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![]() Nightingale Open Science aims to unlock those data, securely and ethically, and make them available for the public good. Today, health data are mostly locked up in small sandboxes, controlled by a handful of private companies or well-resourced researchers. Description: This session will announce the launch of Nightingale Open Science and feature a demonstration of the product. 4:25 - 4:55 Panel 6: Nightingale Open Science platform launch and video demonstration Description: This session will be a live conversation focusing on how funding decisions are made in computational medicine, what funders and other stakeholders can do to increase data sharing and research, and will culminate with an announcement of a new computational medicine funding collaborative.The moderator will facilitate a group conversation about how the panelists approach working on issues like these in their research, as well as challenges and opportunities in applying new data and ML tools to similar issues in medicine.ģ:50 - 4:20 Panel 5: What problems get funded in computational medicine? Description: This panel will begin by introducing three critical medical issues that drive mortality despite years of research: cancer, sudden cardiac death, and maternal mortality.Panelists: Regina Barzilay, Marzyeh Ghassemi, Bin Yu, Emma Pierson. 2:15 - 3:00 Panel 4: Data opportunities: unsolved medical problems and where new data can help Description: The focus of this session will be twofold, leveraging the panelists’ experience: 1) the importance of well-structured data-science programs within academia as a way to ensure a well-trained, robust pipeline of up-and-coming researchers, and provide the data infrastructure necessary to support ground breaking research and 2) examine what can be done at the federal level to encourage better data sharing and research.Panelists: Aneesh Chopra, Jennifer Chayes, Kate Baicker. ![]() 1:15 - 2:00 Panel 3: Data science for healthcare in academia and government
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