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Fotis E. Psomopoulos on Muck Rack

Fotis E. Psomopoulos

As seen in: Nature, BioRxiv, Research Data Alliance
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Articles

Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns

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By Eleni Adamidi, Alexandros C. Dimopoulos, Anastasia Krithara, Anastasios Nentidis, Nikos Pechlivanis, Fotis E. Psomopoulos, Thanasis Vergoulis, Serafeim Chatzopoulos, Kleanthis Vichos
| Nature Verified
Abstract Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we performed a data‑driven analysis of 916,824 AI-related life-science papers harvested from OpenAlex and PubMed. We tagged each publication with Medical Subject Headings (MeSH) and compared topic frequencies between articles linked to at least one Greek institution and the rest of the world.
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The deubiquitinase activity of CYLD is required for B cell differentiation

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By Jessica Bordini, George I Gavriilidis, Michela Frenquelli, Alessandro Campanella, Gaia Morello, Marina Gerousi, Eleni Theodosiou, Styliani-Christina Fragkouli, Vasileios Vasileiou, Theodoros Sklaviadis, Dimitra Dafou, George Mosialos, Claudio Tripodo, Fotis E. Psomopoulos, Thomas Winkler, Kostas Stamatopoulos, Paolo Ghia, Konstantinos Xanthopoulos, Athanasios Pseftogas, Alessandra Rovida
| Nature Verified
Abstract CYLD is a functional deubiquitinase, involved in the regulation of significant cellular functions, including survival and apoptosis. To elucidate the role of CYLD in B cell differentiation, we generated transgenic animals with targeted deletion of the catalytically active form of the protein in B cells, starting from early differentiation stages.
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Open and sustainable AI: challenges, opportunities and the road ahead in the life sciences

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By Gavin Farrell, Rafael Andrade Buono, Mihail Anton, Salvador Gutierrez, Emidio Capriotti, Leyla Jael Castro, Davide Cirillo, Lisa Crossman, Christophe Dessimoz, Alexandros C. Dimopoulos, Raul Fernandez-Diaz, Styliani-Christina Fragkouli, Wei Gu, Alireza Khanteymoori, Tom Lenaerts, Fabio G. Liberante, Peter MacCallum, Alexander Miguel Monzon, Magnus Palmblad, Lucy Poveda, Ovidiu Radulescu, Denis C. Shields, Shoaib Sufi, Thanasis Vergoulis, Fotis E. Psomopoulos, Silvio C. E. Tosatto, Eleni Adamidi, Omar Abdelghani Attafi
| Nature Verified
Abstract Artificial intelligence (AI) has seen transformative breakthroughs in the life sciences, expanding possibilities to interpret biological information at an unprecedented capacity. To maximize return on growing investments and accelerate progress, it is urgent to address long-standing research challenges arising from the rapid adoption of AI methods.
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