Digital technologies and data science are recognised as catalysts in the process of improving healthcare by transforming the way health and diseases are analysed and how diagnostics will be planned in the future.

The applications of digital health include the use of a variety of methods from the field of data science as well as the application of artificial intelligence and machine learning algorithms for medical purposes and analyses in public health, all aimed at better tracking procedures in activities and decision-making. As is often the case with technological progress, advances in digital health bring significant ethical, legal and social implications.

The research group aims to identify points of intersection between computing and informatics on the one hand and biomedicine and healthcare on the other, and to define possible solutions and analyse the potential synergies between these areas.

Academic advisors

  • Prof. Siddhartha Bhattacharyya, PhD
  • Prof. Igor Rudan, PhD
  • Prof. Ivana Kolčić, PhD
  • PhD Panče Panov

Papers

  • Glunčić, Matko; Vlahović, Ines; Rosandić, Mario; Paar, Vladimir (2024). Tandem NBPF 3mer HORs (Olduvai triplets) in Neanderthal and two novel HOR tandem arrays in human chromosome 1 T2T-CHM13 assembly. Scientific Reports 13 (1), 14420
  • Glunčić, Matko; Vlahović, Ines; Rosandić, Mario; Paar, Vladimir (2024). Novel Concept of Alpha Satellite Cascading Higher-Order Repeats (HORs) and Precise Identification of 15mer and 20mer Cascading HORs in Complete T2T-CHM13 Assembly of Human Chromosome 15 // International Journal of Molecular Sciences 25 (8), 4395
  • Glunčić, Matko; Vlahović, Ines; Mršić, Leo; Paar, Vladimir (2022). Global Repeat Map (GRM) application: finding all DNA tandem repeat units, Q1
  • Vlahović, Ines; Glunčić, Matko; Dekanić, K.; Mršić, Leo; Jerković, Hrvoje; Martinjak, I.; Paar, V. (2020). Global repeat map algorithm (GRM) reveals differences in alpha satellite number of tandem and higher order repeats (HORs) in human, neanderthal and chimpanzee genomes – novel tandem repeat database
  • Vitaliy, Sarancha; Mršić, Leo; Orešković, Stjepan; Sulyma, Vadym; Kranjčec, Vitale, Bojana Ksenija (2020). Life Cycle Assessment and Management in Hospital Units Using Applicable and Robust Dual Group Based Parameter Model

Projects

  • Project title: Artificial Intelligence in Medical Care: Reducing Errors and Saving Lives (AI2MED)
  • Project title: Gene pattern analysis and digital support for nutrition planning (NUTRIGENOMIKA365)
  • Project title: Smart Routing and Air Quality Analysis (SMARTenROUTE)
  • Project title: Fostering Innovation in the Danube Region through Knowledge Engineering and IPR Management (Knowing IPR)
  • Project title: AI-powered Next Generation of VET (AI4VET4AI)

Other useful information