Precision medicine and predictive analytics are two of the most touted opportunities in healthcare today because they take individual health factors into account.
Her research interests include computer architecture and microarchitecture, accelerators, hardware-software co-design, energy-efficient computing, and emerging applications related to big data such as database and graph analytics, and healthcare such as genomics analytics for precision medicine.
In the context of the economics of healthcare and the advent of precision medicine, these challenges require careful analytic and data-driven approaches which will be addressed in this course.
The Solutions Lab offers attendees an interactive experience showcasing practical solutions that use information technology to improve population health (data and analytics, consumer engagement, precision medicine) and healthcare administration (quality reporting, regulatory compliance, risk management).
Implementation of a prospective somatic and germ-line WES program for cancer precision medicine in patients with solid tumors requires robust analytic and interpretive approaches.
Her most recent projects have included work with VC, Private Equity, and public company backed organizations in the precision medicine, artificial intelligence, telemedicine, mobile health, specialty pharmacy, and data and analytics space.
Coupled with sophisticated analytics, these patient data provide the foundation for "precision medicine," an exciting new approach to disease prevention and management that will enable doctors to customize and optimize how they treat patients/consumers.
The state precision medicine assets include world class research universities and biotechnology, pharmaceutical, medical device, data analytics and healthcare IT companies.
The growth of precision medicine has increased awareness and refinement of conceptual frameworks, data management systems, and analytic methods for multilevel data.
"We call that precision medicine.
