Title: Foundational AI Models in the Life Sciences: An Illustrative Use Case 
Description: 
  This MSc thesis will examine the emerging role of foundation AI models in the life sciences. 
The first part of the thesis will provide a structured overview of current foundation models 
developed for life sciences applications, such as models for protein sequences and structures, 
genomics, single-cell data, biomedical text, molecular representation, and medical imaging.
   The second and main part of the thesis will focus on an illustrative use case involving a selected 
foundation model and an appropriate publicly available dataset. The student will study the 
selected model and dataset, prepare the dataset, apply or fine-tune the model where appropriate, 
and evaluate its performance on a specific life-sciences task.

Supervisor: Pavlos Efraimidis (pefraimi@ee.duth.gr)