Projects funded by the NCN
A machine learning usage to predict venetoclax efficacy and toxicity in chronic lymphocytic leukemia.
2024/53/N/NZ7/01586
Keywords:
machine learning chronic lymphocytic leukemia treatment outcomes prediction prognostic factors algorithms
Descriptors:
- NZ7_16:
- ST6_07:
- NZ5_07:
Panel:
NZ7 - Diagnostic tools, therapies and public health: public health, epidemiology, environmental health risks and occupational medicine, medical ethics, drug discovery and therapies, pharmacology
Host institution :
Warszawski Uniwersytet Medyczny
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 23 - announced on 2024-03-21
Amount awarded: 208 437 PLN
Project start date (Y-m-d): 2025-02-05
Project end date (Y-m-d): 2028-02-04
Project duration:: 36 months (the same as in the proposal)
Project status: Pending project
Project description
Download the project description in a pdf file
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
- Articles in post-conference publications (1)
- 033 A machine learning usage to predict venetoclax efficacy and toxicity in chronic lymphocytic leukemia — study design and methodologyAuthors:Dorota Kruk-Kwapisz, Aleksandra Bilska, Klaudia Zielonka, Krzysztof JamroziakConference:32nd Congress of Polish Society of Hematologists and Transfusiologists. Abstracts (rok: 2025, tom: 2nd Congress of Polish Society of Hematologists and Transfusiologists, strony: 60), Wydawca: Acta Haematologica PolonicaData:konferencja 23-25.10.2025Status:PublishedDOI:10.5603/ahp - link to the publication