Cornell Research Group Explores Potential of Machine Learning in Medicine

Medicine and artificial intelligence are ever-evolving fields at the forefront of scientific discovery. A new Cornell research group — Machine Learning in Medicine — aims to coalesce the two, with the goal of improving methods for disease detection and diagnosis. This endeavor is a collaboration between faculty at Cornell Tech and Weill Cornell Medicine, bringing together “researchers with common interests and complementary expertise.” MLIM’s work is primarily an interdisciplinary dialogue, bridging campuses and research fields. 

“The idea was to link people with a machine learning background in Ithaca to [people working with] clinical data and hypotheses at Weill,” said Prof. Amy Kuceyeski, mathematics and radiology, one of the organizing members of the group. While Kuceyeski’s background is in mathematics, she started learning methods for modeling biological systems as a postdoctoral researcher at Weill. Seeing this as an area for innovation, Kuceyeski helped establish MLIM in 2018.

Targeting Ticks: Cornell-Housed Company Designs New Lyme Disease Test

Dr. Joel Tabb and team at Ionica Sciences at Weill Cornell has developed a new and improved diagnostic test for Lyme disease. Unlike the current standard tests, that focus on the body’s immune response, Tabb’s test focuses on the disease causing bacteria itself and should be on the market by 2020.

How Weill Cornell Medicine Plans to Tackle Diversity With New $2.7 Million Dollar Grant

Weill Cornell Medicine plans to use $2.7 million in funding to address the shortage of underrepresented minorities in the healthcare professions. According to the Association of American Medical Colleges, 1,410 African-American men applied to medical schools in 1978. Forty years later, that number has dropped to 1,337. Earlier this summer, Weill received a grant from the Health Resources and Services Administration in order to establish a Diversity Center of Excellence. The Center of Excellence, will function under the Cornell Center of Health Equity, which is a research initiative that analyzes health disparities and solutions to various stigmatized conditions.