Salvatore Raieli on Linkedin

Salvatore Raieli

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Born in Palermo, Salvatore Raieli attended a Biotechnology degree at a university in Paris for his PhD. Obtaining his PhD in Immunology at the Institute Curie focusing his studies on the innate immunity response. Salvatore moved to Bologna to work as bioinformatician in Biogenera.

Salvatore Raieli joined the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project in 2019 and continued as a volunteer for Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss.

His contribution to the Association is focusing in implementing deep learning approaches to discriminate cancer cell from health. He is aiming to use deep learning in retrieve biology findings to help research against cancer. Moreover, he is interested in writing tutorials that would allow a broader community to approach deep learning in biology.

Projects

Acute Lymphoblastic Leukemia Detection System 2019
Acute Lymphoblastic Leukemia (ALL) Classifiers 2019
ALL FastAI 2019
Acute Lymphoblastic Leukemia FastAI 2020

 

Events

Articles

A complete guide to linear regression using gene expression data for Acute Myeloid Leukemia: Part 2 — Fit and algorithm evaluation
A complete guide to linear regression using gene expression data for Acute Myeloid Leukemia: Part 1 - An introduction
Medical image diagnosis in leukemia
xDNN for SARS-CoV-2 identification in patient CT scans
Complexity reduction techniques with gene expression data
Artificial intelligence in leukemia
Medical image diagnosis in leukemia
Acute Myeloid Leukemia: A general introduction