Computational biology: How mathematical modelling can help cure cancer episode artwork

EPISODE · Jan 6, 2023 · 11 MIN

Computational biology: How mathematical modelling can help cure cancer

from ResearchPod · host ResearchPod

Understanding how living cells work is difficult due to the number of varied and complex processes occurring in them. This complexity can be elucidated by breaking these processes down and focusing on a particular mechanism. One approach is to use mathematical equations – the basis of computational modelling. Dr Susan Mertins, the founder and CEO of Biosystem Strategies LLC, in the USA, is exploring how ordinary differential equations and machine learning can be applied to cancer data for biomarker discovery and drug development, leading to improvements in personalised medicine.Read more in Research OutreachRead some of their latest work here: https://doi.org/10.3389/fonc.2021.805592

Episode metadata supplied by the publisher feed · Published Jan 6, 2023

Embed this episode

Understanding how living cells work is difficult due to the number of varied and complex processes occurring in them. This complexity can be elucidated by breaking these processes down and focusing on a particular mechanism. One approach is to use mathematical equations – the basis of computational modelling. Dr Susan Mertins, the founder and CEO of Biosystem Strategies LLC, in the USA, is exploring how ordinary differential equations and machine learning can be applied to cancer data ...

Distinct summary based on available episode metadata or transcript content.

Ready to play

Computational biology: How mathematical modelling can help cure cancer

0:00 11:34

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of ResearchPod?

This episode is 11 minutes long.

When was this ResearchPod episode published?

This episode was published on January 6, 2023.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this ResearchPod episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!