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1 Summary

Konrad Stawiski is a radiation oncology resident physician and Ph.D. candidate with special interest in data science, machine learning, bioinformatics and radiomics.

2 Employment history

  • 2018 - still: Radiation Oncology Resident Physician, Regional Oncology Centre, Copernicus Memorial Hospital, Lodz, Poland (http://www.roo.kopernik.lodz.pl/)
  • 2017 - 2018: Senior Bioinformatics and Medical Informatics Specialist, Department of Biostatistics and Translational Medicine, Medical University of Lodz, Poland (http://biostat.umed.pl/)
  • 2016 - 2017: Medical Intern, Clinical Hospital of the Ministry of the Interior and Administration, Lodz, Poland (https://www.zozmswlodz.pl/)

3 Education

  • 2016 - now (2020 as expected): Ph.D. student (doctorate), Department of Biostatistics and Translational Medicine (reference: Wojciech Fendler, M.D., Ph.D.; https://biostat.umed.pl)
  • 2010 - 2016: Doctor of Medicine (6-year M.D. Program; grade: very good), Faculty of Medicine, Medical University of Lodz (Poland)

3.1 Internships

  • 2016: ERAMSUS+ research internship at EPSRC Centre For Mathematical And Statistical Analysis Of Multimodal Clinical Imaging, University of Cambridge, Cambridge, UK (reference: Prof. John Aston, Ph.D.)
  • 2015: IFMSA research exchange (6 weeks), Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), Upstate Medical University, Syracuse, NY, USA (reference: Stephen J. Glatt, Ph.D.)
  • 2014: neurosurgical clinical clerkship (3 weeks), University Hospital Southampton NHS Trust, Southampton, UK (reference: Paul Grundy, M.D.)
  • 2013: medical clinical clerkship (4 weeks), Mubarak Al Kabeer Hospital, Kuwait City, Kuwait (reference: Ibrahim T. Lasheen, M.D.)

3.2 Certified courses

  • 2016: “Computational Genomics” (Summer School), Max-Delbrück-Centre for Molecular Medicine, Berlin, Germany
  • 2016: “Fundamentals of Digital Image and Video Processing” (Coursera ID: ULTLWMZSCYEZ), Northwestern University , Evanston, IL, USA

4 Selected awards and scholarships

  • 2016: Scholarship of the City of Lodz for the best Ph.D. students.
  • 2016: Winner of Adzduna’s polish „Graduate of the Year” contest.
  • 2015: Scholarship of Minister of Science and Higher Education & Minister of Health of Republic of Poland for outstanding achievements for students in the academic year 2015/2016;
  • 2015 - 2016: Rector’s Scholarship for the best students of the Medical University for the academic year 2015/2016.
  • 2015: Scholarship of Marshal of the Lodzkie Region (highest degree)
  • 2014 - 2015: Rector’s Scholarship for the best students of the Medical University for the academic year 2014/2015.
  • 2014: Laureate of „Generacja Przyszłości” (Generation of the Future) - student grant program by Minister of Science and Higher Education of Republic of Poland. Project funded: PancreApp.
  • 2014: Distinction in a nationwide competition “Studencki Nobel” (Eng. “Student’s Nobel Prize”).
  • 2014: Special Award for the Youngest Winner of the Session at the conference 10. International & 52. Polish Training & Scientific Medical Congress of Students’ Scientific Societies and Junior Doctors “Juvenes Pro Medicina” 2014 in Łódź (founder: Aldona Ochęcka-Szymańska M.D., Ph.D.)
  • 2013: Scholarship of Minister of Science and Higher Education of Republic of Poland for outstanding achievements for students in the academic year 2013/2014;
  • 2013 - 2014: Rector’s Scholarship for the best students of the Medical University for the academic year 2013/2014.
  • 2012 - 2013 : Rector’s Scholarship for the best students of the Medical University for the academic year 2012/2013.
  • 2012 - 2013 : Rector’s Scholarship for the best students of the Medical University for the academic year 2011/2012.

5 Research

5.1 Grants

  • 2019 - still: NCN PRELUDIUM [ID: UMO-2018/29/N/NZ5/02422], Deep learning-based integration of circulating and cellular miRNAs expression of pancreatic adenocarcinoma., 209 860 PLN [PI]
  • 2014 - 2015: MSW Generacja Przyszłości [ID: MNiSw/2014/DIR/379/GPII], PancreApp: zastosowanie ośmiowymiarowej aproksymacji metodą Sheparda w indywidualizacji zaleceń żywieniowych, ze szczególnym uwzględnieniem przewlekłego zapalenia trzustki, 37 800 PLN [PI]

5.2 Publications

  • Małachowska B, Tomasik B, Stawiski K, Kulkarni S, Guha C, Chowdhury D, Fendler W. Circulating microRNAs as Biomarkers of Radiation Exposure: A Systematic Review and Meta-Analysis. International journal of radiation oncology, biology, physics 2019, ISSN: 1879-355X, doi: S0360-3016(19)33911-2; PubMed ID: 31655196
  • Nowicka Z, Stawiski K, Tomasik B, Fendler W. Extracellular miRNAs as Biomarkers of Head and Neck Cancer Progression and Metastasis. International journal of molecular sciences 2019, ISSN: 1422-0067, doi: E4799; PubMed ID: 31569614 (2017 IF: 3.687, 5-year 2017 IF: 3.878)
  • Bobeff EJ, Posmyk BJ, Bobeff KŁ, Fortuniak J, Wiśniewski K, Stawiski K, Stefańczyk L, Jaskólski DJ. Predicting Outcome and Conservative Treatment Failure in Patients with Skull Fracture after Traumatic Brain Injury: A Retrospective Cohort Study. Journal of neurological surgery. Part A, Central European neurosurgery 2019, ISSN: 2193-6323, doi: 10.1055/s-0039-1692672; PubMed ID: 31466104
  • Zakrzewska M, Gruszka R, Stawiski K, Fendler W, Kordacka J, Grajkowska W, Daszkiewicz P, Liberski PP, Zakrzewski K. Expression-based decision tree model reveals distinct microRNA expression pattern in pediatric neuronal and mixed neuronal-glial tumors. BMC cancer 2019, ISSN: 1471-2407, doi: 10.1186/s12885-019-5739-5; PubMed ID: 31170943 (2017 IF: 3.288, 5-year 2017 IF: 3.679)
  • Bobeff EJ, Fortuniak J, Bryszewski B, Wiśniewski K, Bryl M, Kwiecień K, Stawiski K, Jaskólski DJ. Mortality After Traumatic Brain Injury in Elderly Patients: A New Scoring System. World neurosurgery 2019, ISSN: 1878-8769, doi: S1878-8750(19)31052-6; PubMed ID: 30981800 (2017 IF: 1.924, 5-year 2017 IF: 2.326)
  • Kotlicka-Antczak M, Karbownik MS, Stawiski K, Pawełczyk A, Pawełczyk T, Strzelecki D, Fusar-Poli P. Short clinically-based prediction model to forecast transition to psychosis in individuals at clinical high risk state. European psychiatry : the journal of the Association of European Psychiatrists 2019, ISSN: 1778-3585, doi: S0924-9338(19)30045-8; PubMed ID: 30870626
  • Zmyslowska A, Waszczykowska A, Baranska D, Stawiski K, Borowiec M, Jurowski P, Fendler W, Mlynarski W. Optical coherence tomography and magnetic resonance imaging visual pathway evaluation in Wolfram syndrome. Developmental medicine and child neurology 2018, ISSN: 1469-8749, doi: 10.1111/dmcn.14040; PubMed ID: 30246501 (2017 IF: 3.289, 5-year 2017 IF: 4.033)
  • Pagacz K, Stawiski K, Szadkowska A, Mlynarski W, Fendler W. GlyCulator2: an update on a web application for calculation of glycemic variability indices. Acta diabetologica 2018, ISSN: 1432-5233, doi: 10.1007/s00592-018-1140-0; PubMed ID: 29651558 (2017 IF: 3.126, 5-year 2017 IF: 2.657)
  • Komseli ES, Pateras IS, Krejsgaard T, Stawiski K, Rizou SV, Polyzos A, Roumelioti FM, Chiourea M, Mourkioti I, Paparouna E, Zampetidis CP, Gumeni S, Trougakos IP, Pefani DE, O’Neill E, Gagos S, Eliopoulos AG, Fendler W, Chowdhury D, Bartek J, Gorgoulis VG. A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced senescence. BMC genomics 2018, ISSN: 1471-2164, doi: 10.1186/s12864-017-4375-1; PubMed ID: 29321003 (2017 IF: 3.73, 5-year 2017 IF: 4.257)
  • Elias KM, Fendler W, Stawiski K, Fiascone SJ, Vitonis AF, Berkowitz RS, Frendl G, Konstantinopoulos P, Crum CP, Kedzierska M, Cramer DW, Chowdhury D. Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer. eLife 2017, ISSN: 2050-084X, doi: 10.7554/eLife.28932; PubMed ID: 29087294 (2017 IF: 7.616, 5-year 2017 IF: 8.508)
  • Puła A, Stawiski K, Braun M, Iskierka-Jażdżewska E, Robak T. Efficacy and safety of B-cell receptor signaling pathway inhibitors in relapsed/refractory chronic lymphocytic leukemia: a systematic review and meta-analysis of randomized clinical trials. Leukemia & lymphoma 2017, ISSN: 1029-2403, doi: 10.1080/10428194.2017.1375101; PubMed ID: 28891366 (2017 IF: 2.644, 5-year 2017 IF: 2.493)
  • Stawiski K, Pietrzak I, Młynarski W, Fendler W, Szadkowska A. NIRCa: An artificial neural network-based insulin resistance calculator. Pediatric diabetes 2017, ISSN: 1399-5448, doi: 10.1111/pedi.12551; PubMed ID: 28626972 (2017 IF: 3.161, 5-year 2017 IF: 3.407)
  • Stawiski K, Trelińska J, Baranska D, Dachowska I, Kotulska K, Jóźwiak S, Fendler W, Młynarski W. What are the true volumes of SEGA tumors? Reliability of planimetric and popular semi-automated image segmentation methods. Magma (New York, N.Y.) 2017, ISSN: 1352-8661, doi: 10.1007/s10334-017-0614-3; PubMed ID: 28321524
  • Trelinska J, Dachowska I, Baranska D, Stawiski K, Kotulska K, Fendler W, Jozwiak S, Mlynarski W. Maintenance therapy with everolimus for subependymal giant cell astrocytoma in patients with tuberous sclerosis (the EMINENTS study). Pediatric blood & cancer 2016, ISSN: 1545-5017, doi: 10.1002/pbc.26347; PubMed ID: 27860334 (2017 IF: 2.646, 5-year 2017 IF: 2.58)
  • Dziki NA, Puła A, Stawiski K, Mudza B, Włodarczyk M, Dziki A. Patients’ Awareness Of The Prevention And Treatment Of Colorectal Cancer. Polski przeglad chirurgiczny 2016, ISSN: 2299-2847, doi: 10.1515/pjs-2015-0088; PubMed ID: 26812841
  • Stawiski K, Strzałka A, Puła A, Bijakowski K. PancreApp: An Innovative Approach to Computational Individualization of Nutritional Therapy in Chronic Gastrointestinal Disorders. Studies in health technology and informatics 2015, ISSN: 1879-8365, doi: NA; PubMed ID: 26262064

See the details on PubMed: http://link.konsta.com.pl/pubmed

5.3 Invited lectures

  • 2019: “Nauczanie głębokie jako technika zwiększania skuteczności biomarkerów molekularnych”, IX Zjazd Polskiego Towarzystwa Radioterapii Onkologicznej, Łódź, Poland [polish].
  • 2018: “Data mining for discovery of ovarian cancer signature in miRNAs serum profile”, Elias Lab Meeting at Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Boston, USA.
  • 2018: “Od anatomii do sztucznej inteligencji w onkologii.”, Konferencja “I’m gonna be a scientist”, Łódź, Poland [polish].

5.4 Commercial clinical trials

5.5 Conference papers

5.5.1 Professional conferences

  • 2019: Kuncman L, Stawiski K, Masłowski M, Wilczyńska J, Bury J, Fijuth F. FT3-L Dynamics in Blood Could be Predictive of Time of Occurrence Lymphocyte Nadir in Patients Undergoing Preoperative Chemoradiotherapy for Rectal Cancer. ASTRO 61st Annual Meeting 2019, 15-18.09.2019, Chicago, IL, USA.
  • 2018: Tomasik B, Stawiski K, Nowicka Z, Fijuth J, Fendler W. Dynamic Monitoring Of Serum Circulating microRNAs As A Biomarker Of Xerostomia In Oropharyngeal Cancer Patients Undergoing Radiotherapy. Gliwice Scientific Meetings 2018, 16-17.11.2018, Gliwice, Poland.
  • 2018: Stawiski K, Chowdhury D, Fendler W. Complex artificial neural network model for diagnosis of pancreatic cancer based on multiple circulating miRNAs – a pilot study. Gliwice Scientific Meetings 2018, 16-17.11.2018, Gliwice, Poland.
  • 2018: Małachowska B, Tomasik B, Stawiski K, Chowdhury D, Fendler W. Circulating microRNAs as Biomarkers of Radiation Exposure – a systematic review and meta-analysis. Gliwice Scientific Meetings 2018, 16-17.11.2018, Gliwice, Poland.
  • 2018: Małachowska B, Tomasik B, Stawiski K, Fendler W. Circulating microRNAs as biomarkers of irradiation – a systematic review and meta-analysis. Polish Scientific Network: Science & Medicine, 21-23.06.2018, Łódź, Poland.
  • 2017: Puła A, Stawiski K, Braun M, Iskierka-Jazdzewska E, Robak T. A systematic Review and Meta-Analysis of B-cell Receptor Signaling Inhibitors