Bjoern Ludwar’s research poster entitled “Wavelet Based Analysis of Fingerprint Asymmetry to Assess the Risk of Type 2 Diabetes Mellitus” and co-authored by Longwood Biology student Mahelet Mamo, was selected for presentation at the 2016 annual meeting of the Association for Clinical and Translational Science (ACTS) in Washington, DC. The Association for Clinical and Translational Science provides an outstanding platform for enhancing education, research, and public policy related to clinical and translational science. Its members consist of leaders, investigators, and trainees from academic medical centers, government, industry, and philanthropy.
Filed under: Biological & Environmental Sciences | Tagged: Diabetes, Fingerprints, symmetry