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JHU - Institute for Computational Medicine

The Institute for Computational Medicine (ICM) uses powerful computational tools to transform the practice of medicine. Learn more »

Septic Shock Starts Earlier Than Previously Understood

Raimond Winslow and Ran Liu find that patients can be categorized based on risk, develop early monitoring systems to detect early stages of septic shock.

Sri Sarma and Raimond Winslow Earn NSF RAPID Award

Data-driven models ensure that COVID-19 patients in intensive care units receive optimal ventilator therapy.

Enhancing Education: ICM Faculty Embrace Technology in Fall 2020

With many classes in the Fall 2020 semester shifting to a mixed modality, we’re introducing new tools and technology to provide an interactive, intuitive teaching and learning environment and enhance Johns Hopkins Engineering’s educational experience.

Rachel Karchin Receives AACR Team Science Award

The award recognizes an outstanding interdisciplinary team of researchers for advancing our fundamental understanding of cancer.

Natalia Trayanova Uses Machine Learning to Predict Heart Damage in Covid-19 Patients

Yearlong project will collect heart data from COVID-19 patients to create a model that predicts risk of adverse cardiac events such as heart attacks or heart failure.

Rajat Mittal explores the fluid dynamics of COVID-19

Using computational simulations to explore air-flow and droplet dispersion to advance the understanding of protections offered by masks against COVID-19.
Septic Shock Starts Earlier Than Previously Understood Sri Sarma and Raimond Winslow Earn NSF RAPID Award Enhancing Education: ICM Faculty Embrace Technology in Fall 2020 Rachel Karchin Receives AACR Team Science Award Natalia Trayanova Uses Machine Learning to Predict Heart Damage in Covid-19 Patients Rajat Mittal explores the fluid dynamics of COVID-19

Upcoming Seminars

The ICM Distinguished Seminar Series will resume on Tuesday, September 1st, 2020.

JHU - Institute for Computational Medicine