Introductory lectures are available here aesim2023
Lectures notes
A. Ballesta, Introduction to Pharmacokinetic and Pharmacodynamic
M. Asch, Big Data and Machine Learning for Public Health and Infectious Diseases
lecture 1, lecture 2, lecture 3, lecture 4, lecture 5
Y. Mammeri, Structured Models for medicine and health
N. Chumchob, Deep Learning and Computer Implementation for Deformable Image Registration
M. Pires, Numerical implementation of blood flow
Mini projects
Exploration of squamous cell lung carcinoma dataset
Developing a mathematical model of Squamous Cell Lung Carcinoma
A numerical simulation approach of osteoarthritis
Predictive modeling of cholera outbreaks with spatial simulations
Using machine learning for infectious disease modeling
Automatic Differentiation with Julia
Parameters estimation and simulation of some PKPD models