Early Screening for Multiple Myeloma Based on Liquid Biopsy cfDNA Fragmentomics
NCT07684274 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 290
Last updated 2026-07-06
Summary
Study on Early Screening of Myeloma Based on Liquid Biopsy cfDNA Fragmentomics Technology. This study aims to construct and validate a set of machine learning models for the early screening of myeloma tailored to the Chinese population, based on plasma cfDNA fragmentomics features, to effectively distinguish myeloma patients from healthy individuals.
Conditions
- Multiple Myeloma (MM)
- Smoldering Multiple Myeloma (SMM)
- MGUS
Sponsors & Collaborators
-
Nanjing Geneseeq Technology Inc.
collaborator INDUSTRY -
The First Affiliated Hospital with Nanjing Medical University
lead OTHER
Eligibility
- Min Age
- 40 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-06-13
- Primary Completion
- 2027-07-31
- Completion
- 2027-12-31
More Related Trials
-
Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
NCT07124754 ·Status: RECRUITING
-
Validation of a Multitask Deep Learning System at Spine Metastasis CT
NCT05156567 ·Status: COMPLETED
-
Predicting Tumor Origin Based on Deep Learning of Lymph Node Puncture Cytology
NCT06810349 ·Status: RECRUITING
-
CT Body Composition Enhances Survival Risk Stratification
NCT07109271 ·Status: COMPLETED
-
Development of a Predictive Model for Gastric Cancer Peritoneal Metastasis and Cachexia Using BUB1 and Radiopathomics Data With Deep Learning
NCT06858644 ·Status: NOT_YET_RECRUITING
-
Prospective Real-World Study of Multimodal AI
NCT07269236 ·Status: ENROLLING_BY_INVITATION
-
AI-assisted Diagnosis of Malignant Brain Tumors
NCT07198256 ·Status: RECRUITING
-
Retrospective Pathology Foundation Models
NCT07239297 ·Status: ENROLLING_BY_INVITATION
-
Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
NCT06517979 ·Status: RECRUITING
-
Characterization of Multi-Omics Landscapes and AI Pathological Prediction Model for Long-Term Survival in NSCLC Immunotherapy
NCT07668037 ·Status: RECRUITING
-
PMRA and Shapley-Based Machine Learning for Predicting Lymph Node Metastasis in Central Subregions of Clinically Node-Negative Papillary Thyroid Microcarcinoma: a Prospective Multicenter Validation and Development of a Web Calculator
NCT06871956 ·Status: COMPLETED
-
Study on the Staging and Prognosis Model of Bladder Cancer
NCT06565923 ·Status: ACTIVE_NOT_RECRUITING
-
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning
NCT05624736 ·Status: UNKNOWN
-
Multimodal Deep Learning Model Predicts Pancreatic Cancer Prognosis
NCT06760234 ·Status: COMPLETED
-
Clinical Application Value of Deep Learning-Based "Opportunistic Screening" for Malignant Tumors on Routine Non-Contrast Chest-Abdomen-Pelvis CT
NCT07639567 ·Status: NOT_YET_RECRUITING
-
A Study on Predicting the Risk of Distant Metastasis in Breast Cancer Using AI-Generated Spatial Pathological Maps
NCT07244094 ·Status: RECRUITING
-
Prospectively Predict the Immunotherapy Response of Gastric Cancer Based on Circulating Exosomal LncRNA-GC1 Biopsy
NCT05334849 ·Status: COMPLETED
-
Artificial Intelligence-assisted Screening of Malignant Pigmented Tumors on the Ocular Surface
NCT05645341 ·Status: COMPLETED
-
Dual-tracer PET Radiomics for Prostate Cancer Stratification
NCT07655648 ·Status: COMPLETED
-
Prognostic Value of TIL in Nasopharyngeal Carcinoma
NCT06763640 ·Status: ENROLLING_BY_INVITATION
-
Prospective Pathology Foundation Models
NCT07157618 ·Status: RECRUITING
-
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
NCT06822413 ·Status: RECRUITING
-
Machine Learning to Analyze Facial Imaging, Voice and Spoken Language for the Capture and Classification of Cancer/Tumor Pain
NCT04442425 ·Status: COMPLETED
-
AI-Based DeepGEM Tool for Predicting Gene Mutations in NSCLC Patients: A Randomized Controlled Study
NCT07110259 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Artificial Intelligence Neuropathologist
NCT05300113 ·Status: UNKNOWN