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: Other related subjects
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
- NZ5_7: Human disease treatment
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.
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
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