Oncology & Cancer

Deep learning model classifies brain tumors with single MRI scan

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study ...

Health

Model to predict drug overdose deaths in US

For two decades, the number of Americans who die each year from drug overdoses has steadily risen, from less than 20,000 in 1999 to more than 80,000 in 2020. By studying patterns of these drug-related fatalities, researchers ...

Medical research

Predictive model identifies patients for genetic testing

Patients who, perhaps unbeknownst to their health care providers, are in need of genetic testing for rare undiagnosed diseases can be identified en masse based on routine information in electronic health records (EHRs), a ...

Cardiology

Predicting blood clots before they happen in pediatric patients

Monroe Carell Jr. Children's Hospital at Vanderbilt has launched a study to determine the impact of a predictive model for identifying pediatric patients at risk for developing blood clots or venous thromboembolisms (VTEs).

Psychology & Psychiatry

Study examines racial inequity in suicide prediction models

Models that can successfully predict suicides in a general population sample can perform poorly in some racial or ethnic groups, according to a study by Kaiser Permanente researchers published April 28 in JAMA Psychiatry.

Obstetrics & gynaecology

Age at the menopause can be assessed using predictive modeling

Natural menopause occurs when the menstrual periods cease due to the naturally decreased ovary function. There is a significant interindividual variation in the age at natural menopause but, on average, women undergo it around ...

Health informatics

'Self-trained' deep learning to improve disease diagnosis

New work by computer scientists at Lawrence Livermore National Laboratory (LLNL) and IBM Research on deep learning models to accurately diagnose diseases from X-ray images with less labeled data won the Best Paper award for ...

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