Atul Butte
Showing 1–3 of 3 transcripts.
- a16z42 min
a16z Podcast | Breaking Into Bio
Vijay Pandey, Atul Butte, Daphne Kohler
A comprehensive discussion outlines the critical barriers to launching biotech startups, emphasizing the necessity for founders to secure co-founders with complementary domain expertise and navigate complex clinical workflows and regulatory frameworks. The presentation advocates for strategic market entry by targeting mid-tier hospitals for initial reference accounts, selecting investors who expand market potential over mere valuation, and prioritizing hybrid talent pools to bridge the gap between AI and medicine. Ultimately, the event advises entrepreneurs to build trust through rigorous scientific validation, align career risks with personal tolerance, and leverage the U.S. healthcare system's scale while avoiding the pitfalls of superficial solutions.
- Milken Institute21 min
Atul Butte | Driving Public Health: A Trillion Points of Data
Addressing the exponential growth of biomedical data, the presentation details UCSF's initiative to consolidate electronic records from 14.1 million patients into a unified warehouse that shifts disease tracking from code-based to molecular-based systems. This infrastructure enables low-cost computational predictions, such as the rapid repurposing of imipramine for lung cancer, which accelerated a clinical trial from concept to authorization within fifteen months. By creating dynamic maps of patient disease progression, the project aims to redefine accountable care through continuous, population-level monitoring rather than isolated clinical encounters.
- Milken Institute47 min
Big Data, Small Devices: How Technology Is Advancing Public Health
Anna Barker, Helen Burstin, Atul Butte, Eric Friedman, Kyu Rhee
This panel discussion highlighted the explosive growth of global data, noting that internet-connected devices now number 50 billion while genomic sequencing efforts aim to process the health records of 25% of the world's population by 2025. Experts outlined strategic shifts toward predictive, personalized, and preventative care models utilizing IBM Watson and wearable technology to bridge the decade-long gap between research discovery and clinical application. The dialogue concluded by addressing critical challenges regarding data interoperability, digital equity, and the transition from episodic treatment to continuous population-level monitoring through distributed data ecosystems.