Authors:
C. Combs
;
Lubna Pinky
;
Chathurani Ranathunge
;
Sagar Patel
;
Taryn Cuper
;
Robert Armstrong
and
Robert Alpino
Affiliation:
School of Health Professions, Eastern Virginia Medical School, Norfolk, VA 23507, U.S.A.
Keyword(s):
Digital Patient, Systems Biology, Physics-Based Modeling, Artificial Intelligence, Bigdata, Bio-Informatics, Pharmaceutical Research, Virtual Clinical Trials, Personalized Medicine.
Abstract:
The Digital Patient is an analytic platform that has the potential to transform personal and public healthcare, pharmaceutical research, medical device development, and patient and professional education. It is the ultimate big data project in healthcare; however, its power will derive not from the volume of data, but from the successful and efficient integration of disparate sources of data into a validated and reliable computational model of combined biological processes, social context and treatment efficacy. That integration, successively, is largely dependent on the evolving theoretical approaches known as systems biology and physics-based modeling that lead to the successful meshing of multi-scale models.