Enlaye, a holistic artificial intelligence-enabled construction risk platform, has raised $5 million to expand its predictive ...
A new research published in the Journal of the American Medical Association revealed that a machine learning model which ...
Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...
Effective risk stratification in cancer survivorship requires handling longitudinal data characterized by multimodal inputs, irregular follow-up, and recurrent clinical events. This study evaluated ...
Carriers are adopting AI to improve underwriting, pricing and risk selection, but most models still rely on static data ...
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