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Building a Diverse and Equitable Health Workforce to Increase Trust in Medical Research and Health Care
To promote health equity within the biomedical research and health-care systems, we must focus o
n having a culturally competent and diverse workforce.
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Accelerating Progress for Chronic Disease through Policymaking and Investments (Invite only)
Over half (six in ten) Americans live with a chronic disease, and four in ten live with at least
two. Obesity, diabetes, hypertension, and hypercholesterolemia are common in US.
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Future of Health Summit Dinner | A Commitment to Accelerating Cures: The Future of Biomedical Innovation
The new year will begin with fresh leadership at several of the nation's top scientific agencies
. Hear from Dr. Bertagnolli and Dr.
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Maximizing the Potential of the New Advanced Research Projects Agency for Health (ARPA-H)
This session will open with a conversation with Representative Anna Eshoo, followed by a panel d
iscussion on ARPA-H.
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Time=Lives and What's Next for Patient Engagement: Policymaking as a Driver of Progress
This session will open with a Time=Lives Talk by Sandra Abrevaya and Brian Wallach, Co-Founders
of I AM ALS, followed by a panel discussion on Policymaking as a Driver of Progress.
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Part 2: Defining Moments in Health: Leading Through Turbulent Times
The past two years have been marked by moments that define a generation—the COVID-19 pandemic, s
upply chain breakdowns, a shift in American political power, unprecedented social movements,
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Future of Health Summit Opening Plenary
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Social Epidemiology: Public Health and Social Movements
For the first time in decades—across race, socioeconomic status, gender, and community—Americans
can expect shorter lifetimes
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Time=Lives and Value-based Payment Models: Are They Working?
This session will open with a Time=Lives Talk by Sandra Abrevaya and Brian Wallach, Co-Founders
of I AM ALS, followed by a panel discussion on Value-based Payment Models.
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Government Affairs Speakers - All Statuses
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Is AI Just What the Doctor-or Patient-Ordered?
Machine learning and artificial intelligence, along with the algorithms that underpin them, hold
great promise to improve health-care decision-making and biomedical innovation.
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