Salvatore Raieli

Salvatore Raieli on Linkedin

Salvatore Raieli joined the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project in 2019. Since then Salvatore has contributed towards the project Github repositories providing code for using Fast AI for classifying Acute Lymphoblastic Leukemia.

Salvatore Raieli
Salvatore Raieli on Linkedin

Salvatore Raieli

Bioinformatics & Immunology AI R&D
PhD in Immunology
BIOGENERA S.p.A
Intel Software Innovator

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.

His contribution to the project 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.

Salvatore Raieli joined the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project in 2019.

Since then Salvatore has contributed towards the project Github repositories providing code for using Fast AI for classifying Acute Lymphoblastic Leukemia.

Leukemia AI Research

De Asociacion De Investigation En Intelligencia Artificial Para La Leucemia Peter Moss is a non profit research association dedicated to researching into the Artificial Intelligence and other modern technologies, and how they can be used in the fight against Leukemia and other blood cancers.

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