Physics‑based simulations help diagnose and treat disease

This episode of the Physics World Weekly podcast features Amanda Randles , who is a computer scientist and biomedical engineer at Duke University in the US. In a conversation with Physics World ’s Margaret Harris, Randles explains how she uses physics-based, computationally intensive simulations to develop new ways to diagnose and treat human disease. She has also investigated how data from wearable devices such as smartwatches can be used identify signs of heart disease. In 2024, the Association for Computing Machinery awarded Randles its ACM Prize in Computing for her groundbreaking work. Harris caught up with Randles at the 2025 Heidelberg Laureate Forum , which brings prizewinning researchers and early-career researchers in computer science and mathematics to Heidelberg, Germany for a week of talks and networking. Randles began her career as a physicist and she explains why she was drawn to the multidisciplinary research that she does today. Randles talks about her enduring love of computer coding and also reflects on what she might have done differently when starting out in her career.

You can listen to Physics‑based simulations help diagnose and treat disease online on Radio and Podcast. Open the player on this page to stream the available audio.

Physics‑based simulations help diagnose and treat disease is an episode from Physics World Weekly Podcast by Physics World.

This episode is 27:43 long.

This episode was published on Feb 5, 2026.

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