ReGenAI

Biomedical Unit — UNINA

This unit conducts the core biological experiments of the project. Leveraging its state-of-the-art Genomic and Animal Facilities (TIGEM), the team manages the animal models, generates all the single-cell transcriptomic data, and performs the in-vivo validation of the drug candidates identified by the AI, using advanced functional and morphological assays (ERG, OCT).

Computational Unit — UNISANNIO

This unit manages the project's computational research. With access to a high-performance Superdome server, the team develops and trains the sophisticated AI model. They are responsible for analyzing the complex single-cell data, prioritizing drug candidates through large-scale virtual screening, and performing the final bioinformatic analysis of treated samples.

Prof. Michele Pinelli

Associate Professor of Medical Genetics

As the project's PI, Prof. Pinelli coordinates the biomedical and computational efforts. His research focuses on the transcriptomics of the human retina and the diagnosis of rare genetic diseases. His expertise is fundamental for generating high-quality biological data and ensuring the clinical relevance of the project's findings.

Prof. Francesco Napolitano

Associate Professor of Bioinformatics

Prof. Napolitano leads the development of the project's computational strategy. As a Computer Scientist, his work centers on creating innovative machine learning and deep learning models for computational drug discovery. He develops the novel AI tools and analytical pipelines that are essential for identifying therapeutic candidates from complex genomic data.