Learning representations of cell morphology and their applications to analysis of perturbations with multi-modal data and cancer personalised medicine  Page description

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Details of project

  
Identifier
146881
Type PD
Principal investigator Moshkov, Nikita
Title in Hungarian A sejtmorfológiai leírók tanítása és alkalmazása multimodális adatok perturbációs elemzésére, valamint a rák személyre szabott gyógyításában
Title in English Learning representations of cell morphology and their applications to analysis of perturbations with multi-modal data and cancer personalised medicine
Keywords in Hungarian kép-alapú profilalkotás, sejtmorfológia, gyógyszerkutatás, szövettan, daganatos betegségek
Keywords in English image-based profiling, cell morphology, drug discovery, histopathology
Discipline
Computational biology (Council of Medical and Biological Sciences)70 %
Experimental pharmacology, drug discovery and design (Council of Medical and Biological Sciences)20 %
Automation and Computer Science (Council of Physical Sciences)10 %
Panel Genetics, Genomics, Bioinformatics and Systems Biology
Department or equivalent Institute of Biochemistry (HUN-REN Biological Research Centre Szeged)
Starting date 2024-01-01
Closing date 2026-12-31
Funding (in million HUF) 30.000
FTE (full time equivalent) 2.40
state running project




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