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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Differential expression analysis identifies a prognostically significant extracellular matrix–enriched gene signature in hyaluronan-positive clear cell renal cell carcinoma
Jokelainen, Otto; Rintala, Teemu J; Fortino, Vittorio; Pasonen-Seppänen, Sanna; Sironen, Reijo; Nykopp, Timo K. 2024. Scientific reports. 14: -
Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection
Alireza, Z.; Maleeha, M.; Kaikkonen, M.; Fortino, V.. 2024. Journal of translational medicine. 22: . 356 -
Integrative network analysis suggests prioritised drugs for atopic dermatitis
Federico, Antonio; Möbus, Lena; Al-Abdulraheem, Zeyad; Pavel, Alisa; Fortino, Vittorio; del Giudice, Giusy; Alenius, Harri; Fyhrquist, Nanna; Greco, Dario. 2024. Journal of translational medicine. 22: . 64 -
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
Imani, Vandad; Moradi, Elaheh; Sevilla-Salcedo, Carlos; Fortino, Vittorio; Tohka, Jussi. Teoksessa: Daimi, Kevin; Al Sadoon, Abeer(toim.) , 2024. Proceedings of the Second International Conference on Advances in Computing Research (ACR’24). s. 392-403. -
Translatome profiling reveals Itih4 as a novel smooth muscle cell–specific gene in atherosclerosis
Ravindran, Aarthi; Holappa, Lari; Niskanen, Henri; Skovorodkin, Ilya; Kaisto, Susanna; Beter, Mustafa; Kiema, Miika; Selvarajan, Ilakya; Nurminen, Valtteri; Aavik, Einari; Aherrahrou, Rédouane; Pasonen-Seppänen, Sanna; Fortino, Vittorio; Laakkonen, Johanna P; Ylä-Herttuala, Seppo; Vainio, Seppo; Örd, Tiit; Kaikkonen, Minna U. 2024. Cardiovascular research. 120: 869-882 -
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