(WASHINGTON—March 27, 2025) — A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying ...

Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers your risk of disease, improves your mood, and boosts energy levels. But ...

Ava Zahedi looks back on how she used machine learning in MSR and how those experiences prepared her for her current work as a robotics and automation software engineer at Kasalis. Recent advances in ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...

Liqian Ma turned to MSAI to understand machine learning's potential. Now he's applying lessons learned in the program to his work as a machine learning engineer at Robinhood. Liqian Ma (MSAI ‘22) ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

A new undergraduate certificate program in Statistics and Machine Learning was approved by the University at a faculty meeting last week. According to the 2013-14 Undergraduate Announcement, students ...

A team led by researchers at UT Southwestern Medical Center has developed deep learning models to identify a simple set of rules that govern the activity of promoters—regions of DNA that initiate the ...

Over the last several decades urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods. The ...