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Nijsse, Paul (author)Myeloproliferative Neoplasms (MPNs) are a group of bone marrow diseases with potentially lethal cardio-vascular complications. Two sub-diseases of MPN are Essential Thrombocytosis (ET) and Polycythemia Vera (PV), which are recognised by an abnormal blood count of respectively thrombocytes and red blood cells.<br/><br/>If an MPN is treated...master thesis 2023
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Patalay, Prathamesh (author)PROBLEM<br/>Foundation Models are emerging as a new paradigm in AI research &<br/>commercialisation. While this opens up possibilities for radically innovative<br/>solutions and significant value creation, startups are challenged with finding<br/>unique & differentiated ways to leverage the technology, while simultaneously<br/>mitigating...master thesis 2023
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Frassini, Emanuele (author)In our research, we have made a significant advancement in predicting the clinical outcome of high-risk non-muscle invasive bladder cancer (HR-NMIBC) by combining clinicopathological data with image-related features. This integrated approach has shown remarkable improvements in the accuracy of artificial intelligence techniques for outcome...master thesis 2023
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Spengler, Daniel (author)The study of tumor microenvironments (TMEs) and immune cell composition in cancer, a disease characterized by uncontrolled growth and spread of tumor cells, has become increasingly important for understanding tumor progression and patient outcomes. Tools such as the TME-Analyzer enable this kind of research, but their manual workflows highlight...master thesis 2023
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Yoon, Ahhyun (author)Demand for machine learning is ever-growing in today’s business. Situated at the convergence point of big data and Artificial Intelligence (AI), machine learning allows companies not only to unlock hidden insights from the data deluge but also to fundamentally revolutionize their products and services. Recognizing the opportunities, industrial...master thesis 2019