In this episode of Life Sciences 360, host Harsh Thakkar sits down with Marc Sheetz, Associate Dean of Research at Midwestern University's College of Pharmacy, to discuss the growing concern of antimicrobial resistance and the field of pharmacometrics. 

Marc sheds light on how pharmacometrics is shaping the future of medicine by using predictive models to personalize dosing, making drug treatments more effective while reducing toxicity. This episode dives deep into the intersection of pharmacometrics, AI, and machine learning, revealing how the future of patient care and treatment is rapidly evolving. Marc also shares insights from his current research in the infectious disease space, including his work with pediatric ICU patients.

Chapters:

00:00 Introduction
00:03 Antibiotic Toxicity and Population Models
01:02 The Importance of Antibiotics and Public Health Challenges
01:22 Introduction to Pharmacometric Science
03:12 Using Data in Medicine for Future Predictions
06:01 Tailoring Drug Dosages for Individuals
09:36 The Global Variation in Drug Dosages and Challenges
14:44 The Future of Personalized Medicine and Precision Dosing
21:39 The Intersection of AI, Machine Learning, and Pharmacometrics
26:35 The Role of Technology in Medicine
30:01 How Dosing Software and AI Are Enhancing Patient Care
36:54 Innovation and Research Trends in Medicine


- Connect with Marc Sheetz on Twitter: 
(https://twitter.com/IDPharmacometrics)  

- Learn more about Midwestern University: 
(https://www.midwestern.edu)  

- Follow Life Sciences 360 on LinkedIn 
(https://www.linkedin.com/company/life-sciences-360)

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#Pharmacokinetics #Pharmacodynamics #AntibioticResistance, #AntimicrobialResistance #AIinHealthcare #PrecisionMedicine #PersonalizedMedicine #Infectious #DiseaseResearch

For transcripts, check out the podcast website - www.lifesciencespod.com