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NIMBioS Seminar Series

In conjunction with the interdisciplinary activities of the National Institute for Mathematical and Biological Synthesis (NIMBioS), a seminar series on topics in mathematical biology will be hosted at NIMBioS every other Tuesday at 3:30 p.m. (unless otherwise noted) in the Hallam Auditorium, Room 206, Claxton Building, 1122 Volunteer Blvd. Seminar speakers will focus on their research initiatives at the interface of mathematics and many areas of the life sciences. Light refreshments will be served in the 1st floor visitor breakroom beginning 30 minutes before each talk. Faculty and students from across the UT community are welcome to join us.


C. Remien photo.

Time/Date: Thursday, April 18, 2013, 3:30 p.m.*
Location: Room 206, Claxton Building, 1122 Volunteer Blvd.
Speaker: Dr. Chris Remien, NIMBioS postdoctoral fellow
Topic: Mathematical Modeling of Liver Injury from Acetaminophen Overdose
Abstract: Acetaminophen (paracetamol, APAP, trade names: Tylenol, Panadol, etc.) is one of the most common drugs on the planet. Though safe at therapeutic doses, APAP is the leading cause of acute liver injury in the developed world. I will present a dynamic mathematical model of APAP overdose, and show how the model can be used to estimate time since overdose, overdose amount, and outcome from measurable markers of liver injury at the time of hospital admission. Increasingly, APAP overdoses are the result of sustained overuse rather than a single-time overdose. Analysis of model dynamics shows that there is a simple threshold with respect to liver damage and APAP intake. The dynamics provide insight into why liver damage from APAP overdose is generally acute even with chronic use.

*Join us for refreshments at 3 p.m. in the 1st floor visitor breakroom.

Seminar Flyer (pdf) Video icon.

Watch seminar online.

For more information about this and other NIMBioS Seminars, visit http://www.nimbios.org/seminars.

C. Remien.



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NSF logo. NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
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