BIOENGINEERING AND SYNTHETIC BIOLOGY
Academic Year 2025/2026 - Teacher: GIUSEPPE NICOSIAExpected Learning Outcomes
By the end of the course, students will be able to model and address a significant number of biotechnological and biomedical problems using tools, methodologies, and algorithms specific to the state-of-the art Artificial Intelligence.
Course Structure
Classes are attended in person.
Required Prerequisites
There are no prerequisites required.
Attendance of Lessons
Classes are attended in person.
Detailed Course Content
The "Bioengineering and Synthetic Biology (AI for Biotechnology and Biomedicine)" course will address topics in Artificial Intelligence (AI), Generative AI, Graph Neural Networks, and Large Language Models (LLMs) applied to relevant problems in biotechnology and biomedicine. During the course, there will be a series of seminars by experts (both academic and industry) in LLMs and Generative AI. The material consists of slides, articles, and an LLM textbook. The exam consists of a project assigned by the instructor. Please feel free to contact Prof. Nicosia (giuseppe.nicosia@unict.it) if you require further information and/or details.
Textbook Information
Gerhard Paass, Sven Giessbach, "Foundation Models for Natural Language Processing", Springer 2023.
Learning Assessment
Learning Assessment Procedures
The exam consists of a project assigned by the Lecturer.
Examples of frequently asked questions and / or exercises
LLMs for Gene Editing
Graph Neural Networks for Predicting Molecule Toxicity