Episode 19: Flow Cytometry, Biomarkers, and the AI Patterns Nobody Is Verifying

<p>For this episode, we sit down with <a href="https://www.linkedin.com/in/banishreesaha/" target="_blank" rel="noopener noreferer">Banishree Saha</a>, Global Biomarkers Lead at Takeda, who has worked in fields such as academic liver biology to translational biomarker work, over the course of her 20-year career. She walks us through what biomarkers really are, how flow cytometry went from single-color panels to capturing 40 proteins simultaneously, and why that explosion in data has made systems thinking the only way forward.</p><p>Banishree talks about AI&#39;s strengths and weaknesses, and makes the case that the scientists most at risk from AI aren&#39;t the ones who know too much biology. But are the ones who don&#39;t know enough to catch when the model is wrong. </p>