Actively Recruiting
Predicting Cancer Risk With Digital and Molecular Markers
Led by University of Erlangen-Nürnberg Medical School · Updated on 2025-05-08
1250
Participants Needed
1
Research Sites
63 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this study is to identify new markers to predict the risk of developing cancer, primarily breast cancer. For this purpose, researchers will compare data obtained from cancer patients and healthy individuals. If characteristic differences are identified, e.g. in biomarkers, life style or family history, this may indicate a person's increased risk of developing cancer.
CONDITIONS
Official Title
Predicting Cancer Risk With Digital and Molecular Markers
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Biological adult (at least 18 years old) women
- Written informed consent for study participation and data processing
- Own a smartphone capable of running the BayPass mobile application and are willing to use it for the study
- For case group: Have a current or previous diagnosis of breast, lung, colorectal, or gynecologic cancer (including ovarian, endometrial, cervical, fallopian tube, vaginal, or vulvar cancer)
You will not qualify if you...
- Known infection with HIV, Hepatitis A, B, C, or active SARS-CoV2 infection
- Acute severe or potentially life-threatening illness, except cancers listed in inclusion criteria
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
DigiOnko Präventionsmobil
Please Refer to Project Homepage For Details (see Link Below), Bavaria, Germany
Actively Recruiting
Research Team
P
Peter A. Fasching, Prof. Dr. med.
CONTACT
H
Hanna Hübner, PD Dr. rer. nat.
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
FACTORIAL
Primary Purpose
PREVENTION
Number of Arms
2
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