Clinical trials: Predictive Learning Models
Non-small Cell Lung Cancer Metastatic
Predictive Multimodal Signatures Associated With Response to Treatment and Prognosis of Patients With Stage IV Non-small Cell Lung Cancer
Predicting response to therapy and disease progression in stage IV NSCLC patients treated with pembrolizumab monotherapy, chemotherapy-pembrolizumab combination therapy or chemotherapy alone in the first-line setting.
- Trial name
- DEEP-Lung-IV (NCT04994795)
- Testing
- Predictive models (data collection)
- Where
- 30 sites in United States, Brazil and 6 more
- Volunteers
- 4,000 people
- Sponsor
- Sophia Genetics SAS
Spine Disease, Spinal Fusion
Validity and Accuracy of a Machine Learning Predictive Model in the Exploitation of Patients Related Outcomes in Spine Surgery
The objective of the study is the establishment, optimization and prospective evaluation of a digital predictive platform capable of providing for each lumbar spine operated patient a clinical predictive status: Patient green…
- Conditions
- Spine Disease, Spinal Fusion, Surgery, Spine Degeneration
- Trial name
- DeepSurgery (NCT05166018)
- Testing
- SuMO Patient
- Where
- 2 sites in France
- Volunteers
- 174 people
- Sponsor
- Cortexx Medical Intelligence
PHYSIOLOGICAL PHENOMENA, Homeostasis
Truway Whole-Body Digital Twin and Physiologic Resilience Study (TRU-OMNIBODY)
TRU-OMNIBODY is a prospective observational study designed to develop and independently validate a research-only whole-body digital twin.
- Conditions
- PHYSIOLOGICAL PHENOMENA, Homeostasis, Physical Functional Performance, Cardiorespiratory Fitness
- Trial name
- TRU-OMNIBODY (NCT07805044)
- Testing
- Standardized Physiologic Resilience Challenge, Multimodal Whole-Body Physiologic Monitoring, Research-Only Whole-Body Digital Twin Analysis
- Where
- United States
- Volunteers
- 450 people, healthy volunteers welcome
- Sponsor
- Truway Health, Inc.