Ph.D., Chief Scientist Officer, N-of-One
As an early member of the N-of-One team, Dr. Elkin has led the interpretation of thousands of patient cases, establishing a rigorous process for the analysis of scientific and clinical evidence. For the past nine years, Dr. Elkin has taken a lead role in the development of the N-of-One clinical interpretation methodology to support clinicians in identifying therapeutic strategies specific to each patient. Prior to joining N-of-One, Dr. Elkin completed her postdoctoral fellowship at the Massachusetts Institute of Technology’s Center for Cancer Research, where she earned a fellowship from the Leukemia and Lymphoma Society. Dr. Elkin earned her doctorate in Biological and Biomedical Sciences from Harvard Medical School and an A.B. in Biology and Music from Amherst College, graduating Phi Beta Kappa and summa cum laude, with High Distinction in Biology.
Session Abstract – PMWC 2018 Silicon Valley
Session Synopsis: The field of AI and machine learning is undergoing explosive development and growth, yet the timing of impact in the area of health care and health management as a key element in the clinical care is still uncertain. How AI will influence our approaches to the management of complex diseases such as cancer, what elements of technologies will come into play, and how this be impacted in a regulated setting remains to be seen. Clearly, we will see many rewards with AI in the clinic, but we first must anticipate the hurdles along to way and devise solutions to overcome them.