PHAROS AI Factory announces the 8th Course of its Training Series:  “Generative Modeling in Medical Data“, under the AI4Health specialisation, held online via Zoom. 

Presentation language: Greek

Audience: This course is intended for students in Computer Science and Medical Sciences, as well as Researchers.

Location: Online via Zoom (you will get the zoom link upon registration)

Description: 

This course introduces key concepts and methodologies for working with healthcare and medical data and generating synthetic datasets for research and Machine Learning applications. It begins with an overview of healthcare data types and characteristics, including structured tabular data from electronic health records and medical imaging data such as MRIs and EEGs. The course presents traditional statistical approaches for synthetic data generation and data balancing, including techniques such as SMOTE, ADASYN, and other resampling methods commonly used to address class imbalance. It also covers modern Deep Learning approaches for Generative Modeling, including autoencoders and GANs for synthesizing realistic tabular and visual medical data. Finally, it discusses applications, benefits, and challenges of synthetic data in healthcare.

Learning Objectives

Gain a deeper understanding of synthetic data generation techniques applied in medical data.

Learning Outcomes:

• Analyze synthetic data generation techniques.
• Explore various data types utilized in healthcare.
• MRI processing and data generation techniques for medical and ML applications.

The course’s agenda can be found here.

Register to attend by filling out the form here.