{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=3",
    "query": {
      "condition": "Machine Learning",
      "page": 3
    },
    "page_size": 10
  },
  "pagination": {
    "page": 3,
    "page_size": 10,
    "total_count": 256,
    "total_pages": 26,
    "next_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=4&page_size=10",
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=2&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-10-27T08:16:05.083Z",
  "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": "NCT06792175",
      "title": "Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Autism Spectrum Disorder",
        "Depression - Major Depressive Disorder",
        "Anxiety, Generalized",
        "Bipolar Disorder (BD)",
        "Attention Deficit Hyperactivity Disorder (ADHD)",
        "Schizophrenia Spectrum &Amp; Other Psychotic Disorders",
        "Post Traumatic Stress Disorder",
        "Obsessive Compulsive Disorder (OCD)"
      ],
      "interventions": [
        {
          "name": "Solicue Machine Learning Models",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Mercuria Machine Learning Models",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "Psyrin Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "13 Years",
        "maximum_age": "60 Years",
        "sex": "ALL",
        "summary": "13 Years to 60 Years"
      },
      "enrollment_count": 500,
      "start_date": "2025-02-04",
      "completion_date": "2026-07",
      "has_results": false,
      "last_update_posted_date": "2025-09-03",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 2,
      "location_summary": "Brookline, Massachusetts • Zanesville, Ohio",
      "locations": [
        {
          "city": "Brookline",
          "state": "Massachusetts"
        },
        {
          "city": "Zanesville",
          "state": "Ohio"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06792175"
    },
    {
      "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": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03833804"
    },
    {
      "nct_id": "NCT04393558",
      "title": "Wearable Sensor to Monitor COVID-19 Like Signs and Symptoms",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "COVID-19",
        "Healthy Control"
      ],
      "interventions": [
        {
          "name": "ADAM Sensor",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Shirley Ryan AbilityLab",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "95 Years",
        "sex": "ALL",
        "summary": "18 Years to 95 Years"
      },
      "enrollment_count": 75,
      "start_date": "2020-04-20",
      "completion_date": "2020-10-26",
      "has_results": false,
      "last_update_posted_date": "2025-04-17",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "Chicago, Illinois",
      "locations": [
        {
          "city": "Chicago",
          "state": "Illinois"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04393558"
    },
    {
      "nct_id": "NCT06002048",
      "title": "AI Ready and Exploratory Atlas for Diabetes Insights",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Type 2 Diabetes"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "University of Washington",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "40 Years",
        "maximum_age": "85 Years",
        "sex": "ALL",
        "summary": "40 Years to 85 Years"
      },
      "enrollment_count": 4000,
      "start_date": "2023-07-19",
      "completion_date": "2027-01-01",
      "has_results": false,
      "last_update_posted_date": "2025-04-06",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 3,
      "location_summary": "Birmingham, Alabama • San Diego, California • Seattle, Washington",
      "locations": [
        {
          "city": "Birmingham",
          "state": "Alabama"
        },
        {
          "city": "San Diego",
          "state": "California"
        },
        {
          "city": "Seattle",
          "state": "Washington"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06002048"
    },
    {
      "nct_id": "NCT04026555",
      "title": "Realtime Streaming Clinical Use Engine for Medical Escalation",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Clinical Deterioration",
        "Hospital Medicine",
        "Monitoring, Physiologic"
      ],
      "interventions": [
        {
          "name": "MEWS++ Monitoring",
          "type": "OTHER"
        },
        {
          "name": "Predictor Score",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Icahn School of Medicine at Mount Sinai",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 2780,
      "start_date": "2019-06-18",
      "completion_date": "2020-03-19",
      "has_results": true,
      "last_update_posted_date": "2025-01-14",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04026555"
    },
    {
      "nct_id": "NCT05509049",
      "title": "Precision Nudging Drives Wellness Visit Attendance at Scale",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Women's Health",
        "Annual Visit",
        "Well Visit",
        "Health Behavior",
        "Prevention"
      ],
      "interventions": [
        {
          "name": "Precision nudging",
          "type": "OTHER"
        },
        {
          "name": "Standard of care",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Lirio",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": "65 Years",
        "sex": "FEMALE",
        "summary": "21 Years to 65 Years · Female only"
      },
      "enrollment_count": 30068,
      "start_date": "2022-09-07",
      "completion_date": "2024-01-09",
      "has_results": false,
      "last_update_posted_date": "2024-01-17",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "New York, New York",
      "locations": [
        {
          "city": "New York",
          "state": "New York"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05509049"
    },
    {
      "nct_id": "NCT07291245",
      "title": "Kawasaki MATCH Trial",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Kawasaki Disease"
      ],
      "interventions": [
        {
          "name": "Kawasaki MATCH",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "University of California, San Diego",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "30 Days",
        "maximum_age": "17 Years",
        "sex": "ALL",
        "summary": "30 Days to 17 Years"
      },
      "enrollment_count": 200,
      "start_date": "2025-03-01",
      "completion_date": "2026-10-31",
      "has_results": false,
      "last_update_posted_date": "2025-12-18",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "San Diego, California",
      "locations": [
        {
          "city": "San Diego",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07291245"
    },
    {
      "nct_id": "NCT07224854",
      "title": "Epigenetic Signature for CRC Early Detection",
      "overall_status": "ACTIVE_NOT_RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Colorectal Cancer (Diagnosis)",
        "Non-cancer Controls",
        "DNA Methylation",
        "Cell Free DNA",
        "Early Detection of Cancer"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "City of Hope Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 500,
      "start_date": "2024-06-21",
      "completion_date": "2028-06-18",
      "has_results": false,
      "last_update_posted_date": "2026-07-07",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "Monrovia, California",
      "locations": [
        {
          "city": "Monrovia",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07224854"
    },
    {
      "nct_id": "NCT05135065",
      "title": "Community-Based Care for Minority Adolescents With ADHD: Improving Fidelity With Machine Learning-Assisted Supervision and Fidelity Feedback.",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Attention Deficit Hyperactivity Disorder"
      ],
      "interventions": [
        {
          "name": "Artificial Intelligence-Assisted Supervision Protocol",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Seattle Children's Hospital",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "11 Years",
        "maximum_age": "17 Years",
        "sex": "ALL",
        "summary": "11 Years to 17 Years"
      },
      "enrollment_count": 51,
      "start_date": "2021-11-18",
      "completion_date": "2024-12-01",
      "has_results": false,
      "last_update_posted_date": "2026-04-24",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 1,
      "location_summary": "Seattle, Washington",
      "locations": [
        {
          "city": "Seattle",
          "state": "Washington"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05135065"
    },
    {
      "nct_id": "NCT04849312",
      "title": "Prediction of 30-Day Readmission 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": [],
      "intervention_types": [],
      "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": 372,
      "start_date": "2017-06-01",
      "completion_date": "2019-11-30",
      "has_results": false,
      "last_update_posted_date": "2026-03-17",
      "last_synced_at": "2026-10-27T08:16:05.083Z",
      "location_count": 2,
      "location_summary": "Boston, Massachusetts",
      "locations": [
        {
          "city": "Boston",
          "state": "Massachusetts"
        },
        {
          "city": "Boston",
          "state": "Massachusetts"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04849312"
    }
  ]
}