Coverbild der Sendung From Models to Medicine

From Models to Medicine

Podcast von KAMI Think Tank

Englisch

Wissen​schaft & Techno​logie

Begrenztes Angebot

2 Monate für 1 €

Dann 4,99 € / MonatJederzeit kündbar.

  • 20 Stunden Hörbücher / Monat
  • Podcasts nur bei Podimo
  • Alle kostenlosen Podcasts
Loslegen

Mehr From Models to Medicine

At KAMI Think Tank, we love cutting through the AI hype to showcase where the technology actually stands and how to use it meaningfully within the life sciences. Now, we're bringing that same clarity with our community to a brand new podcast: From Models to Medicine. Every week, we sit down with a real practitioner in the life sciences, whether they're working in the lab, leading innovation at a biotech, or building tools to better serve scientists. We discuss how they cut through the hype of AI and practically leverage the tool in their scientific workflows. Glad to have you here.

Alle Folgen

10 Folgen

Episode Episode 9: Mitochondria, Machine Learning, and a Few Hard Lessons Cover

Episode 9: Mitochondria, Machine Learning, and a Few Hard Lessons

Rachel Jacobson [https://www.linkedin.com/in/racheldevayjacobson/] has spent her career moving between some of the most demanding corners of life sciences before founding Powerhouse Biology. In this episode, she traces that journey and explains why, after all of it, she keeps coming back to mitochondria. We get into what it actually takes to bridge biology and machine learning inside a lab culture, why asking "stupid questions" across disciplines is a feature and not a bug, and what she had to unlearn from traditional drug development to work effectively alongside ML engineers. We also dig into data design. Rachel makes a sharp case that data passing standard biological QC is not the same as data that's ready for a machine learning model. Uneven plate layouts, cell debris, different scientists handling samples can all create batch effects that quietly break your model before it ever sees a hypothesis worth testing. She connects all of this to a bigger argument about why human biological variability needs to be built into preclinical pipelines from the start, and why ML might finally give scientists the tools to do that seriously.

20. Mai 2026 - 43 min
Episode Episode 8: The Equity Gap in Diagnostic AI Cover

Episode 8: The Equity Gap in Diagnostic AI

In this episode, we sit down with Dr. Freddy Nguyen [https://www.linkedin.com/in/freddytn/], CEO and co-founder of Nine Diagnostics, whose background spans medicine, pathology, optics, and nanotechnology. Freddy shares how Nine Diagnostics is building a multiomics platform that helps cancer patients find out within days whether their treatment is actually working. We dig into why AI's real power in medicine lies in its ability to connect siloed data across molecular readouts, imaging, and clinical context, and why treating patients as more than just their diagnosis is the only way to build tools that actually hold up in the real world. We also get into the harder conversation: where AI in clinical workflows breaks down. It's a candid, technically grounded conversation about what equitable AI in medicine actually requires.

13. Mai 2026 - 42 min
Episode Episode 7: AI at the Bench: The New Wet Lab Workflow Cover

Episode 7: AI at the Bench: The New Wet Lab Workflow

In this episode of From Models to Medicine, we sit down with Elisa Martin Perez [https://www.linkedin.com/in/elisa-martin-perez/], a postdoc at University of California, Berkeley, to talk about how non-coders are starting to use AI in their day-to-day work. From learning R through conversation to making sense of massive CRISPR screens, Elisa shares how AI is becoming a practical tool for navigating data, checking experimental design, and cutting down on the kinds of manual tasks that quietly consume hours in the lab. We also get into the hesitation many scientists feel around adopting AI, where the technology actually helps (and where it doesn’t), and why it still falls short of running experiments end-to-end. Along the way, we touch on lab logistics, data overload, and what it means to use AI as a thinking partner rather than a replacement.

6. Mai 2026 - 45 min
Episode Episode 6: Digital Twins, Real-World Evidence, and the Future of Clinical Trials Cover

Episode 6: Digital Twins, Real-World Evidence, and the Future of Clinical Trials

What does it actually take to make AI work inside a pharmaceutical company and why do so many efforts stall after the model is built? Pranay Mohanty [https://www.linkedin.com/in/pranay-mohanty-23133b10a/], from J&J Innovative Medicine, joins us to talk about how building the model is only one part of the work and what can happen when you try to apply that model to messy, real-world data. We dig into how teams are starting to use digital twins to simulate patients and rethink trial design, what it looks like to work alongside regulators like the U.S. Food and Drug Administration, and why keeping a human in the loop isn’t optional. Along the way, we share how AI is actually shaping portfolio decisions today and where the limits still are.

29. Apr. 2026 - 45 min
Super gut, sehr abwechslungsreich Podimo kann man nur weiterempfehlen
Super gut, sehr abwechslungsreich Podimo kann man nur weiterempfehlen
Ich liebe Podcasts, Hörbücher u. -spiele, Dokus usw. Hier habe ich genügend Auswahl. Macht 👍 weiter so

Wähle dein Abonnement

Am beliebtesten

Begrenztes Angebot

Premium

20 Stunden Hörbücher

  • Podcasts nur bei Podimo

  • Keine Werbung in Podimo Podcasts

  • Jederzeit kündbar

2 Monate für 1 €
Dann 4,99 € / Monat

Loslegen

Premium Plus

100 Stunden Hörbücher

  • Podcasts nur bei Podimo

  • Keine Werbung in Podimo Podcasts

  • Jederzeit kündbar

30 Tage kostenlos testen
Dann 13,99 € / monat

Kostenlos testen

Nur bei Podimo

Beliebte Hörbücher

Häufig gestellte Fragen

Weitere Fragen und Antworten
Loslegen

2 Monate für 1 €. Dann 4,99 € / Monat. Jederzeit kündbar.