Clinical trial · Observational
Application of Quantum Detection-Driven Artificial Intelligence Algorithms for Single-Molecule cfDNA Characterization in the Early Diagnosis of Prostate Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This research project aims to develop a novel blood testing method integrating cutting-edge quantum sensing and artificial intelligence technologies to achieve precise, non-invasive early diagnosis of prostate cancer. The research will employ quantum sensors to perform ultra-high-sensitivity measurements of circulating free DNA (cfDNA) in blood, thereby training a dedicated AI diagnostic model. The ultimate objective is to establish the diagnostic efficacy of this approach through clinical validation, providing clinicians with a novel diagnostic tool capable of significantly reducing unnecessary prostate biopsy procedures.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Benign Prostate Hypertrophy(BPH) | Benign Prostatic Hyperplasia | ALIAS | 0.85 |
| Prostate Cancer (Diagnosis) | Malignant Prostate Neoplasm | CURATED_EXACT | 0.85 |
| Prostate Neoplasm | Prostate Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Quantum Detection | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- Retrospective Testing Cohort
- interventionNames
- Diagnostic Test: Quantum Detection
- label
- Prospective Internal Validation Cohort
- interventionNames
- Diagnostic Test: Quantum Detection
- label
- Prospective external Validation Cohort
- interventionNames
- Diagnostic Test: Quantum Detection
Primary outcomes (3)
- measure
- Area under the receiver operating characteristic curve (AUC-ROC) for the predictive model in the general population for prostate cancer.
- timeFrame
- Through primary completion which may take 12 months.
Eligibility
Eligibility (as posted)
- Sex
- Male
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: 1. Male, aged 18-80 years; 2. PSA \> 4 ng/ml; 3. Patients meeting criteria for prostate biopsy: * fPSA/PSA \< 0.16 or PSA D \> 0.15 or PSA V \> 0.75; ② Positive digital rectal examination (DRE); ③ Imaging studies (ultrasound/MRI) showing suspicious lesions. Exclusion Criteria: 1. Patients diagnosed with any malignant tumour within the past five years; 2. Patients who have undergone transurethral resection or enucleation of the prostate; 3. Patients who have previously received treatment for prostate cancer, including but not limited to endocrine therapy, targeted therapy, or immunotherapy; 4. Patients on long-term anticoagulant or antiplatelet therapy (anticoagulants discontinued for less than one week); 5. Patients who have received any form of tumour treatment prior to enrolment blood sampling, including surgery, radiotherapy/chemotherapy, endocrine therapy, targeted therapy, or immunotherapy; 6. Concurrent severe systemic diseases deemed by the investigator likely to interfere with trial treatment, evaluation, or compliance, including serious respiratory, circulatory, neurological, psychiatric, gastrointestinal, endocrine, immunological, or urological disorders; 7. Organ transplant recipients or individuals with prior non-autologous (allogeneic) bone marrow or stem cell transplantation; 8. Subjects who have undergone blood transfusion within one month prior to blood sampling; 9. Patients currently participating in other clinical trials, or who have participated in other clinical trials within the past year; 10. Patients deemed unsuitable for this clinical trial by the investigator; 11. Patients meeting any of the above criteria shall not be eligible for inclusion as subjects.
References
Publications (0)
Data not yet available