PM Particles and Artificial Intelligence: Unraveling the Links Between Exposure and Human Health Conditions
pAIm is a research project aimed at developing an expert decision-making system based on artificial intelligence to detect the relationship between exposure to PM particles and their health effects on humans. At the core of the proposed project's research is the prediction of DNA damage leading to the development of diseases caused by exposure to air-polluting PM particles. The developmental component of this project involves establishing the material-technical infrastructure necessary for utilizing large data structures and artificial intelligence at the Verlab Institute.
The research component of the project focuses on determining DNA damage in respiratory patients, individuals with allergic reactions, and athletes after exposure to PM particles. The project contributes to strengthening the scientific research capacity of researchers at the Verlab Institute who will be able to support the implementation and use of this and similar innovative artificial intelligence systems in the healthcare system of the Federation of Bosnia and Herzegovina. The research presented in this project is based on a connectivist approach, i.e., the methodology of developing artificial intelligence systems, which includes the analysis of data in its original form, defining the technical specifications of the artificial intelligence system, training the artificial intelligence system, and validating the performance of the developed system.
The project team consists of 3 members from the Verlab Institute (including the project leader), external collaborators: 2 representatives from the healthcare sector of Eurofarm, 1 researcher from the International University of Sarajevo (IUS), and consultants: a researcher from the University of Donja Gorica, a collaborator from the University of Napoli Federico II, Italy, and a collaborator from the University of Campus Biomedico, Italy.
