Genome Analysis for Disease Prediction

source: Internet.

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

Timing, eligibility and other 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

  1. 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.)
  2. 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