Lectures

Introductory courses

Course 1: Introduction to Pharmacokinetic and Pharmacodynamic

by Dr BALLESTA Annabelle, Institut Curie, INSERM, France

Abstract of the course: Pharmacokinetic (PK) and pharmacodynamic (PD) analysis are essential for the development of new drugs. This course will give you a better understanding of how to design a PK/PD study, how to analyze the pharmacological data and how to interpret the data.

 


Advanced courses


Course 2: Big Data and Machine Learning for Public Health and Infectious Diseases

by Pr ASCH Mark, University of Picardie Jules Verne, CNRS, France

Abstract of the course: Big data are more and more present in medicine. This course will give the keys to a modern study of big data sets.

 

Course 3: Structured Models for medicine and health 

by Pr MAMMERI Youcef, University Jean Monnet, France 

Abstract of the course: this lecture will present the most common steps to incorporate structures in mathematical models. It will include



Training session


Session 1: Deep Learning and Computer Implementation for Deformable Image Registration

by Dr CHUMCHOB Noppadol, Silpakorn university, Thailand

Abstract of the course: This section covers the following topics:

• Introduction to Deformable Image Registration

• Introduction to Deep Learning Image Processing Techniques

• Variational and PDEs Based Methods for Deformable Image Registration

• Deep Learning in Deformable Image Registration

• Computer Implementation for Deep Deformable Registration

 

Session 2: Numerical implementation of blood flow

by Dr PIRES Marília, University of Évora, Portugal

Abstract of the course: The aim of this lecture is to present numerical method as well its implementation for Newtionian and non-Newtonian flows, with particular attention to blood flow. The open software Freefem++ will be used.