Free

Synthetic Data Generation for Rare Disease Research

Actions and Detail Panel

Free

Event Information

Share this event

Date and time

Location

Location

Online event

Event description
Rare disease data tend to be small - synthetic data generation techniques can amplify these small datasets.

About this event

A not uncommon scenario in rare disease is that of Hao-Fountain Syndrome and Project Artemis. This project launched in 2018 when 34 patients worldwide were known to have this USP7 gene mutation. The goal of the project was to find 66 more patients and get to 100 patients. This last month, three years later, Project Artemis achieved its goal and 100 patients were found.

Because in general these rare disease datasets are small, that makes it difficult to use some of the more sophisticated AI and machine learning techniques, which tend to require larger data population. Synthetic data generation (SDG) techniques can help solve this problem by amplifying these small datasets, and enabling more analytic strategies on these types of data, leading to faster information gain and discoveries.

In this webinar we will provide some background on rare disease datasets and how they are collected. We will then describe the small data challenges of these datasets, and how SDG can help address these problems. Examples of how this works will be presented.

Share with friends

Date and time

Location

Online event

{ _('Organizer Image')}

Organizer Replica Analytics Ltd

Organizer of Synthetic Data Generation for Rare Disease Research

Save This Event

Event Saved