Big Data vs. Big Disease: How Algorithms Can Stop Pandemics | Wendy Taylor

Big Data vs. Big Disease: How Algorithms Can Stop Pandemics | Wendy Taylor

Publication date: Jul 17, 2019

We can leverage the power of this new information age to transform how we detect, respond to and even predict disease outbreaks. But we need imagination and aligned action. Learn more about how you can join the movement at https://www.platformi.io/.

Wendy Taylor has worked for the last two decades catalyzing innovations to tackle some of the world’s toughest global health challenges and utilizing market-based solutions to scale for impact. She founded and built the Center for Innovation and Impact at the US Agency for International Development (USAID) and Bio Ventures for Global Health (BVGH). Working across a wide range of health conditions, she has launched multiple Grand Challenges, catalyzing $140 million in R&D investments; spearheaded innovative finance deals; developed and shaped market incentives; and created multiple public private partnerships. Under her Rockefeller Foundation Fellowship, she is exploring how to advance opportunities in artificial intelligence, digital health and data technologies to transform global health, including applying advanced outbreak analytics to pandemic threats to enable effective outbreak prediction, earlier detection and precision response.

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Concepts Keywords
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Semantics

Type Source Name
gene UNIPROT MAP6
gene UNIPROT IMPACT
disease MESH Development
disease MESH multiple
drug DRUGBANK Coenzyme M

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