November 15, 2017
1:50PM - 2:50PM
Cockins Hall 240
Add to Calendar
2017-11-15 14:50:00
2017-11-15 15:50:00
Recruitment Talk (Marion) - Rebecca Everett
Title: Mathematical modeling of medical treatments for patientsSpeaker: Rebecca EverettAbstract: Mathematical models are providing insights into disease progression and helping to inform treatment decisions. The process of modeling is iterative, where both the biological understanding and our mathematical model representing these biological hypotheses are revised and improved based on mathematical results and real world data. Focusing on applications in psychology and cancer biology, I will discuss: the modeling process, our results from developing and analyzing mathematical models, and biological insights gained from mathematical models. This approach is leading towards helping to improve medical treatments for patients.
Cockins Hall 240
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
Add to Calendar
2017-11-15 13:50:00
2017-11-15 14:50:00
Recruitment Talk (Marion) - Rebecca Everett
Title: Mathematical modeling of medical treatments for patientsSpeaker: Rebecca EverettAbstract: Mathematical models are providing insights into disease progression and helping to inform treatment decisions. The process of modeling is iterative, where both the biological understanding and our mathematical model representing these biological hypotheses are revised and improved based on mathematical results and real world data. Focusing on applications in psychology and cancer biology, I will discuss: the modeling process, our results from developing and analyzing mathematical models, and biological insights gained from mathematical models. This approach is leading towards helping to improve medical treatments for patients.
Cockins Hall 240
Department of Mathematics
math@osu.edu
America/New_York
public
Title: Mathematical modeling of medical treatments for patients
Speaker: Rebecca Everett
Abstract: Mathematical models are providing insights into disease progression and helping to inform treatment decisions. The process of modeling is iterative, where both the biological understanding and our mathematical model representing these biological hypotheses are revised and improved based on mathematical results and real world data. Focusing on applications in psychology and cancer biology, I will discuss: the modeling process, our results from developing and analyzing mathematical models, and biological insights gained from mathematical models. This approach is leading towards helping to improve medical treatments for patients.