This webinar discusses a predictive, multiscale framework that can be used to understand the health of an individual at the molecular, cellular, organ, organism and community scales in order to better diagnose, treat, and prevent disease at a highly personalized level.

One of the primary goals of precision medicine is the aggregation and interpretation of deep, longitudinal patient-specific data in the context of the digital universe of information, using advanced predictive analytics to better diagnose and treat patients, even down to tailoring individualized treatments.

The rapid advance of panomic technologies such as next-generation DNA sequencing and medical imaging technologies, as well as the vast array of wearable, implantable, and environmental sensors, all linked to personal smart devices, are transforming the scale, scope, and depth of data we can generate on patients.

In this webinar, Eric Schadt, Founder and CEO of Sema4 and Dean for Precision Medicine at the Icahn School of Medicine at Mount Sinai, discusses a predictive, multiscale framework his team has developed to better understand diseases such as coronary artery disease, inflammatory bowel disease, diabetes, asthma health, Alzheimer’s disease, cancer, and several other disease areas in addition to wellness.

In this webinar, Dr. Schadt discusses how his team is evolving this framework to accelerate the engagement of big data and predictive models by patients, physicians, healthcare professionals, and researchers in ways that transform how the medical community diagnoses, treats, and prevents disease.