Jan 23, 2024
Jan 23, 2024

Synthetic Data for Biomedical Applications

A workshop by SDSC & CHUV
09:00h — 18:00h
EPFL, Innovation park, QIE building, Room 108.1 (ground floor)
In-Person Workshop
Speaker(s):

Presentation

Overview

Recently, synthetic data has enjoyed growing interest from the biomedical sector. Synthetic patient data helps in leveraging privacy issues. Augmenting datasets with synthetic records helps with increasing classification model training performance in the face of scarce health data and rare minority classes (e.g. rare diseases).

During this one-day workshop, organized by CHUV and SDSC, we will review available tools for synthetic data generation and use cases in the biomedical and pharmaceutical sectors.

Details

Target Audience

Experienced professionals, executives, and data scientists in the biomedical and pharmaceutical sectors wishing to acquire hands-on knowledge on synthetic data generation and usage.

As the workshop involves hands-on sessions, prior experience with the programming language Python is required. The workshop will be held in English.

Programme

Objectives

By the end of the day, participants will:

- Have a grasp of current available methods for synthetic tabular and image data generation.

- Have identified use cases and challenges of synthetic data in the biomedical and pharmaceutical sector.

- Have hands-on experience with generating synthetic data with python and evaluating its quality.

Agenda

09:00
Welcome coffee

09:30
Welcome & introduction

09:40
Synthetic data: How it works and where it is currently used

10:10
GANs, VAEs and diffusion: a deeper dive

10:55
Break

11:15
Applications in healthcare

11:45
Towards the use of synthetic data in biomedical applications: Evaluation of privacy and utility tradeoff

12:15
Lunch

13:15
Applications in the pharmaceutical industry

14:00

Hands-on (part 1): Understanding synthetic data generation (e.g. generating synthetic medical images for image classification)

14:50
Break

15:10
Hands-on (part 2): Understanding synthetic data evaluation (e.g., sharing survival data evaluating the utility and privacy of tabular synthetic data

16:40
Panel discussion

17:10
Concluding remarks, Apéro & Networking

Instructors

Jeremie Despraz, MS, Principal Data Scientist in Clinical AI, CHUV

Matthias Galipaud, PhD, Senior Data Scientist, SDSC, ETHZ

Beyrem Kaabachi, MS, Data Scientist in Health Data Privacy, CHUV

Arshjot Khehra, Data Scientist, SDSC ETHZ

Jean-Louis Raisaro, PhD, Tenure-Track Assistant Professor in Biomedical data science, CHUV

Alena Simalatsar, PhD, Assistant Professor, HES-SO

Practical Information

Price

Non-members: 150/pers

Ongoing collaborations with SDSC or BDSC: free

Availability & Registration

52 registered participants - Registration closed.

Other events

Nov 28, 2024
Nov 28, 2024

Advancing Lab Science with Artificial Intelligence

16:30 - 20:00
ETH Zurich "Swiss AI Tower" - Andreasstrasse 5, 8092 Zurich-Oerlikon, Switzerland
Speaker(s):
Nov 21, 2024
Nov 21, 2024

ETH Industry Day 2024 @ Open-i

08:45 - 18:00
Kongresshaus Zurich | Zurich Convention Center, Claridenstrasse 5, 8002 Zurich
Speaker(s):
No items found.
Aug 26, 2024
Aug 28, 2024

Personalized Health Technologies 2024

9:00 – 18:00
ETH Zürich, Audi Max HG F 30
Speaker(s):
Oct 24, 2024
Oct 25, 2024

SDSC Hackathon: ORD for the Sciences

09:00 - 18:00
BC Building, EPFL, Lausanne
Speaker(s):
Sep 18, 2024
Sep 18, 2024

Data-Driven Control Methods for Energy and Manufacturing

09:00h - 18:00h
Empa, Dübendorf (Zürich)
Speaker(s):
Jan 17, 2025
Feb 28, 2025

ENID | Enabling Innovation with Data Science at ETH Zurich

9:00h-17:00h
ETH Zurich "Swiss AI Tower" - Andreasturm, Andreasstrasse 5, 8092 Zurich-Oerlikon, Switzerland
Speaker(s):

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!