The Laboratory for Personalized Medicine (LPM) is located in the Center for Biomedical Informatics (CBMI) at Harvard Medical School and was established in 2008 by Peter Tonellato. In 2009, the LPM created a co-lab in the Department of Pathology, Beth Israel Deaconess Medical Center, and in 2010 another LPM site was founded in the School of Public Health, University of Wisconsin, Milwaukee, WI. The goal of the LPM is to personalize medicine by creating preventative health care for individuals based on their specific medical, family, and genetic characteristics. This task involves identifying and testing solutions for integrating new molecular devices, dealing with genetic and proteomic data, and using disease-focused knowledge in point-of-care practice. LPM intends to implement systems that are easily updatable, ensure data integrity, and are minimally disruptive to the current health care workflow.
In collaboration with Amazon Web Services, the LPM developed the use of cloud computing for general biomedical informatics and translational medicine research. This use-case demonstrated the power of cloud computing by developing a simulation software application that creates clinical avatars to test and predict the efficacy of predictive algorithms. Millions of avatars are simulated based on mathematical models and genetic variants to test the accuracy, efficiency, and outcome of genetic tests in the clinical enterprise.
In 2009, the LPM initiated an annual seminar to explore translational science tools, methods and simulations. The seminar includes participants from Massachusetts, Wisconsin and Japan. Projects include next generation sequencing alignment algorithm comparisons, clinical avatars, creation of a personalized encyclopedia of genomic variant information (Clinicalpedia), and multiple gene-disease networks.