I hold a Bachelor’s and Master’s degree in Computer Science, a PhD in Bioinformatics, and a Docentship in Health Bioinformatics. My research is centered on developing and implementing machine learning, heuristic optimization, and network data mining algorithms to tackle the principal computational challenges inherent in the precision medicine (PM) approach. PM is dedicated to the integration of molecular markers with conventional clinical data to customize medical treatment and enhance patient outcomes. My team’s current projects include: 1) patient stratification utilizing both single- and multi-view datasets, facilitated by deep learning, dimensionality reduction, and knowledge-driven clustering analyses; 2) biomarker identification through the analysis of extensive genomics data, applying metaheuristic techniques for feature selection, and; 3) the creation of network data mining algorithms aimed at discovering drug targets and repurposing existing drugs. Our work is pivotal in translating complex biological data into actionable insights for PM, ultimately aiming to optimize individual patient care.
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Transcriptomic profiling reveals differential cellular response to copper oxide nanoparticles and polystyrene nanoplastics in perfused human placenta
Chortarea, S; Gupta, G; Saarimäki, LA; Netkueakul, W; Manser, P; Aengenheister, L; Wichser, A; Fortino, V; Wick, P; Greco, D; Buerki-Thurnherr, T. 2023. Environment international. 177: . 108015 -
AIM in Allergy
Wisgrill, Lukas; Werner, Paulina; Fortino, Vittorio; Fyhrquist, Nanna. Teoksessa: Lidströmer, Niklas; Ashrafian, Hutan(toim.) , 2022. Artificial Intelligence in Medicine. s. 1411-1423. Springer -
Biomarkers of nanomaterials hazard from multi-layer data
Fortino, Vittorio; Kinaret, Pia Anneli Sofia; Fratello, Michele; Serra, Angela; Saarimäki, Laura Aliisa; Gallud, Audrey; Gupta, Govind; Vales, Gerard; Correia, Manuel; Rasool, Omid; Ytterberg, Jimmy; Monopoli, Marco; Skoog, Tiina; Ritchie, Peter; Moya, Sergio; Vázquez-Campos, Socorro; Handy, Richard; Grafström, Roland; Tran, Lang; Zubarev, Roman; Lahesmaa, Riitta; Dawson, Kenneth; Loeschner, Katrin; Larsen, Erik Husfeldt; Krombach, Fritz; Norppa, Hannu; Kere, Juha; Savolainen, Kai; Alenius, Harr. 2022. Nature communications. 13: . 3798 -
Characterization of ENM Dynamic Dose-Dependent MOA in Lung with Respect to Immune Cells Infiltration
Serra, Angela; del Giudice, Giusy; Kinaret, Pia Anneli Sofia; Saarimäki, Laura Aliisa; Poulsen, Sarah Søs; Fortino, Vittorio; Halappanavar, Sabina; Vogel, Ulla; Greco, Dario. 2022. Nanomaterials. 12: -
EDTox: an R Shiny application to predict the endocrine disruption potential of compounds
Sakhteman, Amirhossein; Ghosh, Arindam; Fortino, Vittorio. 2022. Bioinformatics. 38: 2066-2069 -
Identifying gene expression-based biomarkers in online learning environments
Cattelani, Luca; Fortino, Vittorio. 2022. Bioinformatics advances. 2: -
Improved NSGA-II algorithms for multi-objective biomarker discovery
Cattelani, Luca; Fortino, Vittorio. 2022. Bioinformatics. 38: ii20-ii26 -
Integrated Network Pharmacology Approach for Drug Combination Discovery: A Multi-Cancer Case Study
Federico, Antonio; Fratello, Michele; Scala, Giovanni; Möbus, Lena; Pavel, Alisa; del Giudice, Giusy; Ceccarelli, Michele; Costa, Valerio; Ciccodicola, Alfredo; Fortino, Vittorio; Serra, Angela; Greco, Dario. 2022. Cancers. 14: -
Network approaches for modeling the effect of drugs and diseases
Rintala, TJ; Ghosh, Arindam; Fortino, V. 2022. Briefings in bioinformatics. 23: -
Nextcast: A software suite to analyse and model toxicogenomics data
Serra, Angela; Saarimäki, Laura Aliisa; Pavel, Alisa; del Giudice, Giusy; Fratello, Michele; Cattelani, Luca; Federico, Antonio; Laurino, Omar; Marwah, Veer Singh; Fortino, Vittorio; Scala, Giovanni; Sofia Kinaret, Pia Anneli; Greco, Dario. 2022. Computational and Structural Biotechnology Journal. 20: 1413-1426