Prospective and retrospective clinical data collected on thousands of patients to validate Paeon models and software
Paeon collected a massive amount of prospective and retrospective clinical data. Such data have been used throughout the project in order to validate the Paeon models (that is the Paeon VPH model and associated Virtual Patients and Virtual Doctors defining fertility treatments in use at University Hospital Zurich) as well as the software services within the Paeon Virtual Hospital.
Data have been collected both from untreated patients and from patients under fertility treatments, as a result of both the great commitment of Paeon partner hospitals (University Hospital Zurich and Hannover Medical School) and an intense networking activity with two other top-level fertility centres, University Hospital Lausanne and University Hospital Basel. Overall, Paeon collected data about thousands of patients.
Paeon acquired prospective as well as retrospective data about untreated patients (hence, natural menstrual cycles), as shown in the figure.
For each monitored menstrual cycle, values of several hormones and patient external factors have been collected.
Such data have been provided by the two Paeon partner hospitals, University Hospital Zurich and Hannover Medical School. Additional data about 40 patients have been kindly provided by University Hospital Lausanne, as a result of the project networking activities.
Paeon also acquired prospective as well as retrospective data for patients under a fertility treatment, as shown in the figure.
Also in this case, beyond data provided by the two Paeon partner hospitals (University Hospital Zurich and Hannover Medical School), the Paeon Consortium was able to acquire a massive database, kindly provided by University Hospital Basel, containing hormone, follicle measurements, external factors and anamneses for thousands of patients treated in Basel in many years.
Paeon unified all the data collected during its activities into a single, general and flexible database, which has been widely exploited to tune and validate the Paeon VPH model, the Virtual Doctors defined in the project as well as the Paeon software services.