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Events - Seminars

Automating Pharmaceutical Research and Development with MATLAB


Seminar Overview

Computational Biology Pharmaceuticals image

Scientists in pharmaceutical and biotech companies continue to struggle with increasing demands on their research. Higher research output with fewer researchers is the task most companies are faced with.

Attend this free seminar to find out how MATLAB can help you reach that goal. You will see a variety of ways to optimize your research such as automating tasks, building models to eliminate failures early, and leveraging high performance computing. Demonstrations will cover image processing, pharmacokinetics (PK), systems biology, and an introductory tour of MATLAB geared towards researchers with limited programming experience.


Thank you for your interest in MathWorks Seminars. There are no dates currently scheduled for this Seminar. For more information on our seminars and products contact MathWorks sales or please visit:


Who Should Attend

This seminar is open to anyone working with biological data. Programming experience is not required.

  • Scientists
  • Managers
  • Computational biologists
  • Engineers

Seminar Highlights

This seminar highlights how MATLAB can help you save time in your research as well as perform more optimized research. In this seminar you will:

  • Become familiar with the MATLAB platform as it applies throughout your entire workflow from research through manufacturing
  • See how automating tasks can significantly decrease the time spent on that task
  • Learn how to build and apply models to draw conclusions prior to performing wet-bench experiments
  • Acquire tips and tricks to improve your knowledge of MATLAB

 

Agenda
8:30 a.m.
Registration and Continental Breakfast
9:00 a.m.
MATLAB Bootcamp: An introduction to MATLAB for non-programmers
10:00 a.m.

Break

10:15 a.m.
Metastatic Lesion Quantification: Automating an image processing task
10:35 a.m.

Optimizing Dose Responses: Systems biology and pharmacokinetic modeling

10:55 a.m.
Other tools of interest: Process analytics, Parallel computing, and Bioinformatics
11:15 a.m.

Tips and Tricks for working with MATLAB

11:45 a.m.

Concluding Remarks – Questions and Answers
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