Urologic Diseases
Conditions
Brief summary
Prospectively, all available parameters of urologic patients treated at the study sites will be acquired and stored in multilayered databases. Upon a given samples size, neuronal networks will be trained to define clinical endpoints. Beside uro-oncological patients also patients with other urological diseases will be enrolled.
Interventions
OTHERStandard of care
Patients are treated according to the standard of care for each individual disease.
Sponsors
Hospital Centre Biel/Bienne
Insel Gruppe AG, University Hospital Bern
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* All patients treated at the study sites, signed informed consent
Exclusion criteria
* No consent to record medical history
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Disease specific primary endpoint | 4-5 years | Neuronal networks will be trained to define the respective endpoints for the diseases |
Countries
Switzerland
Contacts
Primary ContactRoland Seiler, Prof.
Outcome results
None listed