Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Deep learning-based integration of circulating and cellular miRNAs expression of pancreatic cancer.

2018/29/N/NZ5/02422

Keywords:

miRNA oncology pancreatic cancer artificial intelligence artificial neural networks deep learning modelling data mining machine learning transfer learning

Descriptors:

  • ST6_13: Bioinformatics, biocomputing, DNA and molecular computation
  • NZ2_7: Bioinformatics
  • NZ5_5: Diagnostics in human diseases

Panel:

NZ5 - Human and animal noninfectious diseases: etiology, mechanisms, diagnosis and treatment of diseases, poisonings and injuries (without neurological diseases)

Host institution :

Uniwersytet Medyczny w Łodzi, Wydział Lekarski

woj. łódzkie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Konrad Stawiski 

Number of co-investigators in the project: 3

Call: PRELUDIUM 15 - announced on 2018-03-15

Amount awarded: 209 860 PLN

Project start date (Y-m-d): 2019-03-21

Project end date (Y-m-d): 2022-12-20

Project duration:: 45 months (the same as in the proposal)

Project status: Project settled

Project description

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Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  • Book publications / chapters in book publications (1)
  1. Extracellular miRNAs as Biomarkers of Head and Neck Cancer Progression and Metastasis
    Authors:
    Zuzanna Nowicka, Konrad Stawiski, Bartłomiej Tomasik, Wojciech Fendler
    Academic press:
    International Journal of Molecular Sciences (rok: 2019, tom: 19, strony: 4799), Wydawca: MDPI (Basel, Switzerland)
    Status:
    Published
    DOI:
    10.3390/ijms20194799 - link to the publication
  2. OmicSelector: automatic feature selection and deep learning modeling for omic experiments.
    Authors:
    Konrad Stawiski, Marcin Kaszkowiak, Damian Mikulski, Piotr Hogendorf, Adam Durczyński, Janusz Strzelczyk, Dipanjan Chowdhury, Wojciech Fendler
    Academic press:
    International Journal of Molecular Sciences (rok: 2022, tom: -, strony: -), Wydawca: MDPI
    Status:
    Submitted
    DOI:
    10.1101/2022.06.01.494299 - link to the publication
  3. Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non–muscle-invasive Bladder Cancer
    Authors:
    Mateusz Jobczyk, Konrad Stawiski, Marcin Kaszkowiak, Paweł Rajwa, Waldemar Rożański, Francesco Soria, Shahrokh F. Shariat, Wojciech Fendler
    Academic press:
    European Urology Oncology (rok: 2022, tom: 5, strony: 109-112), Wydawca: Relx
    Status:
    Published
    DOI:
    10.1016/j.euo.2021.05.006 - link to the publication
  4. Validation of EORTC, CUETO, and EAU risk stratification in prediction of recurrence, progression, and death of patients with initially non–muscle‐invasive bladder cancer (NMIBC): A cohort analysis
    Authors:
    Mateusz Jobczyk, Konrad Stawiski, Wojciech Fendler, Waldemar Różański
    Academic press:
    Cancer Medicine (rok: 2020, tom: 9, strony: 4041-4025), Wydawca: John Wiley & Sons, Inc
    Status:
    Published
    DOI:
    10.1002/cam4.3007 - link to the publication
  1. Głębokie sztuczne sieci neuronowe w integracji profilu ekspresji krążących i wewnątrzkomórkowych cząsteczek miRNA pacjentów z rakiem trzustki.
    Authors:
    Konrad Stawiski
    Book:
    Rozprawa na stopień doktora nauk medycznych. Głębokie sztuczne sieci neuronowe w integracji profilu ekspresji krążących i wewnątrzkomórkowych cząsteczek miRNA pacjentów z rakiem trzustki. (rok: 2022, tom: -, strony: -), Wydawca: -
    Status:
    Published

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