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E178: Navigating Reliability in Modern Molecular Research with AI

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Manage episode 499871171 series 3557643
Content provided by Dr Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Can AI truly revolutionize molecular biology if it’s built on unreliable data? In this game-changing episode, we speak with Dr. Jonathon O'Brien, founder and CEO of Golgi, about one of the most critical—and often overlooked—issues in biomedical AI: data reliability.

With a background in biostatistics, proteomics, and machine learning, Dr. O’Brien shares how Golgi’s AI-powered computational platform is helping pharma and biotech giants like Johnson & Johnson tackle the reproducibility crisis in mass spectrometry-based proteomics. We explore how his patented platform predicts measurement variability using data features most researchers overlook—and how this unlocks faster, cheaper, and more reliable drug discovery.

What You’ll Learn:

  • Why AI models in biology often fail due to bad training data
  • How Golgi predicts data reliability without replicates
  • Why reproducibility and variance prediction are key to high-throughput drug screening
  • Real-world examples from pharma and stealth biotech clients
  • The cultural and technical barriers to trustworthy AI in life sciences
  • Lessons from AlphaFold and Basecamp Research on reliable ML data use
  • Best practices for applying machine learning in molecular biology
  • How human expertise is still vital in AI-driven biomedical innovation

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

  continue reading

182 episodes

Artwork
iconShare
 
Manage episode 499871171 series 3557643
Content provided by Dr Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Can AI truly revolutionize molecular biology if it’s built on unreliable data? In this game-changing episode, we speak with Dr. Jonathon O'Brien, founder and CEO of Golgi, about one of the most critical—and often overlooked—issues in biomedical AI: data reliability.

With a background in biostatistics, proteomics, and machine learning, Dr. O’Brien shares how Golgi’s AI-powered computational platform is helping pharma and biotech giants like Johnson & Johnson tackle the reproducibility crisis in mass spectrometry-based proteomics. We explore how his patented platform predicts measurement variability using data features most researchers overlook—and how this unlocks faster, cheaper, and more reliable drug discovery.

What You’ll Learn:

  • Why AI models in biology often fail due to bad training data
  • How Golgi predicts data reliability without replicates
  • Why reproducibility and variance prediction are key to high-throughput drug screening
  • Real-world examples from pharma and stealth biotech clients
  • The cultural and technical barriers to trustworthy AI in life sciences
  • Lessons from AlphaFold and Basecamp Research on reliable ML data use
  • Best practices for applying machine learning in molecular biology
  • How human expertise is still vital in AI-driven biomedical innovation

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

  continue reading

182 episodes

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