For years, disease diagnosis and treatment have focused on a few biomarkers, overlooking thousands of vital biological signals. Despite biotech advances, most therapies are still based on limited data, missing countless breakthroughs.

Multiomics changes that. By analyzing tens of thousands of proteins, metabolites, and lipids, it reveals hidden insights, paving the way for smarter, faster, and more effective medical discoveries.

In this must-listen episode, David Brühlmann welcomes Mo Jain, founder and CSO of Sapient, a pioneering force in bringing multiomic platforms out of academia and into the heart of drug development. A physician-scientist by training and a visionary entrepreneur by choice, Mo’s journey spans decades at the cutting edge of analytical technologies, culminating in the creation of ultra-high-throughput systems that analyze up to 20,000 biomarkers in a single run for real-world impact.

Here are three reasons why this episode needs to be on your playlist:

• Multiomics at Scale: Mo shares how his team at Sapient turbocharged mass spectrometry, enabling simultaneous measurement of thousands of molecules, transforming routine diagnostics and making previously unimaginable insights accessible to scientists everywhere.
• Turning Data into Action: Generating vast data is only half the battle. Mo explains how Sapient developed advanced biocomputational teams and frameworks to extract actionable answers, guiding drug developers to faster, smarter decisions and helping avoid the pitfalls that cripple so many omics projects.
• The Future Is Personalized and Sooner Than You Think: From dramatically earlier disease detection to truly personalized therapies, Mo paints an optimistic picture of a coming era where AI, multiomics, and new therapeutic modalities rapidly accelerate both discovery and delivery, reshaping how biotech companies tackle even the toughest diseases.

Ready to break out of the 20-biomarker rut and see what 20,000 data points can reveal? Tune in to discover how you can harness multiomics in your own research and hear Mo’s advice for scientists and entrepreneurs venturing beyond the bench.

Connect with Mo Jain:

LinkedIn: www.linkedin.com/in/mo-jain-md-phd-373895ba

Website: www.sapient.bio

Company LinkedIn Page: https://www.linkedin.com/company/sapientbio

Next step:

Book a free consultation to help you get started on any questions you may have about bioprocessing analytics: https://bruehlmann-consulting.com/call

Develop bioprocessing technologies better, faster, at a fraction of the cost with our 1:1 Strategy Call: The quickest and easiest way to excel biotech technology development. Book your call at https://stan.store/SmartBiotech

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What if the secret to truly personalized precision medicine lies not in your genetic code, but in your zip code?

For years, biotech has focused on genomics to explain disease and drug response, but DNA only accounts for a fraction of the story. The real breakthrough? Multi-omics: the large-scale analysis of proteins, metabolites, and lipids, powered by advanced mass spectrometry and AI, offering a fuller picture of human health.

In this episode, David Brühlmann meets Mo Jain, founder and CSO of Sapient, a leader in multi-omics analytics. With over two decades of experience across physiology, biomedicine, and computational biology, Mo has been at the forefront of developing scalable multi-omics technologies that are changing the way we predict, diagnose, and treat disease. From leading an academic lab to building a pioneering biotech company, Mo’s journey reflects a passion for uncovering the hidden 80–90% of disease risk that lies beyond our genes.

Here are three reasons you’ll want to listen to this episode:

• Your Environment Matters More Than Your Genes: Mo explains why your zip code is a stronger predictor of your health than your genetic code, challenging the industry’s long-held beliefs and opening new avenues for disease prevention and risk assessment.
• Multi-omics Disrupts Drug Development: Discover how integrating thousands of biological data points can revolutionize drug discovery by identifying novel targets, better predicting drug response, and accelerating therapeutic breakthroughs that were previously out of reach.
• Big Data Finally Becomes Actionable: Thanks to rapid advances in mass spectrometry and computational power, scientists can now make sense of overwhelming volumes of multi-omic data, turning what was once information overload into actionable insights for diagnostics and drug development.

Ready to think beyond your genes? The biotech revolution is here, and it starts in your neighborhood.

Connect with Mo Jain:

LinkedIn: www.linkedin.com/in/mo-jain-md-phd-373895ba

Website: www.sapient.bio

Company LinkedIn Page: https://www.linkedin.com/company/sapientbio

Next step:

Book a free consultation to help you get started on any questions you may have about bioprocessing analytics: https://bruehlmann-consulting.com/call

Develop bioprocessing technologies better, faster, at a fraction of the cost with our 1:1 Strategy Call: The quickest and easiest way to excel biotech technology development. Book your call at https://stan.store/SmartBiotech

Support the show

The promise of generative AI in pharma and biotech is huge, but it's also fraught with complexity, especially when it comes to integrating these systems into highly regulated environments. From monitoring evolving guidelines to balancing operational efficiency and data integrity, the journey from hype to real-world impact is filled with both opportunity and skepticism.

In this episode, David Brühlmann sits down with Abhijeet Satwekar, Innovation Manager at Merck Healthcare’s Global Analytical Development. Abhijeet has spent years on the front lines of digital transformation in the biotech sector, and his current mission: implementing generative AI for regulatory guideline monitoring, without giving the quality team a collective heart attack. He offers a no-nonsense roadmap for biotech leaders looking to streamline compliance, harness AI potential, and future-proof their operations.

Here are three reasons you should hit play on this episode:

• From Proof of Concept to Real-World Implementation: Discover how Abhijeet’s team moved beyond early excitement to tackle regulatory, IT, and data privacy requirements, carving a safe and compliant path for bringing generative AI tools into GxP and GMP-adjacent workflows.
• Human-in-the-Loop Isn’t Optional: Learn why user training, prompt engineering, and close collaboration between scientists and AI are essential for extracting meaningful (and accurate) insights, especially in environments where routine and regulation reign supreme.
• ROI and Regulation - The Balancing Act: Hear candid perspectives on measuring the return on investment for new digital tools, addressing skeptics closer to manufacturing, and why the real game-changer might just be a community-driven, industry-wide approach to regulatory acceptance.

Wondering how to unlock GenAI’s full potential - or just avoid the common pitfalls? Dive into this episode for practical strategies, cautionary tales, and actionable insights from someone who’s actually navigated the compliance minefield.

Bring AI into your pipeline with confidence, clarity, and compliance.

Connect with Abhijeet Satwekar:

LinkedIn: https://www.linkedin.com/in/abhijeetsatwekar

Next step:

Book a free consultation to help you get started on any questions you may have about bioprocessing development: https://bruehlmann-consulting.com/call

Develop bioprocessing technologies better, faster, at a fraction of the cost with our 1:1 Strategy Call: The quickest and easiest way to excel biotech technology development. Book your call at https://stan.store/SmartBiotech

Support the show