EvoClin PhD students Federica Malighetti and Alberto Villa presented two different but closely connected directions of research in computational oncology at the ECCB2026 conference in Geneva.

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๐—š๐—ฟ๐—ฒ๐—ฎ๐˜ ๐˜€๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ถ๐˜€ ๐—ฎ ๐˜๐—ฒ๐—ฎ๐—บ ๐—ฒ๐—ณ๐—ณ๐—ผ๐—ฟ๐˜, ๐—ฎ๐—ป๐—ฑ ๐˜€๐—ฒ๐—ฒ๐—ถ๐—ป๐—ด ๐˜†๐—ผ๐˜‚๐—ป๐—ด ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ฒ๐—ฟ๐˜€ ๐˜๐—ฎ๐—ธ๐—ฒ ๐—ผ๐˜„๐—ป๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ ๐—ผ๐—ณ ๐—ถ๐˜ ๐—บ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐—ถ๐˜ ๐—ฒ๐˜ƒโ€ฆ

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Company

EvoClin

We give oncologists the power to see the future

Industry
Data Infrastructure and Analytics
Location
Milan, IT
Company size
2โ€“10 employees

About EvoClin

EvoClin, part of Microsoft for Startups, is a university-backed project developed in partnership with the University of Milano-Bicocca and Vita-Salute San Raffaele University, and pre-accelerated by B4i โ€“ Bocconi for Innovation. EvoClin develops innovative data analytics tools to support clinical decision-making, aimed at predicting tumor evolution and patient therapeutic response. The computational ecosystem underlying the project leverages distinct patent-protected machine learning frameworks, trained on data from over 100,000 patients. Tests performed on selected oncological diseases indicate that the platform is able to anticipate the onset of mutations and the progression of the disease progression, by relying exclusively on sequencing data already generated and used in current clinical practice. EvoClin is: Ivan Civetti (MD, Vita-Salute San Raffaele University) Federico Cultrera di Montesano Alex Graudenzi (PhD, Assoc prof, University of Milan-Bicocca) Daniele Ramazzotti (PhD, Assoc prof, University of Milan-Bicocca) info: alex.graudenzi@unimib.it

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