Personalized Medicine

The Genomics and Personalized Medicine Act of 2010 (GPMA) defines personalized medicine, in its limited scope, as

“Any clinical practice model that emphasizes the systematic use of preventive, diagnostic, and therapeutic interventions that use genome and family history information to improve health outcomes.”

From a healthcare perspective, it is using a person’s genetic, cellular and molecular information to identify a persons’ susceptibility to a disease, to provide early diagnosis of disease, and to identify which drug will be the most effective with the least amount of side effects to treat the disease. Achieving these goals requires effective collaboration among researchers from multidisciplinary fields such as biology, chemistry, information technology, computer science, and engineering.

A. Identifying Patient Segments Who Respond to a Drug

This is a paradigm of how identifying the “right-drug-for-the-right-patient” would look like in treating a devastating inflammatory disease like Rheumatoid Arthritis.

B. Managing health in diabetics through real-time monitoring

This is a paradigm where real-time monitoring of biomarker levels in diabetics using technology to maintain a healthy lifestyle and prevent chronic illness.