New publication in PLOS Digital Health

Researchers from the IMB have published a new article "Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions" in the journal PLOS Digital Health.

The article describes a generic software framework that enables the backward propagation of research findings in the form of computer simulations and model predictions into clinical care to support clinical decision-making by treating physicians. In principle, any computer model or algorithm developed in research can be integrated into the software framework.

For demonstration purposes, a web application was developed that is equipped with two mathematical models from the field of haematology (specifically chronic myeloid leukaemia).

Both models calculate the recurrence probability of leukaemia in a given patient after the planned cessation of the applied therapy. The respective prediction is based on patient-specific, molecular diagnostic data and can be used for personalized therapy optimization.

The web application allows the calculation of patient-specific predictions based on comprehensive, quality-assured medical data and makes it possible to retrieve and visualize them directly at the patient's bedside. Such approaches can be used for diagnosis, risk assessment or to select the optimal treatment strategy for a specific patient. 

The work was carried out as part of the "prediCt" project (BMBF).

Link to the publication: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000140