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Master Thesis in a company fora EU project_Development of a Artificial intelligence algorithm for the evaluation of metastasis development
Thesis in external company
keywords ARTIFICIAL INTELLIGENCE, BIG DATA ANALYSIS, BIOMEDICAL ENGINEERING, DIGITAL WELLBEING, MACHINE LEARNING, PROGRAMMING LANGUAGES
Reference persons VALENTINA ALICE CAUDA
External reference persons Ing. Andrea Ancona (ancona@u-caremedical.com)
Ing. Francesca alfieri (alfieri@u-caremedical.com)
Research Groups AA - Materials and Processes for Micro and Nano Technologies
Thesis type SOFTWARE DEVELOPMENT, SOFTWARE SPERIMENTALE
Description Cancer metastasis is the leading cause of death within tumor disease and is currently an unmet clinical need. This dramatic clinical evidence requires prompt action in terms of early diagnosis and then pre-emptive therapies, not only for the primary tumor, but especially at the first stages of metastasis formation. Metastasis is the result of a complex mechanism, still under study, which involves the trafficking of biological materials, in particular extracellular vesicles (EVs), from the primary tumor site towards other tissues.
The present Master Thesis is inserted in the framework of the European project AI CUrES and in collaboration with the company U-Care Medical, an innovative start up of the Politecnico of Turin. The project aims to propose novel methodologies for early diagnosis of metastasis, by gaining new knowledge at the early stage of their formation with a real-time and possibly predictive approach.
During the thesis, the candidate will obtain from the research team high-resolution multi-modal images of nanoparticles and of a specific entity involved in the metastasis development (extracellular vesicles or EVs), here in particular from a colorectal cancer, to be elaborated according to artificial intelligence algorithms. After analyzing, processing and refining images, the aim is to create a useful dataset and to monitor their trafficking in biological media towards recipient tissues and approach step by step the complexity of real human environment. This work has the future vision of predicting possible oncological patient’s outcomes and helping to set timely pre-emptive therapies.
More infos dedicated on the project AI Cures are available here: https://www.tnhlab.polito.it/aicures-project/
Required skills • Candidate in Engineering Master, preferably Informatics, eklectronic or Biomedical Engineering
• Competences in neural network programming, machine learning;
Phyton software;
• Database management, SQL
• Strong motivation and interest to inovation and health topics
Notes Prof. Valentina Cauda leads the TrojaNanoHorse Lab with a research team of almost 20 people at DISAT (here more details: https://www.tnhlab.polito.it/) and is co-funder of the start-up U-Care Medical https://u-caremedical.com/
Deadline 07/10/2023
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