Blar i NTNU Open på forfatter "Tsamardinos, Ioannis"
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A data driven approach reveals disease similarity on a molecular level
Lakiotaki, Kleanthi; Georgakopoulos, George; Castanas, Elias; Røe, Oluf Dimitri; Borboudakis, Giorgos; Tsamardinos, Ioannis (Journal article; Peer reviewed, 2019)Could there be unexpected similarities between different studies, diseases, or treatments, on a molecular level due to common biological mechanisms involved? To answer this question, we develop a method for computing ... -
A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT Study
Markaki, Maria Dorothea Haaberg; Tsamardinos, Ioannis; Langhammer, Arnulf; Lagani, Vincenzo; Hveem, Kristian; Røe, Oluf Dimitri (Journal article; Peer reviewed, 2018)Lung cancer causes >1·6 million deaths annually, with early diagnosis being paramount to effective treatment. Here we present a validated risk assessment model for lung cancer screening. The prospective HUNT2 population ... -
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
Papoutsoglou, Georgios; Karaglani, Makrina; Lagani, Vincenzo; Thomson, Naomi; Røe, Oluf Dimitri; Tsamardinos, Ioannis; Chatzaki, Ekaterini (Peer reviewed; Journal article, 2021)COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three ... -
Excerpts from the 1st international NTNU symposium on current and future clinical biomarkers of cancer: innovation and implementation, June 16th and 17th 2016, Trondheim, Norway
Robles, Ana I.; Olsen, Karina Standahl; Tsui, Dana W.T.; Georgoulias, Vassilis; Creaney, Jenette; Dobra, Katalin; Vyberg, Mogens; Minato, Nagahiro; Anders, Robert A.; Børresen-Dale, Anne-Lise; Zhou, Jianwei; Sætrom, Pål; Nielsen, Boye Schnack; Kirschner, Michaela B.; Krokan, Hans Einar; Papadimitrakopoulou, Vassiliki; Tsamardinos, Ioannis; Røe, Oluf Dimitri (Journal article; Peer reviewed, 2016)The goal of biomarker research is to identify clinically valid markers. Despite decades of research there has been disappointingly few molecules or techniques that are in use today. The “1st International NTNU Symposium ... -
Hidden treasures in "ancient" microarrays: Gene expression portrays biology and potential resistance pathways of major lung cancer subtypes and normal tissue
Kerkentzes, Konstantinos; Lagani, Vincenzo; Tsamardinos, Ioannis; Vyberg, Mogens; Røe, Oluf Dimitri (Journal article; Peer reviewed, 2014)Objective: Novel statistical methods and increasingly more accurate gene annotations can transform “old” biological data into a renewed source of knowledge with potential clinical relevance. Here, we provide an in silico ... -
‘Reduced’ HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial
Røe, Oluf Dimitri; Markaki, Maria; Tsamardinos, Ioannis; Lagani, Vincenzo; Nguyen, Olav Toai Duc; Pedersen, Jesper Holst; Saghir, Zaigham; Ashraf, Haseem (Journal article; Peer reviewed, 2019)Hypothesis We hypothesise that the validated HUNT Lung Cancer Risk Model would perform better than the NLST (USA) and the NELSON (Dutch‐Belgian) criteria in the Danish Lung Cancer Screening Trial (DLCST). Methods The ...