Genome Analysis for Disease Prediction
Your well-being! Your Genome reveals it all!
Project description
The project aims to develop a multimodal generative AI model that can predict disease occurrence and also leverage the powerful LLM models to regulate and personalize the forecasting decision.
Project outcome
- Product prototype
- Publication
Project details
| Length of commitment | Long (longer than a semester; 6-9 months) |
| Start time | Anytime |
| In-person, remote, or hybrid? | Hybrid Project |
| Level of collaboration | Individual student project |
| Benefits | Academic credit |
| Who is eligible | All undergraduate students with excellent programming and mathematical skill |
Project mentor
Sreyasee Das Bhattacharjee
Assistant Professor of Research & Training
Computer Science & Engineering
Phone: (716) 645-4769
Email: sreyasee@buffalo.edu
Start the project
- Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
- After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.)
Preparation activities
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
- Reading papers related to the topic
- Coding
- Writing reports
Keywords
Genomic AI