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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology

Fig. 3

Screenshots illustrating the presentation of patient-specific TKI-treatment response dynamics in CML. Patient-identifying data (name, birth data etc.) have been changed to artificial values to ensure anonymity. A) Annotated graphical representation of data. 1) Visualization of BCR-ABL1 levels, i.e. molecular response in the peripheral blood (blue dots). 2) This information can be optionally complemented by further therapy details, i.e. TKI type / dose (coloured / annotated bar on top of diagram) or clinical target levels, e.g. as suggested by clinical guidelines (green shaded area). 3) Menu for accessing further patient-specific clinical information, e.g. further diagnostic parameters, therapies, diagnoses. B) Data as shown in panel A, complemented by model predictions for BCR-ABL1 levels in peripheral blood (red line) with corresponding pointwise 95% confidence intervals and by predicted remission levels of leukaemic stem cells in the bone marrow (green line). The latter prediction relates to a cell cycle inactive (“TKI-protected”) subpopulation of leukaemic stem cells

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