Further articles
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…
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…
A smart textile as an alternative to plaster molding
To start the design of an orthosis or of a prosthesis, orthopedists commonly use plaster casting to acquire the patient’s limb shape. The rest of the design workflow is so far already digital. However, the limb shape acquisition is still analog, wet, inaccurate and time consuming. The Swiss startup BellwaldTec…
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…
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…
ICU Cockpit – Learning from Real-time Data Streams in the Intensive Care Unit
In today’s intensive care units (ICUs), biosensors collect up to 100 GB of data per patient every day. These vast amounts of data are only valuable if they lead to better patient outcomes. The following questions arise:How can medical staff gain insights from this data?How can risk constellations be identified as early as…
Model-based signal processing for fast computations on sensor signals in biology
Model-based signal processing approaches often form the missing link between raw sensor data and sophisticated machine learning methods. To provide state-of-the-art algorithms in this area, FHNW/HLS recently launched the open source project lmlib.ch. In this presentation we will give a short insight into the project with some…