(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 ...

Gamalon is a Cambridge, MA-based startup that has received $7.7 million from DARPA to create an advanced machine learning and artificial intelligence platform that the company says is more time and ...

Alzheimer's Disease (AD) is a complex neurodegenerative illness with genetic and environmental origins. Females experience faster cognitive decline and cerebral atrophy than males, while males have ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? The Drexel School of Computer and Information Sciences' Master of Science in Artificial Intelligence and Machine ...

If you've ever been admitted to hospital or visited an emergency department, you've likely had an electrocardiogram, or ECG, a standard test involving tiny electrodes taped to your chest that checks ...

Researchers at the University of Alberta are using a form of artificial intelligence to help doctors better predict which patients are at risk of adverse outcomes from opioid prescriptions. In newly ...

Machine learning is now helping researchers analyze the makeup of unfamiliar cells, which could lead to more personalized medicine in the treatment of cancer and other serious diseases. Researchers at ...

Drexel's College of Computing & Informatics' Post-Baccalaureate/Graduate Certificate in Machine Learning for Data Science provides students with knowledge of advanced approaches to data analysis.

Kate Yee’s summer internship with AbbVie was the next step in a transition to a career in healthcare analytics. Kate Yee (MLDS ‘24) wants a future in healthcare analytics. Their summer internship was ...

Machine learning, which allows computers to copy how humans learn and adapt, is nothing new. The term was first coined back in 1959 by computer scientist Arthur Samuel, who created the first machine ...

Let's start with a common problem that people have, especially when they are just starting out with machine learning. It has to do with running the same program multiple times, and getting different ...

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.