List of projects qualified for funding
Medical University of Warsaw – project leader
Optimization of association test parameters for the identification of causal variants in small rare disease cohorts.
MUW leader: Prof. Rafał Płoski from the Department of Medical Genetics; from the Warsaw University of Technology (WUT): Tomasz Gambin, PhD Eng., from the Faculty of Electronics and Information Technology.
Silent killer? Analysis of progression and risk of rupture of abdominal aortic aneurysm.
MUW leader: Prof. Bogdan Ciszek from the Department of Descriptive and Clinical Anatomy; from WUT: Krystian Jędrzejczak, PhD Eng., from the Faculty of Chemical and Process Engineering.
Extended analysis of blood flow in pathological leaks around artificial aortic and mitral valves.
MUW leader: Michał Marchel, MD PhD, from the 1st Chair and Department of Cardiology; from WUT: Krzysztof Wojtas, PhD Eng., from the Faculty of Chemical and Process Engineering.
A simulation of a conversation with a patient and caregivers based on artificial intelligence – used for medical history training (AI-SimPatient).
MUW leader: Jacek Sieńko, MD PhD, from the 2nd Department of Obstetrics and Gynecology; from WUT: Anna Wróblewska, PhD Eng., from the Faculty of Mathematics and Information Science.
Development of a tool to support the diagnostic process of labyrinth diseases using modern machine learning methods.
MUW leader: Agnieszka Jasińska-Nowacka, MD PhD, from the Department of Otorhinolaryngology, Head and Neck Surgery; from WUT: Mateusz Żurawka, PhD Eng., from the Faculty of Automotive and Construction Machinery.
Osteomimetic synthesis of citrate bone biomineral: characterization and assessment of resorption.
MUW leader: Dr. Justyna Niderla-Bielińska from the Department of Histology and Embryology; from WUT: Jakub Jaroszewicz, PhD Eng., from the Faculty of Materials Science and Engineering.
Development of a high-performance method for the analysis of microplastic distribution in human tissues.
MUW leader: Nina Miązek-Zapała, MD, from the Department of Otorhinolaryngology, Head and Neck Surgery; from WUT: Dr. Mikołaj Krysa from the Faculty of Mechatronics.
Machine learning model in the assessment of spinal injuries – automatic diagnosis and classification of unstable fractures on computed tomography.
MUW leader: Tomasz Lorenc, MD PhD, from the 1st Department of Clinical Radiology; from WUT: Prof. Waldemar Smolik from the Faculty of Electronics and Information Technology.
Warsaw University of Technology – project leader
Analysis of macrophage miRNome, isolated from the myocardium of mice with metabolic syndrome and evaluation of the phenotype of the metabolically activated macrophage subpopulation in the context of myocardial remodeling.
WUT leader: Dr. Teresa Szczepińska from CEZAMAT; from MUW: Dr. Ewa Jankowska-Steifer from the Department of Histology and Embryology.
Modelling cancer cell responses using generative vectors of proteomic interactions and phenotypic predictions using AI.
WUT leader: Dariusz Plewczyński from the Faculty of Mathematics and Information Science; from MUW: Dr. Daniel Szulczyk from the Chair and Department of Biochemistry.
Development of tools to support imaging diagnostics in endocrine diseases.
WUT leader: Monika Syga from the Faculty of Mathematics and Information Science; from MUW: Dr. Joanna Rymuza from the Chair and Department of Internal Medicine and Endocrinology.
Comparative assessment of the impact of traditional cigarettes, e-cigarettes and tobacco warmers on the level of methylation of selected genes in respiratory epithelial cells.
WUT leader: Artur Badyda from the Faculty of Environmental Engineering; from MUW: Prof. Katarzyna Koziak from the Department of Biochemistry and Nutrition.
NEHI-PREDICT: Development of a tool for advanced radiomics-based analysis as the foundation of a multimodal clinical course prediction system in children with neuroendocrine cell hyperplasia of infancy.
WUT leader: Magdalena Jasionowska-Skop, PhD Eng., from the Faculty of Mathematics and Information Science; from MUW: Dr. Honorata Marczak from the Department of Pediatric Respiratory Diseases and Allergology.
NMR spectroscopy supported by functional data analysis methods as a fingerprint method in the study of compounds of natural origin.
WUT leader: Grzegorz Siudem, PhD Eng., from the Faculty of Physics; from MUW: Dr. Paweł Siudem from the Department of Organic and Physical Chemistry.
The use of artificial intelligence for automatic analysis of histopathological images in order to predict the recurrence of non-muscle invasive bladder cancer and the failure of BCG treatment.
WUT leader: Radosław Roszczyk, PhD Eng., from the Faculty of Electrical Engineering; from MUW: Dr. Aleksander Ślusarczyk from the Department of General, Oncological and Functional Urology.
Development of a multi-agent AI system to evaluate histopathological lesions in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).
WUT leader: Zaneta Świderska-Chadaj, PhD Eng., from the Faculty of Electrical Engineering; from MUW: Dr. Piotr Kalinowski from the Department of General, Transplant and Liver Surgery.
Integrated assessment of embryotoxicity of selected plant extracts using the zebrafish model and generative artificial intelligence.
WUT leader: Piotr Maciąg, PhD Eng., from the Faculty of Electronics and Information Technology; from MUW: Dr. Magdalena Majdan from the Department of Toxicology and Bromatology.
Machine Learning (ML) model for predicting the risk of thrombotic and hemorrhagic complications in patients supported with the Impella CP device.
WUT leader: Prof. Marek Pawlikowski from the Faculty of Mechanical and Industrial Engineering; from MUW: Dr. Aleksandra Gąsecka van der Pol from the First Chair and Department of Cardiology.
Application of radiomics and artificial intelligence methods in automatic differentiation of adrenal tumors.
WUT leader: Radosław Roszczyk, PhD Eng., from the Faculty of Electrical Engineering; from MUW: Dr. Małgorzata Bobrowicz from the Chair and Department of Internal Medicine and Endocrinology.
Use of graph machine learning methods in the prediction of anti-inflammatory properties of coumarin derivatives.
WUT leader: Grzegorz Siudem, PhD Eng., from the Faculty of Physics; from MUW: Dr. Katarzyna Paradowska from the Department of Organic and Physical Chemistry.