Application of Quantum Detection-Driven Artificial Intelligence Algorithms for Single-Molecule cfDNA Characterization in the Early Diagnosis of Prostate Cancer
Application of Quantum Detection-Driven Artificial Intelligence Algorithms for Single-Molecule cfDNA Characterization in the Early Diagnosis of Prostate Cancer
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.
Inclusion Criteria:
Male, aged 18-80 years;
PSA > 4 ng/ml;
Patients meeting criteria for prostate biopsy:
Exclusion Criteria:
renshancheng@gmail.com86021-81886999
Beijing, Beijing Municipality 100021, China
liufei_2359@163.com86010-87787170
sveong@163.com86020-83062114
pengkaoqing@163.com
sdfyy_hyh@163.com860512-65223637
wycleflue@scu.edu.cn86028-855422114
13967810448@126.com860574-87085588