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Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. Since the advent of deeplearning in the 2000s, AI applications in healthcare have expanded. Data When it comes to AI, it always comes down to input data. AI drug discovery is exploding.
Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed datasilos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.
With several years of experience harnessing deeplearning for drug discovery and high-definition image analysis, Paola has channeled her expertise into tackling one of medicine’s greatest challenges: Alzheimer’s disease. Dr. Reid also teaches Data Science at the University of California at Berkeley. She earned her Ph.D.
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