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 ...

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 ...

Surgery

3-D model lends hope for cloacal malformation

In so-called cloacal malformation (anal atresia), children are born without a rectal orifice or anus, or one that is malformed. This condition affects one in every 5,000 children. The congenital malformation can be corrected ...

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