Członkowie koła prezentowali swoje osiągnięcia na międzynarodowych konferencjach naukowych oraz zajmowali się pisaniem artykułów naukowych, w tym na przykład napisali następujące artykuły:
D. Pawuś, T. Porażko, Sz. Paszkiel, 2024, „Automation and decision support in the area of nephrology using numerical algorithms, artificial intelligence and expert approach – analysis of the current state of knowledge”, IF=3,9, IEEE Access, DOI: 10.1109/ACCESS.2024.3413595, Electronic ISSN: 2169-3536, Artykuł indexowany w Web of Science oraz Scopus, MNiSW=100 (2.0)
D. Pawuś, T. Porażko, Sz. Paszkiel, 2024, „The use of artificial intelligence, numerical algorithms and expert approach in selected nephrology problems”, 1st International Conference MRTBS 2024 Modern research trends in biomedical sciences: a holistic approach to health care; pp.119; BOOK OF ABSTRACTS; Publisher Publishing House of the University of Opole; e-ISSn 2544-1620 e-ISBn 978-83-8332-061-8
D. Pawuś, T. Porażko, Sz. Paszkiel, 2024, „The use of artificial intelligence, numerical algorithms and expert approach in selected nephrology problems”, Medical Science Pulse 2024, Med Sci Pulse 2024; 18(3): 80-89, DOI: 10.5604/01.3001.0054.7674, MNISW=40
P. Mauer, Sz. Paszkiel, 2024, „Predicting art auction results using machine learning techniques and neural networks”, Chapter in scientific monograph of the 16th Interdisciplinary Scientific Conference TYGIEL 2024 „Interdisciplinarity is the key to development”, March 21-24, 2024, Lublin, s. 7-23, ISBN 978-83-67881-53-1, MNISW=20
D. Pawuś, Sz. Paszkiel, 2024, „Identification and expert approach to controlling the cement grinding process using artificial neural networks and other non-linear models – preliminary research”, IEEE Access, IF=3,9, Volume 11/2023, pp. 1-21, DOI: 10.1109/ACCESS.2024.3366703, Electronic ISSN: 2169-3536, Artykuł indexowany w Web of Science oraz Scopus, MNiSW=100 (2.0)
D. Pawuś, Sz. Paszkiel, 2024, „Expert use of advanced artificial neural network algorithms in non-linear identification, modeling and control of the cement grinding processes – preliminary research”, Automation 2024: Series: Lecture Notes in Networks and Systems, Springer, Rozdział w Monografii naukowej, Monografia indexowana w Web of Science oraz Scopus, Edytor: Szewczyk R., Zieliński C., Kaliczyńska M., Volume x, pp. x, 2024, MNiSW=20 (2.0)
Obecnie pracują nad pozycjami:
J. Zelek, A. Hebda, H. Hebda, J. Małecka, 2024, „Wpływ środowiska tkankowego na strukturę i właściwości stopu Ti-6Al-4V”, Inżynieria materiałowa, MEiN=40 (2.0)
D. Pawuś, Sz. Paszkiel, T. Porażko, 2025, „Automation of classification and prediction in nephrological practice: a design for an expert system – preliminary research”, Automation 2025: Series: Lecture Notes in Networks and Systems, Springer, Rozdział w Monografii naukowej, Monografia indexowana w Web of Science oraz Scopus, Edytor: Szewczyk R., Zieliński C., Kaliczyńska M., Volume x, pp. x, 2025, MNiSW=20 (2.0)
D. Pawuś, Sz. Paszkiel, T. Porażko, 2024, „Expert system supporting automatic risk classification and management in idiopathic membranous nephropathy based on rule sets and machine learning”, Biomedical Signal Processing and Control, Elsevier
P. Mauer, Sz. Paszkiel, 2024, „Tabular Data Models for Predicting Art Auction Results”, Applied Sciences, Artykuł indexowany w Web of Science oraz Scopus; IF: 2,7, MEiN=100 (2.0)
D. Pawuś, Sz. Paszkiel, T. Porażko, 2024, „Comparison of artificial intelligence algorithms and expert approach in risk classification in nephrology”, Proceedings ITTAP’2024: 4th International Workshop on Information Technologies: Theoretical and Applied Problems, November 23–25, 2024, Ternopil, Ukraine, Opole, Poland, CEUR Workshop Proceedings, Artykuł indexowany w Scopus
D. Pawuś, T. Porażko, Sz. Paszkiel, 2024, „Novel systems based on artificial intelligence and numerical algorithms for predicting laboratory results: a comparative study of original automatic prediction model with advances in the field”, International Conference Interdisciplinarity in Engineering – INTER-ENG 2024, Organizer: Faculty of Engineering and Information Technology by the Department of Industrial Engineering and Management and the Department of Electrical Engineering and Information Technology of „George Emil Palade” University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, Octomber 3rd – 4th, 2024, Romania; Series: Lecture Notes in Networks and Systems, Springer, Rozdział w Monografii naukowej, Monografia indexowana w Web of Science oraz Scopus, 2024, MNiSW=20 (2.0)
D. Pawuś, T. Porażko, Sz. Paszkiel, 2024, „Automated Biomedical Measurements Analysis: Innovative Models Based on Artificial Intelligence and Machine Learning for Predicting Laboratory Results in nephrology”; Measurements, Elsevier