About this episode

Dr Andree Bates interviews Dr Irina Babina about applying astrophysics methods to cancer biology and personalized medicine.

Some of the most powerful breakthroughs happen when methods built for one discipline get turned on another. In this episode, Dr Andree Bates interviews Dr Irina Babina, CEO of Concr, on how computational techniques originally developed in astrophysics are being applied to oncology, helping predict how individual cancer patients will respond to treatment. Irina shares her journey from genetics and targeted cancer therapy into building applied solutions, driven by a frustration many scientists recognise: good science doesn’t always reach patients fast enough. A pivotal patient experience reinforced her focus on personalised biology, because behind every dataset is a person, and oncology cannot be solved purely through averages. Concr’s approach is built around Bayesian computation and uncertainty-aware modelling. Instead of assuming clean, complete datasets, the system is designed to work with missingness and fragmentation, updating predictions as new evidence comes in. Irina explains how Concr connects mechanistic biological modelling and preclinical drug perturbation data to patient multi-omics, imaging, treatment response, and outcomes data from both clinical trials and…

People in this episode

Host: Dr Andree Bates

Guest: Dr Irina Babina

Topics covered

• astrophysics
• cancer biology
• computational techniques
• personalized medicine
• Bayesian computation
• oncology

Keywords

• astrophysics
• cancer treatment
• Bayesian computation
• personalized biology
• digital twin
• oncology

Mentioned in this episode

Organizations: Concr

Books & works: Farsight Twin

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