Graph Convolutional Networks for Predicting Cancer Outcomes and Stage: A Focus on cGAS-STING Pathway Activation by Mateo Sokač, Borna Skračić, Danijel Kučak, Leo Mršić

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Bridging Artificial Intelligence and Neurological Signals (BRAINS): A Novel Framework for Electroencephalogram-Based Image Generation by Mateo Sokač, Leo Mršić, Mislav Balković, Maja Brkljačić

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AI-Light Spectrum Replicator (LSR): A Novel Simulated In Situ Lab/On-Deck Incubator by Staša Puškarić, Mateo Sokač, Živana Ninčević, Heliodor Prelesnik, Knut Yngve Børsheim

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The ratio of adaptive to innate immune cells differs between genders and associates with improved prognosis and response to immunotherapy. by Johanne Ahrenfeldt, Ditte S Christensen, Andreas B Østergaard, Judit Kisistók, Mateo Sokač, Nicolai J Birkbak

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Spatial transformation of multi-omics data unlocks novel insights into cancer biology by Mateo Sokač, Asbjørn Kjær, Lars Dyrskjøt, Benjamin Haibe-Kains, Hugo JWL Aerts, Nicolai J Birkbak

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Extracted Spectral Signatures from the Water Column as a Tool for the Prediction of the Structure of a Marine Microbial Community by Staša Puškarić, Mateo Sokač, Živana Ninčević, Danijela Šantić, Sanda Skejić, Tomislav Džoić, Heliodor Prelesnik, Knut Yngve Børsheim

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