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Medicine

Patient Journey Analysis for Medical Knowledge Discovery and Clinical Decision Making

Physicians use their clinical experience to identify patterns (such as symptoms) that are common among a group of patients, leading to treatment strategies. However, rather than having to base judgement on  few patients, digital medical information allows the inspection of data from thousands if not Millions of patients at the same time. In…

Medicine

WebJazz – Long-term Evolution of Multiple Sclerosis in the Browser

The progression of multiple sclerosis (MS) is characterized by the evolution of brain lesions. Traditionally, neuroradiologists need to manually track and compare a large number of lesions in MRI images over multiple exams. Novel AI methods support this process, by automating the detection, localization, and quantification of lesions. WebJazz is a web application that makes…

Biology, Medicine

Systematic meta-analysis revealing a potential for targeted and personalized cancer therapeutics

The use of many anticancer drugs is problematic due to severe adverse effects. While the recent clinical launch of several kinase inhibitors led to tremendous progress, these targeted agents tend to be of non-specific nature within the kinase target class. A future strategy will be the development of nanocarrier-based systems…

Biology, Medicine

Clinical, Laboratory and Multi-Omics Data to Leverage Machine Learning for Personalized Diagnostics

Early and accurate disease diagnosis is crucial for stopping disease progression and identifying appropriate treatments, but precise diagnosis of autoimmune disease is notoriously challenging due to the non-specific symptoms: it can take 4 to 5 years and multiple visits to various physicians. However, an early and precise disease diagnosis is…

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