Subject Area and Research Team: IV. Artificial intelligence (AI) and big...

Subject Area and Research Team: IV. Artificial intelligence (AI) and big data


Research topics

1. Imaging: Application of AI to Whole Slide Imaging; implementation of AI in liver and prostate cancer imaging

2. Screening: Molecular, radiomic and multi-parameter signature generation, incidence prediction models in lung cancer

3. Diagnosis: AI in the diagnosis of lung cancer, breast cancer, colorectal cancer and liver tumours

4. Treatment: AI-based predictions of treatment efficacy in lung, colorectal and breast cancer; Support of decision making in the management of lung cancer; Improving treatment quality and standardization of surgical treatment of paediatric malignancies

5. Liquid biopsy profiling: AI in cancer patient classification (circulating tumour DNA, tumour educated platelets, circulating tumour cells)

Coordinators

Coordinator #1 Coordinator #2
Name and surname
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Anna Supernat
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Marcin Ostrowski
Academic degree Ph.D. Ph.D.
Employment unit Laboratory of Translational Oncology Department of Thoracic Surgery
Polish Platform of Medical Research Anna Supernat, Ph.D. Marcin Ostrowski, Ph.D.
Email anna.supernat@gumed.edu.pl marcin.ostrowski@gumed.edu.pl
Phone number +48 58 349 14 38 +48 58 349 31 40

photos Paweł Sudara/MUG


Research Team: IV. Artificial intelligence (AI) and big data

Team Members: IV. Artificial intelligence (AI) and big data (201 KB)


Feel free to contact one of our coordinators to join our Research Team.

Key current projects

1. Pomeranian Pilot Lung Cancer Screening Programme

2. Development of molecular tests supporting the detection of early lung cancer; Validation of molecular signatures to detect early lung in the high-risk group populations (MOLTEST, MOLTEST BIS Projects)

3. AI4ORSafety project: development of novel AI-based approaches for automatic safety checkpoint monitoring during endoscopic surgeries, enabling the development of a surgical control tower for the operating room

4. Application of the neural network for automatic recognition of liver structures (in cooperation with the Department of Computer Systems Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology)

5. Data bridge. Stage II: Open Research Data – Multidisciplinary Open Knowledge Transfer System (Medical University of Gdańsk, Gdańsk University of Technology, University of Gdańsk)

Key grants

Funding agency/grant number Title of the project Years
1. Horizon 2020 – the Framework Programme for Research and Innovation – EuCanImagine European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology. 2020-2024
2. Horizon 2020 – the Framework Programme for Research and Innovation – Children’s Liver Tumour European Research Network (CHILTERN) Establishing effectiveness of health care interventions in the paediatric population. 2016-2020
3. Horizon 2020 – the Framework Programme for Research and Innovation – CLEARLY, ERANET on Translational Cancer Research TRANSCAN-2 Validation of multi-parameter models of circulating and imaging biomarkers to improve early diagnosis of lung cancer. 2014-2020
4. NCN Opus 19 Deciphering progression of triple negative breast cancer – analysis of tumour-associated cells in the bloodstream using single cell sequencing and methods of artificial intelligence 2020 – ongoing

International cooperation

Foreign partner (unit name) Principal investigator(s) Area of cooperation
1. University of Siena Franco Roviello Molecular analysis, VR and AR collaboration
2. Humanitas Mirasole S.P.A. Giulia Veronesi Diagnosis and treatment of early lung cancer
3. Universitat de Barcelona Karim Lekadir Artificial intelligence in breast, colon and liver neoplasms
4. Amsterdam UMC Thomas Würdinger Tumour educated platelet sequencing and profiling
5. Universiteit Maastricht Philip Lambin Diagnosis and treatment of early lung cancer
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Key publications

1. Pedersen J, Rzyman W, Veronsei G, D’Amico T, Van Schil P, Molins L, Massard G, Rocco G. Recommendations from the European Society of Thoracic Surgeons (ESTS) regarding computed tomography screening for lung cancer in Europe. Eur J Cardio-Thorac Surg 2017; vol. 51 (3): p. 411-420.

2. Oudkerk M, Devaraj A, Vliegenthart R, Henzler T, Prosch H, Heussel C, Bastarrika G, Sverzellati N, Mascalchi M, Delorme S, Baldwin DR, Callister ME, Becker N, Heuvelmans MA, Rzyman W, Infante MV, Pastorino U, Pedersen JH, Paci E, Duffy SW, de Koning H, Field JK. European position statement on lung cancer screening. Lancet Oncol 2017; vol. 18(12): p. 754-766.

3. Carrillo-Reixach J, Torrens L, Simon-Coma M, Royo L, Domingo-Sàbat M, Abril-Fornaguera J, Akers N, Sala M, Ragull S, Arnal M, Villalmanzo N, Cairo S, Villanueva A, Kappler R, Garrido M, Guerra L, Sábado C, Guillén G, Mallo M, Piñeyro D, Vázquez-Vitali M, Kuchuk O, Mateos ME, Ramírez G, Santamaría ML, Mozo Y, Soriano A, Grotzer M, Branchereau S, de Andoin NG, López-Ibor B, López-Almaraz R, Salinas JA, Torres B, Hernández F, Uriz JJ, Fabre M, Blanco J, Paris C, Bajčiová V, Laureys G, Masnou H, Clos A, Belendez C, Guettier C, Sumoy L, Planas R, Jordà M, Nonell L, Czauderna P, Morland B, Sia D, Losic B, Buendia MA, Sarrias MR, Llovet JM, Armengol C.Epigenetic footprint enables molecular risk stratification of hepatoblastoma with clinical implications. J Hepatol. 2020; vol. 73(2): p. 328-341.

4. de Valk KS, Deken MM, Handgraaf HJM, Bhairosingh SS, Bijlstra OD, van Esdonk MJ, Terwisscha van Scheltinga AGT, Valentijn ARPM, March TL, Vuijk J, Peeters KMCJ, Holman FA, Hilling DE, Mieog JSD, Frangioni JV, Burggraaf J, Vahrmeijer AL. First-in-Human Assessment of cRGD-ZW800-1, a Zwitterionic, Integrin-Targeted, Near-Infrared Fluorescent Peptide in Colon Carcinoma. Clin Cancer Res. 2020; vol. 26(15): p. 3990-3998.

5. Supernat A, Vidarsson OV, Steen VM, Stokowy T. Comparison of three variant callers for human whole genome sequencing. Sci Rep 2018; vol. 8(1): p. 17851.