WATCH NOW: Johns Hopkins inHealth: Big Data, Safely Stored
Newswise — Johns Hopkins inHealth, Johns Hopkins Medicine’s precision medicine effort to tailor health care to the needs of individual patients, is convening nearly two dozen experts from across the nation for a one-day research symposium that will explore ways to improve patient care through precision medicine approaches.
With more than 1,000 participants expected to attend this event, Johns Hopkins inHealth will also announce the launch of their new data analytics tool, Precision Medicine Analytics Platform (PMAP). PMAP is a secure, cloud-based storage location for sensitive patient information and knowledge about various diseases from across the Johns Hopkins Health System. The platform contains the most sophisticated tools to help investigators look for patterns in data that can be used to better predict and treat diseases.
What:
Where: |
Thursday, May 30, 2019 7:00 a.m.–5:30 p.m. Turner Auditorium – Johns Hopkins East Baltimore Campus 720 Rutland Avenue Baltimore, MD 21205 Media parking is available at: 900 North Washington Street Baltimore, MD 21205 |
Highlighted Speakers:
- Dwight Raum, vice president and chief technology officer for The Johns Hopkins University and the Johns Hopkins Health System. Raum will talk about how data analytics is poised to revolutionize precision medicine. He will unveil PMAP, the institution’s new precision medicine analytics platform for researchers and data scientists.
- Anthony Philippakis, M.D., Ph.D., chief data officer of the Broad Institute of MIT and Harvard, will discuss data scientists’ role in precision medicine.
- Nilanjan Chatterjee, Ph.D., Bloomberg Distinguished Professor of Biostatistics and Medicine at the Johns Hopkins Bloomberg School of Public Health and professor of oncology at Johns Hopkins Kimmel Cancer Center, will present on risk prediction in cancer prevention. Chatterjee will share details about his team’s research involving polygenic risk scores built from modern genome-wide association studies, used to classify patient population according to risk of various cancers. He will show how such risk information may be used to make more individually tailored screening or other types of intervention recommendations (e.g., screening with mammogram for breast cancer) as examples of “precision prevention.”
- Martin Pomper, M.D., Ph.D., professor of radiology and radiologic science at the Johns Hopkins University School of Medicine, will present on the use of precision imaging in diagnoses and treatment. Pomper will discuss how radiopharmaceutical imaging contributes to precision medicine using examples from oncology and central nervous system disorders.
- Ami Shah, M.D., associate professor of medicine at the Johns Hopkins University School of Medicine and director of clinical and translational research at the Johns Hopkins Scleroderma Center. Shah will discuss the practical importance of subgroups of patients in understanding treatment and care for those with scleroderma, a group of diseases that cause hardening and tightening of tissue, including blood vessels and internal organs.
- Ellen Mowry, M.D., associate professor of neurology at the Johns Hopkins University School of Medicine, will discuss using deep phenotyping to identify patient subgroups and tailored treatments.
- Simon Kos, M.D., chief medical officer of Microsoft Healthcare, will talk about reinventing our health system for the digital age. Kos will talk about the power of machine learning to support primary care for patients, accelerating diagnosis times, preventing the sick from getting sicker and more.
- Col. Clesson Turner, M.D., director of cancer genetics at Walter Reed National Military Medical Center, and Maj. Jameson Voss, M.D., chief of precision medicine at the U.S. Air Force Medical Service, will talk about the U.S. military and precision medicine.
To interview one of the Johns Hopkins experts or to attend, please contact [email protected].