cancer: Development and External Validation of the Geriatric Cancer Scoring System Using Two Large French Cohorts

Randomized Comparison of Magnetic Resonance Imaging Versus Transurethral Resection for Staging New Bladder Cancers: Results From the Prospective BladderPath Trial A total of 2,012 and 1,397 patients ...
EurekAlert!

Biomarker discovery for metabolic dysfunction-associated steatotic liver disease utilizing Mendelian randomization, machine learning, and external validation

We identify six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers (e.g., serum total protein) for MASLD across various independent cohorts. Serum total protein ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
EurekAlert!

Integration of machine learning and experimental validation reveals new lipid-lowering drug candidates

In a breakthrough for cardiovascular medicine, researchers have harnessed artificial intelligence to discover unexpected lipid-lowering effects in existing FDA-approved drugs. The study, published in ...