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
Space-structured models: derivation, theoretical study, and examples in pharmacodynamics and water-borne diseases;
Age-structured models: derivation, theoretical study, and examples in cell division and water-borne diseases;
Size-structured models: derivation, theoretical study, and example of blood clotting.
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.