The Johns Hopkins Individualized Health Initiative (Hopkins inHealth) has announced eight new projects as awardees of its inaugural Pilot Project Discovery Program, and the Institute for Computational Medicine is proud to be very well-represented among its recipients.

ICM core faculty member Suchi Saria, assistant professor of Computer Science and Health Policy and Management, is partnering with ICM affiliated faculty member Nathan Crone, professor of Neurology.  The goal of their project, Epileptic Seizure Watch, is to use data captured on patients with epilepsy to develop an algorithm that will optimize seizure detection based on patients’ prior seizures and their individual, seizure related physiologic changes.

 ICM core faculty member Michael Miller, professor of biomedical engineering, will work with ICM affiliated faculty member Kenichi Oishi, assistant professor of Radiology and Molecular Radiation Sciences, on a project entitled, Forecast of Future Events for Individualized Dementia Care: Dementia Forecast. The goal of this project is to develop a statistical model that can predict the likelihood a patient with dementia will experience worsening cognition, behavioral problems, and falls.

 And ICM core faculty member Natalia Trayanova, professor of biomedical engineering, is collaborating with ICM affiliated faculty member Katherine Wu, associate professor of Cardiology, on the project, Personalized Risk Stratification for Sudden Cardiac Death Using Cardiac MRI and Virtual Heart Electrophysiologic Studies (PuRSUit-Virtual Heart.) With this research, they hope to develop a new risk stratification approach to better predict sudden cardiac death among patients with non-ischemic cardiomyopathy.

 The Pilot Project Discovery Program is designed to promote discoveries in biomedical and data science intended to improve health decisions and outcomes at more affordable costs. Each of the awarded projects will receive up to $75,000 for a 15-month funding period.

To read the full announcement, click here.