A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...

Background Cardiogenic shock (CS) complicating acute myocardial infarction (AMI) carries high mortality. Early ...

Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...