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Machine Learning
Clinical trial pipeline · Data from ClinicalTrials.gov
See which Machine Learning trials you may qualify forClinical trial pipeline · Data from ClinicalTrials.gov
See which Machine Learning trials you may qualify forPostoperative pulmonary complications (POPC) are common after general anaesthesia and are a major cause of increased morbidity and mortality in surgical patient…
This is a multi-center, cross-sectional, observational study aimed at developing biological age calculators specifically for the Russian population investigatin…
The study is a prospective, non-randomized feasibility study evaluating blood sample and machine learning-based risk stratification for lung cancer in patients…
This study is designed to test two new risk scores - one designed to predict a patient's four-hour risk of developing sepsis and one designed to predict a patie…
The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total da…
This research will leverage machine learning (ML) and causal inference techniques applied to real-world data (RWD) to generate evidence that personalizes treatm…
Mild Cognitive Impairment (MCI) is frequently underdiagnosed due to its subtle clinical presentation. This study evaluates the diagnostic performance of AcceXib…
This study evaluates whether adding machine learning-based risk information to electronic health record (EHR) lab result messages helps older adults better unde…
This study aims to investigate the predictive value of lower limb muscle strength and explosive power on exercise-induced prefrontal hemodynamic responses. Usin…