{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=11",
    "query": {
      "condition": "Machine Learning",
      "page": 11
    },
    "page_size": 10
  },
  "pagination": {
    "page": 11,
    "page_size": 10,
    "total_count": 256,
    "total_pages": 26,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=12&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=10&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-27T13:26:49.837Z",
  "attribution": "Data derived from public ClinicalTrials.gov records. The official record at https://clinicaltrials.gov/ remains the source of truth for current availability, contacts, and full study details.",
  "notes": [
    "This endpoint exposes only public summary fields — no participant contact emails, phone numbers, or scraped investigator contact details.",
    "For contact information and full protocol detail, follow each trial's `official_url` to the ClinicalTrials.gov record.",
    "This API is a navigational aid. It does not provide medical advice, eligibility determinations, or compensation guarantees."
  ],
  "trials": [
    {
      "nct_id": "NCT04400435",
      "title": "Detection of Heart Conditions With Single Lead ECG Using Artificial Intelligence",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Left Ventricular Dysfunction"
      ],
      "interventions": [
        {
          "name": "Use of Eko DUO electronic stethoscope",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Eko Devices, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 1258,
      "start_date": "2020-07-15",
      "completion_date": "2022-04-29",
      "has_results": false,
      "last_update_posted_date": "2022-12-09",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 3,
      "location_summary": "Los Alamitos, California • Washington D.C., District of Columbia • Philadelphia, Pennsylvania",
      "locations": [
        {
          "city": "Los Alamitos",
          "state": "California"
        },
        {
          "city": "Washington D.C.",
          "state": "District of Columbia"
        },
        {
          "city": "Philadelphia",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04400435"
    },
    {
      "nct_id": "NCT06065319",
      "title": "Wearables and Cardiac Rehabilitation",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cardiac Rehabilitation"
      ],
      "interventions": [
        {
          "name": "Wearable Sensors",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Texas A&M University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 18,
      "start_date": "2023-10-01",
      "completion_date": "2024-10-01",
      "has_results": false,
      "last_update_posted_date": "2024-09-23",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 2,
      "location_summary": "Austin, Texas • College Station, Texas",
      "locations": [
        {
          "city": "Austin",
          "state": "Texas"
        },
        {
          "city": "College Station",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06065319"
    },
    {
      "nct_id": "NCT05692830",
      "title": "Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Alcohol Drinking",
        "Alcohol Intoxication"
      ],
      "interventions": [
        {
          "name": "Alcohol",
          "type": "DRUG"
        }
      ],
      "intervention_types": [
        "DRUG"
      ],
      "sponsor": "University of Illinois at Urbana-Champaign",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "21 Years and older"
      },
      "enrollment_count": 240,
      "start_date": "2022-10-22",
      "completion_date": "2027-09-01",
      "has_results": false,
      "last_update_posted_date": "2025-08-06",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 1,
      "location_summary": "Champaign, Illinois",
      "locations": [
        {
          "city": "Champaign",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05692830"
    },
    {
      "nct_id": "NCT05254834",
      "title": "The Vallania Study: A Case Control Study for the Development of Multiomics Blood Tests for Cancer Screening",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Cancer"
      ],
      "interventions": [
        {
          "name": "Freenome Test",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Freenome Holdings Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "30 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "30 Years and older"
      },
      "enrollment_count": 7435,
      "start_date": "2022-02-15",
      "completion_date": "2025-07-12",
      "has_results": false,
      "last_update_posted_date": "2025-08-22",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 68,
      "location_summary": "Birmingham, Alabama • Scottsdale, Arizona • Springdale, Arkansas + 62 more",
      "locations": [
        {
          "city": "Birmingham",
          "state": "Alabama"
        },
        {
          "city": "Birmingham",
          "state": "Alabama"
        },
        {
          "city": "Scottsdale",
          "state": "Arizona"
        },
        {
          "city": "Springdale",
          "state": "Arkansas"
        },
        {
          "city": "Concord",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05254834"
    },
    {
      "nct_id": "NCT05606575",
      "title": "A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Epilepsy"
      ],
      "interventions": [
        {
          "name": "Nelli",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Neuro Event Labs Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "6 Years",
        "maximum_age": "21 Years",
        "sex": "ALL",
        "summary": "6 Years to 21 Years"
      },
      "enrollment_count": 150,
      "start_date": "2022-08-01",
      "completion_date": "2026-01-31",
      "has_results": false,
      "last_update_posted_date": "2026-02-13",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 1,
      "location_summary": "Memphis, Tennessee",
      "locations": [
        {
          "city": "Memphis",
          "state": "Tennessee"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05606575"
    },
    {
      "nct_id": "NCT07224737",
      "title": "Liquid Biopsy Using Exosomal miRNA Enables Risk Stratification of Potential Metastasis in Patients With Intrahepatic Cholangiocarcinoma.",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Intrahepatic Cholangiocarcinoma (Icc)"
      ],
      "interventions": [
        {
          "name": "EXOMIC small RNA sequencing",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "EXOMIC assay (qRT-PCR validation)",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "City of Hope Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 230,
      "start_date": "2024-06-21",
      "completion_date": "2026-02-18",
      "has_results": false,
      "last_update_posted_date": "2026-03-13",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 1,
      "location_summary": "Duarte, California",
      "locations": [
        {
          "city": "Duarte",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07224737"
    },
    {
      "nct_id": "NCT03833804",
      "title": "Data-driven Identification for Substance Misuse",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Substance Use",
        "Substance Abuse",
        "Substance-Related Disorders"
      ],
      "interventions": [
        {
          "name": "Processing of clinical notes in the EHR data collected during routine care",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of Wisconsin, Madison",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "89 Years",
        "sex": "ALL",
        "summary": "18 Years to 89 Years"
      },
      "enrollment_count": 64996,
      "start_date": "2022-09-19",
      "completion_date": "2024-09-19",
      "has_results": true,
      "last_update_posted_date": "2025-10-24",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03833804"
    },
    {
      "nct_id": "NCT04635787",
      "title": "Vital Sensor Monitors for CV19 Detection",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Covid19"
      ],
      "interventions": [
        {
          "name": "ANNE One",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Northwestern University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 324,
      "start_date": "2020-11-05",
      "completion_date": "2021-08-31",
      "has_results": false,
      "last_update_posted_date": "2023-05-06",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04635787"
    },
    {
      "nct_id": "NCT05045742",
      "title": "Prediction of Patient Deterioration Using Machine Learning",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Infection",
        "Heart Failure",
        "Chronic Obstructive Pulmonary Disease",
        "Asthma",
        "Gout Flare",
        "Chronic Kidney Diseases",
        "Hypertensive Urgency",
        "Atrial Fibrillation Rapid",
        "Anticoagulants; Increased"
      ],
      "interventions": [
        {
          "name": "Traditional vital sign alarms versus the BioVitals Index vs the National Early Warning Score 2",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Brigham and Women's Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 526,
      "start_date": "2021-03-20",
      "completion_date": "2026-02-16",
      "has_results": false,
      "last_update_posted_date": "2026-03-17",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 2,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05045742"
    },
    {
      "nct_id": "NCT05034302",
      "title": "Posture Analysis Through Machine Learning",
      "overall_status": "UNKNOWN",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Health Behavior"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "SentiMetrix, Inc",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "85 Years",
        "sex": "ALL",
        "summary": "18 Years to 85 Years"
      },
      "enrollment_count": 20,
      "start_date": "2021-11-01",
      "completion_date": "2022-06-30",
      "has_results": false,
      "last_update_posted_date": "2022-05-10",
      "last_synced_at": "2026-10-27T13:26:49.837Z",
      "location_count": 1,
      "location_summary": "San Luis Obispo, California",
      "locations": [
        {
          "city": "San Luis Obispo",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05034302"
    }
  ]
}