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• 24 Jun 2024 (0800 - 1700 CEST)
• 25 Jun 2024 (0800 - 1700 CEST)

This hands-on workshop will take us through the core concepts behind DeepPumasTM.

DeepPumas is a powerful tool that bridges the gap between mechanistic, statistical, and machine learning modeling. This hands-on workshop will introduce participants to the core concepts behind DeepPumas and its potential to transform decision-making in the healthcare space. By seamlessly embedding machine learning methodology into nonlinear mixed-effect models, DeepPumas enables the simultaneous utilization of domain-specific knowledge and available data for model identification. This workshop will give participants practical skills in hybrid mechanistic and machine learning modeling, a comprehension of how complex covariates can help forecast longitudinal outcomes, and an insight into the possible implications of this technology.

Instructors: Niklas Korsbo, PhD and Lorenzo Contento, PhD

Learning Objectives:

1. Learn basic usage of the Pumas and DeepPumas software.
2. Understand simple neural networks and how to use them.
3. Understand neural-embedded dynamical systems such as Neural Ordinary Differential Equations (ODEs) and Universal Differential Equations (UDEs).
4. Learn Mixed-Effect Neural Networks (MeNets) and how to find individualizable models.
5. Learn how to integrate machine learning for prognostic factor identification in longitudinal models.
6. Understand how to compose all the above to enable a semi-mechanistic scientific machine learning approach to finding individualizable and predictive longitudinal models.
7. Get a sense of how this technology may transform the role of data and modeling in the healthcare space.

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Monday, June 24, 2024

Monday, June 24, 2024

Location

Ergife Palace Hotel & Conference Center

8 Largo Lorenzo Mossa 00165 Roma Italy