Workshop “Statistical methods for precise medicine”
24 February 2023 @ 09:00 - 18:00
- Past event
Workshop “Statistical methods for precise medicine”
Final event of the project “CluB-PMx² – CLUstering: Bayesian Partition Models for Precise Medicine”
This event will bring together leading researchers from international institutions to showcase their latest contributions to the field of precise medicine. Attendees will have the opportunity to learn about cutting-edge research, innovative methodologies, and new clinical applications. The conference will also serve as a networking platform for young researchers, providing them with the chance to connect with established senior researchers, exchange ideas and collaborate on future projects.
Venue: Fondazione Collegio Carlo Alberto
Plenary speakers
Fabio Rigat (Astrazeneca R & D)
Sylvia Richardson (University of Cambridge)
Matteo Pedone (Università degli studi di Firenze)
Mauro Gasparini (Politecnico di Torino)
Alessandra Guglielmi (Politecnico di Milano)
Program
9:20-9:30 Welcome and Introduction
9:30-10:15 Sylvia Richardson | “Scalable Bayesian inference for high dimensional genomics”
10:15-10:45 Coffee break
10:45-11:20 Mauro Gasparini | “Estimating Vaccine Efficacy”
11:20-11:55 Matteo Pedone | “A Bayesian nonparametric approach to personalized treatment selection”
11:55-12:30 Alessandra Guglielmi | “Clustering blood donors via mixtures of product partition models with covariates”
12:30-14 Lunch
14:00-14:45 Fabio Rigat |”Introduction to patient centric oncology clinical development”
14:45-15:15 Coffee break
Valentina Ghidini (Università Bocconi)| “Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks”
Alessandro Colombi (Università di Milano Bicocca) | “Block structured Gaussian graphical models for spectrometric functional data”
Claudio Busatto (Università degli studi di Firenze) | “Informative co-data learning for high-dimensional horseshoe regression”
16:15-16:30 Conclusion
16:30-18 Round table about precision medicine and statistics
See the project page.