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NVIDIA AI Podcast

How Bristol Myers Squibb Is Accelerating Drug Development With AI - Ep. 264

31 min episode · 2 min read
·
Greg Myers

Episode

31 min

Read time

2 min

Topics

Fundraising & VC, Artificial Intelligence, Psychology & Behavior

AI-Generated Summary

Key Takeaways

  • Predictive Molecule Invention: Bristol Myers Squibb now requires predictive AI model validation before running 100% of small molecule and 50% of large molecule wet lab experiments, resulting in measurably higher success rates in research outcomes.
  • Clinical Trial Acceleration: AI-powered tools generate 80% of informed consent forms automatically and assist with 300+ required clinical trial documents, contributing to a three-year reduction in the typical ten-year drug development timeline.
  • Early Disease Detection: AI analysis of standard twelve-lead ECG readings can detect hypertrophic cardiomyopathy signatures invisible to human physicians, enabling diagnosis years earlier and preventing sudden cardiac death in young athletes and undiagnosed patients.
  • Internal AI Deployment Strategy: Bristol Myers Squibb deployed internal chatbots three months after ChatGPT 3.5 launched, now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini plus 2,500 Microsoft Copilot licenses.

What It Covers

Bristol Myers Squibb's Chief Digital Officer Greg Myers explains how AI accelerates drug discovery and development, reducing clinical trial timelines by three years and enabling predictive molecule invention across their pharmaceutical pipeline.

Key Questions Answered

  • Predictive Molecule Invention: Bristol Myers Squibb now requires predictive AI model validation before running 100% of small molecule and 50% of large molecule wet lab experiments, resulting in measurably higher success rates in research outcomes.
  • Clinical Trial Acceleration: AI-powered tools generate 80% of informed consent forms automatically and assist with 300+ required clinical trial documents, contributing to a three-year reduction in the typical ten-year drug development timeline.
  • Early Disease Detection: AI analysis of standard twelve-lead ECG readings can detect hypertrophic cardiomyopathy signatures invisible to human physicians, enabling diagnosis years earlier and preventing sudden cardiac death in young athletes and undiagnosed patients.
  • Internal AI Deployment Strategy: Bristol Myers Squibb deployed internal chatbots three months after ChatGPT 3.5 launched, now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini plus 2,500 Microsoft Copilot licenses.

Notable Moment

Myers reveals that average lung cancer patients fail on four to five different therapies before finding effective treatment, but AI tumor analysis can predict which patients respond best to specific therapies, potentially saving years of trial-and-error treatment.

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Episode Transcript

Hello, and welcome to the NVIDIA AI podcast. I'm your host, Noah Kravitz. Before we dive in, a quick reminder that the AI podcast now comes your way four times a month. Listen to us wherever you get your podcasts. And if you have a minute to subscribe to the show and even to leave us a review, we'd greatly appreciate it. The intersection of leading edge technology and health and life sciences is one of the most vital areas of research and development happening in the world today. Artificial intelligence is fueling advancements in virtually all areas of health care and medicine, as recent episodes of our show can speak to. Today, we're talking with someone on the forefront of integrating digital technology with groundbreaking science. Greg Myers is executive vice president and chief digital and technology officer at Bristol Myers Squibb, one of the world's foremost biopharmaceutical companies. Greg's here to talk about how Bristol Myers Squibb is using AI to accelerate scientific pursuits and innovation and what the future of technology in the biopharma industry looks like. Greg, welcome, and thank you so much for taking the time to join the AI podcast. Thanks so much for having me. So could you set the stage for us by telling us a bit well, telling us a bit about Bristol Myers Squibb, if you would, for those who might not be aware, and then about your role and how you came into this role as well. Yeah. Of course. So, we at Bristol Myers Squibb, we discover, develop, and deliver innovative new medicines that help patients prevail over serious diseases. Those are typically in areas like oncology, hematology, immunology, cardiovascular disease, and neuroscience. Really, and as a company, we're we're focused on being one of the fastest growing companies in our industry by the end of the decade. And in fact, we're on track to deliver 10 new medicines and 30 new indications by 2030, a lot of which is being accelerated, through re rewiring the enterprise around digital data and AI, which is looking forward to talking about that, today. And then your team specifically, what are you sort of overseeing? What is your team primarily focused on? Yeah. So we have the traditional technology or IT part of the organization. Yep. My team also is responsible for, all the data and analytics throughout the company. So majority of the data sciences team, is within my remit. And we also have a digital health team, which is a really exciting team that is looking at the forefront of changing the way patients are diagnosed, treated, or monitored in key areas that we also tend to have therapies in at the point of care. And so how does a a major company, major pharma company like Bristol Myers Squibb think about, technology's impact on your industry in general. And then maybe as you're talking about that, you could drill down specifically to how AI has changed things in …

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Books, tools, and gear mentioned in this episode

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Tools

  • by OpenAI

    Bristol Myers Squibb deployed internal chatbots three months after ChatGPT 3.5 launched, now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini
  • by Google

    Bristol Myers Squibb deployed internal chatbots three months after ChatGPT 3.5 launched, now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini
  • by Microsoft

    now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini plus 2,500 Microsoft Copilot licenses
  • by Anthropic

    Bristol Myers Squibb deployed internal chatbots three months after ChatGPT 3.5 launched, now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini
  • by OpenAI

    Bristol Myers Squibb deployed internal chatbots three months after ChatGPT 3.5 launched, now providing employees free access to multiple frontier models including GPT-4, Claude, and Gemini

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