Interviews

[Interview] Hacking Metabolomics With AI To Improve Clinical Research

by Andrii Buvailo, PhD  (contributor )   •     

Disclaimer: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com.
Contributors are fully responsible for assuring they own any required copyright for any content they submit to BiopharmaTrend.com. This website and its owners shall not be liable for neither information and content submitted for publication by Contributors, nor its accuracy.

Share:   Share in LinkedIn  Share in Bluesky  Share in Reddit  Share in Hacker News  Share in X  Share in Facebook  Send by email

Personalized medicine has become a paradigm-shifting trend in healthcare - the hegemony of  “one-size-fits-all” drugs is increasingly challenged by novel innovative modalities and therapies, laser-sharped for a specific group of patients, or even a single patient in some cases. This is a complex story, and the progress in personalized medicine will take time and tectonic shifts in the pharmaceutical research workflow. 

On the other hand, the advent of personalized medicine is only possible with a more personalized system for health assessment, new robust biomarkers, and novel approaches to run and monitor clinical trials. This will require diagnostics that can provide sufficient insight into the metabolic status of individuals, and relatively new science of metabolomics is now taking off in the biotech industry.  

#advertisement
AI in Drug Discovery Report 2025

Continue reading

This content available exclusively for BPT Mebmers

Topics: AI & Digital   

Share:   Share in LinkedIn  Share in Bluesky  Share in Reddit  Share in Hacker News  Share in X  Share in Facebook  Send by email

You may also be interested to read: