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Publikacje
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1. Szaleniec J, Bezshapkin V, Krawczyk A, Kopera K, Zapała B, Gosiewski T, Kosciolek T: Determinants of the microbiome spatial variability in chronic rhinosinusitis. Rhinology 2023 Nov 27., doi: . Online ahead of print.
2. Vottero Paola, Tavernini Scott, Santin Alessandro D., Scheim David E., Tuszyński Jacek, Aminpour Maral: Computational Prediction of the Interaction of Ivermectin with Fibrinogen, International Journal of Molecular Sciences, MDPI, vol. 24, no. 14, 2023, Article number: 11449, pp. 1-24
3. Traina Giovanna, Tuszyński Jacek: The neurotransmission basis of post-traumatic stress disorders by the fear conditioning paradigm, International Journal of Molecular Sciences, MDPI, vol. 24, no. 22, 2023, Article number: 16327, pp. 1-14
4. Sura Gloria H., Tran Kevin, Fu Chunxiao, Du Lili, Marczyk Michał, Martinez Yadira, Tinnirello Agata A., Gould Rebekah E., Lau Rosanna, Symmans W. Fraser: Molecular testing opportunities on cytology effusion specimens: the pre-analytic effects of various body fluid cytology preparation methods on RNA extraction quality and targeted sequencing, Journal of the American Society of Cytopathology, Elsevier BV, vol. 12, no. 1, 2023, pp. 10-19
5. Sokolowska-Gadoux Magdalena, Jarosz-Chobot Przemysława, Polańska Joanna, Kalemba Alicja, Chobot Agata: Body Mass Index and partial remission in 119 children with type 1 diabetes -a 6-year observational study, Frontiers in Endocrinology, Frontiers Editorial Office, vol. 14, 2023, Article number: 1257758, pp. 1-7
6. Rietman Edward A., Siegelmann Hava T., Klement Giannoula Lakka, Tuszyński Jacek: Gibbs energy and gene expression combined as a new technique for selecting drug targets for inhibiting specific protein-protein interactions, International Journal of Molecular Sciences, MDPI, vol. 24, no. 19, 2023, Article number: 14648, pp. 1-10
7. Suwalska A, Siuda J, Kocot S, Żmuda W, Rudzińska-Bar M, Polanska J: Activation maps of convolutional neural networks as a tool for brain degeneration tracking in early diagnosis of dementia in Parkinson's disease based on magnetic resonance imaging. Signal, Image and Video Processing, 2023, doi: 10.1007/s11760-023-02643-7
8. Tobiasz, J., Al-Harbi, N., Judia, S. B., Wakil, S. M., Polanska, J., & Alsbeih, G. (2023). Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation. Frontiers in Oncology, 13. [Link]
9. Marcisz Anna, Polańska Joanna: Can T1-weighted magnetic resonance imaging significantly improve mini-mental state examination-based distinguishing between mild cognitive impairment and early-stage Alzheimer’s disease?, Journal of Alzheimers Disease, IOS PRESS, vol. 92, no. 3, 2023, pp. 941-957
10. Lam Stephen, Wynes Murry W., Connolly Casey, Ashizawa Kazuto, Atkar-Khattra Sukhinder, Belani Chandra P., DiNatale Domenic, Henschke Claudia I., Hochhegger Bruno, Jacomelli Claudio, Jelitto Małgorzata, Jirapatnakul Artit, Kelly Karen L., Krishnan Karthik, Kobayashi Takeshi, Logan Jacqueline, Mattos Juliane, Mayo John, McWilliams Annette, Mitsudomi Tetsuya, Pastorino Ugo, Polańska Joanna, Rzyman Witold, Sales dos Santos Ricardo, Scagliotti Giorgio V., Wakelee Heather, Yankelevitz David F., Field John K., Mulshine James L., Avila Ricardo: The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative, Journal of Thoracic Oncology, Elsevier Science Inc., 2023, DOI:10.1016/j.jtho.2023.08.016 [in press], 140 points, IF(20.4)
11. Kalra Aarat P., Biswas Somnath, Mulrain Imani, Wang Michelle, Tuszyński Jacek, Scholes Gregory D.: All lit up: exploring the photophysical properties of protein polymers, Journal of Physical Chemistry Letters, American Chemical Society, vol. 14, no. 25, 2023, pp. 5891-5900
12. Halma Matthew T. J., Tuszyński Jacek, Marik Paul E.: Cancer metabolism as a therapeutic target and review of interventions, Nutrients, MDPI, vol. 15, no. 19, 2023, Article number: 4245, pp. 1-43
13. Tobiasz J, Polanska J. Proteomic Profile Distinguishes New Subpopulations of Breast Cancer Patients with Different Survival Outcomes. Cancers. 2023; 15(17):4230. https://doi.org/10.3390/cancers15174230 [Link]
14. Cavaglià Marco, Deriu Marco A., Tuszyński Jacek: Toward a holographic brain paradigm: a lipid-centric model of brain functioning, Frontiers in Neuroscience, Frontiers Media S.A., vol. 17, 2023, Article number: 1302519, pp. 1-9
15. Carels Nicolas, Sgariglia Domenico, Junior Marcos Guilherme Vieira, Lima Carlyle Ribeiro, Carneiro Flávia Raquel Gonçalves, Silva Gilberto Ferreira da, Silva Fabricio Alves Barbosa da, Scardini Rafaela, Tuszyński Jacek, Andrade Cecilia Vianna de, Monteiro Ana Carolina, Martins Marcel Guimarães, Silva Talita Goulart da, Ferraz Helen, Finotelli Priscilla Vanessa, Balbino Tiago Albertini, Pinto José Carlos: A strategy utilizing protein-protein interaction hubs for the treatment of cancer diseases, International Journal of Molecular Sciences, MDPI, vol. 24, no. 22, 2023, Article number: 16098, pp. 1-29
16. Suwalska A, Polanska J: GMM-Based Expanded Feature Space as a Way to Extract Useful Information for Rare Cell Subtypes Identification in Single-Cell Mass Cytometry. International Journal of Molecular Sciences. 2023; 24(18):14033. https://doi.org/10.3390/ijms241814033
17. Akuwudike P, López-Riego M, Marczyk M, Kocibalova Z, Brückner F, Polańska J, Wojcik A, Lundholm L: Short-and long-term effects of radiation exposure at low dose and low dose rate in normal human VH10 fibroblasts. Frontiers in Public Health 2023, 11, 1297942
18. Sura GH, Tran K, Fu C, Du L, Marczyk M, Gould RE, Chen E, Symmans WF: Pre-Analytical Effects on Targeted and Whole Transcriptome RNA Sequencing Analysis in Cytology: The Effects of Prolonged Time in Storage of Effusion Specimens Prior to Preservation. Cytopathology 2023, 34(6), 551-561
19. Socha M, Prażuch W, Suwalska A, Foszner P, Tobiasz J, Jaroszewicz J, Gruszczynska K, Sliwinska M, Nowak M, Gizycka B, Zapolska G, Popiela T, Przybylski G, Fiedor P, Pawlowska M, Flisiak R, Simon K, Walecki J, Cieszanowski A, Szurowska E, Marczyk M, Polanska J: Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis. Computer Methods and Programs in Biomedicine 2023, 240, 107684
20. Marczyk M, Fu C, Lau R, Du L, Trevarton AJ, Sinn BV, Gould RE, Pusztai L, Hatzis C, Symmans WF: Assessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing. Cancer Cytopathology 2023, 131(5), 289- 299
21. Suwalska, A., Tobiasz, J., Prażuch, W., Socha, M., Foszner, P., Piotrowski, D., Gruszczynska, K., Sliwinska, M., Walecki, J., Popiela, T., Przybylski, G., Nowak, M., Fiedor, P., Pawlowska, M., Flisiak, R., Simon, K., Zapolska, G., Gizycka, B., Szurowska, E., Marczyk, M., Cieszanowski, A., Polanska, J. (2023). POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020–2021). Scientific Data, 10, 1–9. https://doi.org/10.1038/s41597-023-02229-5
22. Zyla, J., Marczyk, M., Prazuch, W., Sitkiewicz, M., Durawa, A., Jelitto, M., ... & Polanska, J. (2023). Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies. Biomolecules, 14(1), 44.
23. Mika J, Yoshida K, Kusunoki Y, Candéias SM and Polanska J (2023) Sex- and age-specific aspects of human peripheral T-cell dynamics. Front. Immunol. 14:1224304. doi: 10.3389/fimmu.2023.1224304
24. Joanna Zyla, Rafal Dziadziuszko, Michal Marczyk, Magdalena Sitkiewicz, Magdalena Szczepanowska, Edoardo Bottoni, Giulia Veronesi, Witold Rzyman, Joanna Polanska, Piotr Widlak: miR122 and miR21 are stable components of miRNA signatures of early lung cancer after validation in three independent cohorts. Journal of Molecular diagnostics. (2024) vol. 26, nr 1, s.37-48. DOI:10.1016/j.jmoldx.2023.09.010
25. Zyla J, Papiez A, Zhao J, Qu R, Li X, Kluger Y, Polanska J, Hatzis C, Pusztai L, Marczyk M: Evaluation of zero counts to better understand the discrepancies between bulk and single-cell RNA-Seq platforms. Computational and Structural Biotechnology Journal. 2023, 21:4663-4674
26. Moore Jeffrey, Luduena Richard, Tuszyński Jacek: Editorial: the isotypes of α, β and γ tubulin: from evolutionary origins to roles in metazoan development and ligand binding differences, Frontiers in Cell and Developmental Biology, FRONTIERS MEDIA SA, vol. 11, 2023, Article number: 1176739, pp. 1-3, DOI:10.3389/fcell.2023.1176739, IF(6.081)
27. Podleśny, P., & Tobiasz, J. (2023). Proteomic analysis of non-small cell lung cancer including squamous cell carcinoma and adenocarcinoma. XXVII Gliwice Scientific Meetings, Gliwice, November 16-17, 2023 (Book of Abstracts, p. 102)
28. Kosciolek T: Applications of the new AI-based modeling methods to annotate function of microbial proteins on an evolutionary scale, In: EMBO Workshop on Computational Structural Biology, Heidelberg, Germany, December 12-13, 2023
29. Zamojski Dawid , Gogler Agnieszka, Ścieglińska Dorota , Marczyk Michał: Development of pre-processing methods for DABstained images of reconstructed human epidermis, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 62-62
30. Tuszyński Jacek: Targeting cancer cells’ DNA repair mechanisms: from in silico predictions to in vitro validation, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 44-44
31. Szumała Kamila, Marczyk Michał, Żyła Joanna: Evaluation of R software packages for fitting Gaussian mixture model to biological data, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 12-12
32. Socha Marek, Prażuch Wojciech, Suwalska Aleksandra, Tobiasz Joanna, Bożek Paweł, Piotrowicz Małgorzata, Polańska Joanna: Computed Tomography image voxel intensity normalization to increase the AI system’s robustness, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 65-65
33. Sieradzka Katarzyna, Polańska Joanna: Recognition of white blood cells by unsupervised machine learning techniques in a reduced domain, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 17-17
34. Polańska Joanna: Radiomics in lung cancer diagnosis, In: XXVII Gliwice Scientific Meetings, Gliwice, November 16-17, 2023, 2023, pp. 37-37
35. Piórecki Łukasz, Polańska Joanna: Regularization of Artificial Neural Networks fit for medical applications, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 21-21
36. Merta Julia, Marczyk Michał: Edge-preserving method for removing compression artifacts from stained histopathological images, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 63-63
37. Laber Viviana, Polańska Joanna: Comparative study of decision tree structure optimisation techniques in the case of heterogeneous datasets, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 18-18
38. Kuliś Karolina, Polańska Joanna, Benotmane Mohammed Abderraf, Baatout Sarah: Transcriptomic signature of the brain’s response to low doses of radiation, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 14-14
39. Kowalczyk Paweł, Koszelewski Dominik, Misztal Tomasz, Szlis Michał, Gołębiewski Marcin, Świątek Michał, Rant Witold, Kramkowski Karol, Kocot Malwina, Marczyk Michał, Wypych Aleksandra, Ostaszewski Ryszard: Transfer of CF3-coumarin derivatives with potential antibacterial and anticancer activity from blood to the cerebrospinal fluid in sheep, In: XXVII Gliwice Scientific Meetings, Gliwice, November 16-17, 2023, 2023, pp. 162-162
40. Dąbkowski Patryk, Polańska Joanna: Intelligent self-adaptive H&E-stained tissue scan quantisation, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 64-64
41. Cojg Urszula, Suwalska Aleksandra: A convolutional neural network for the classification of COVID-19 patients using chest X-ray images, In: XXVII Gliwice Scientific Meetings, Gliwice, November 16-17, 2023, 2023, pp. 101-101
42. Bargieła Alicja, Mika Justyna: The use of diversity profiles to describe differentially skewed TCR repertoires, In: XXVII Gliwice Scientific Meetings, Gliwice, November 16-17, 2023, 2023, pp. 99-99
43. Banaś Agnieszka, Savarese Marco, Tupler Rossella, Polańska Joanna: WES-based FSHD patient stratification with the use of machine learning, In: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna[i in.](eds.), 2023, Politechnika Śląska, pp. 13-13
44. Mariya Rozenblit, Aleksandra Suwalska, Erin Wysong Hofstatter, Emily Reisenbichler, Malini Harigopal, Michal Marczyk, Lajos Pusztai: Somatic mutations in tumor-adjacent normal breast tissue in young women with high risk family history. 2023 ASCO Annual Meeting, Chicago, USA, 2-6 June, 2023, Journal of Clinical Oncology, 2023, 41(S16):576
45. Strzoda Tomasz, Cruz-Garcia Lourdes, Najim Mustafa, Badie Christophe, Polanska Joanna: How to encode in no-mapping mapping of Oxford Nanopore long reads? Symposium of the Polish Bioinformatics Society 2023 (PTBI). Book of Abstracts p.26 [Link]
46. Kalisz S: “Metody detekcji tekstu na obrazach cyfrowych” Konferencja InterTechDoc'23, Ustroń, Kwiecień 19-20, 2023, 2023
47. Strzoda Tomasz, Cruz-Garcia Lourdes, Badie Christophe, Polańska Joanna: How far can we go with sequence shortening in NLP-based mapping of transcriptome data derived from Oxford Nanopore sequencing technology?, W: Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna [i in.] (red.), 2023, Politechnika Śląska, s. 16-16 [Link]
48. Kalisz S, Marczyk M, Fagas R, Polańska J, “A helpful application for scientific literature analysis,” in XXVII Gliwice Scientific Meetings, Gliwice, November 16-17, 2023, 2023, p. 140. [Link]
49. Zyla J, Jelitto-Górska M, Prażuch W, Durawa A, Szurowska E, Dziadziuszko R, Rzyman W, Widłak P, Polanska J: Machine learning model outcome integration for multi-platform data in lung cancer investigation. Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme / Krukiewicz Katarzyna [i in.] (red.), 2023, Politechnika Śląska, s.15-15
50. Kamila Szumala, Joanna Zyla: Effect size for unsupervised pathway enrichment analysis in scRNA-Sequencing. Symposium of the Polish Bioinformatics Society 2023 (PTBI). Book of Abstracts p.33
51. Strzoda Tomasz, Cruz-Garcia Lourdes, Najim Mustafa, Badie Christophe, Polańska Joanna: No-mapping mapping of Oxford nanopore long reads, In: Recent Advances in Computational Oncology and Personalized Medicine. Vol. 3, Crossing borders, connecting science / Krukiewicz Katarzyna [i in.] (eds.), Monografia / Politechnika Śląska, vol. 1019, 2023, Politechnika Śląska, ISBN 978-83-7880-947-0, pp. 60-70
52. Dąbkowski Patryk, Polańska Joanna: Intelligent self-adaptive H&E-stained tissue scan quantisation, In: Recent Advances in Computational Oncology and Personalized Medicine. Vol. 3, Crossing borders, connecting science / Krukiewicz Katarzyna [i in.] (eds.), Monografia / Politechnika Śląska, vol. 1019, 2023, Politechnika Śląska, ISBN 978-83-7880-947-0, pp. 143-152
53. Banaś Agnieszka, Savarese Marco, Tupler Rosella, Polańska Joanna: Transcriptomics-based muscular dystrophy patient stratification with the use of machine learning, In: Recent Advances in Computational Oncology and Personalized Medicine. Vol. 3, Crossing borders, connecting science / Krukiewicz Katarzyna [i in.] (eds.), Monografia / Politechnika Śląska, vol. 1019, 2023, Politechnika Śląska, ISBN 978-83-7880-947-0, pp. 48-59, 20 points
54. Sieradzka Katarzyna, Polańska Joanna: Feature selection methods comparison: logistic regression-based algorithm and neural network tools, In: Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023) / Rocha Miguel[i in.](eds.), Lecture Notes in Networks and Systems, vol. 743, 2023, Springer, ISBN 978-3-031-38078-5, pp. 34-43
55. Szumala Kamila, Polanska Joanna, Zyla Joanna, W: Unsupervised investigation of information captured in pathway activity score in scRNA-Seq analysis. In: Bioinformatics and Biomedical Engineering. 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023. Proceedings, Part 2 / Rojas Ignacio [i in.] (red.), Lecture Notes in Bioinformatics - subseries of Lecture Notes in Computer Science, 2023, vol. 13920, Springer, s.180-192, ISBN 978-3-031-34959-1. DOI:10.1007/978-3-031-34960-7_13
56. Marczyk M, Kujawa T, Papiez A, Polanska J: Single-cell transcriptomics. In Transcriptome Profiling. Progress and Prospects, Ali MA, Lee J, editors. Elsevier & Academic Press, 2023, p. 67-84 (ISBN: 978-0-323-91810-7)
57. Krukiewicz Katarzyna, Marczyk Michał, Ostrowski Ziemowit, Polańska Joanna: (eds.)Computational oncology and personalized medicine - crossing borders, connecting science. COPM2023, Gliwice, April 26th, 2023. Book of abstracts. Conference programme, 2023, Politechnika Śląska