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Kontakt:
Maksymilian Szymczak
Widok zawartości stron
Widok zawartości stron
Widok zawartości stron
Widok zawartości stron
Widok zawartości stron
Machine Learning for cancer detection based on chemical imaging / Nanoscale chemical imaging of selected biomedical samples (Supervisor: dr hab. Tomasz P. Wrobel)
Project description
1st Project description: This project focuses on the development of proper Machine Learning approacheswith IR imaging as a tool for cancer understanding and diagnosis of cancer. The aim is to create label-free, non-destructive and highly accurate comprehensive histopathological models of pancreatic and breast cancers. IR imaging at the tissue level offers a wealth of information and proper processing is crucial for creating robust classification models, which can be relevant for the clinician. The specific goals will include FT-IR data acquisition on the newly built SOLAIR beamline, creation of machine learning models and optimization in terms of accuracy vs. robustness.
2nd Project description: This project focuses on creating appropriate experimental approaches for biomedical sample preparation and measurements in the nanoscale. AFM based IR imaging is a new sub-field of IR imaging and presents new challenges for single cells or biomaterials characterization. This project will be primarily focused on developing a protocol for sample handling and measurements. Once this is established a series of cell lines representative of civilization diseases will be studied along with the effects of drugs. The specific goals will include AFM-IR data acquisition on the newly built SOLAIR beamline, cell cultures and data handling.
To make the application process fast and easy, please follow the rules. Please send your application documents through the Online Application System at: https://irk.uj.edu.pl/en-gb/
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