{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=2",
    "query": {
      "condition": "Machine Learning",
      "page": 2
    },
    "page_size": 10
  },
  "pagination": {
    "page": 2,
    "page_size": 10,
    "total_count": 10,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": "https://clinicaltrialsfind.com/api/v1/search.json?condition=Machine+Learning&page=1&page_size=10"
  },
  "source": "remote",
  "last_synced_at": "2026-07-24T00:44:18.444Z",
  "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": "NCT06342401",
      "title": "Early Onset Colorectal Cancer Detection",
      "overall_status": "RECRUITING",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Colorectal Cancer",
        "Colorectal Neoplasms",
        "Colorectal Adenocarcinoma",
        "Colorectal Cancer Stage I",
        "Colorectal Cancer Stage IV",
        "Colorectal Cancer Stage II",
        "Colorectal Cancer Stage III",
        "Colorectal Neoplasms Malignant"
      ],
      "interventions": [
        {
          "name": "ENCODE",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "City of Hope Medical Center",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "50 Years",
        "sex": "ALL",
        "summary": "18 Years to 50 Years"
      },
      "enrollment_count": 400,
      "start_date": "2023-04-15",
      "completion_date": "2028-06-18",
      "has_results": false,
      "last_update_posted_date": "2026-07-07",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Duarte, California",
      "locations": [
        {
          "city": "Duarte",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06342401"
    },
    {
      "nct_id": "NCT03235193",
      "title": "Predictive algoRithm for EValuation and Intervention in SEpsis",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Sepsis",
        "Septic Shock",
        "Severe Sepsis"
      ],
      "interventions": [
        {
          "name": "Severe Sepsis Prediction",
          "type": "OTHER"
        },
        {
          "name": "Severe Sepsis Detection",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Dascena",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 2296,
      "start_date": "2017-07-01",
      "completion_date": "2017-08-30",
      "has_results": false,
      "last_update_posted_date": "2021-09-21",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Huntington, West Virginia",
      "locations": [
        {
          "city": "Huntington",
          "state": "West Virginia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT03235193"
    },
    {
      "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": "2026-07-24T00:44:18.444Z",
      "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": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Duarte, California",
      "locations": [
        {
          "city": "Duarte",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07224737"
    },
    {
      "nct_id": "NCT04323137",
      "title": "Encouraging Flu Vaccination Among High-Risk Patients Identified by ML",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Influenza",
        "Vaccination",
        "Health Promotion",
        "Health Behavior",
        "Risk Reduction"
      ],
      "interventions": [
        {
          "name": "Risk reduction",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Medical records-based recommendation",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Algorithm-based recommendation",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Geisinger Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "17 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "17 Years and older"
      },
      "enrollment_count": 117649,
      "start_date": "2020-09-21",
      "completion_date": "2021-09-21",
      "has_results": true,
      "last_update_posted_date": "2024-12-30",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Danville, Pennsylvania",
      "locations": [
        {
          "city": "Danville",
          "state": "Pennsylvania"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04323137"
    },
    {
      "nct_id": "NCT05433519",
      "title": "Diagnostic Accuracy of a Novel Machine Learning Algorithm to Estimate Gestational Age",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Gestational Age",
        "Machine Learning",
        "Pregnancy Related"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "University of North Carolina, Chapel Hill",
      "sponsor_class": "OTHER",
      "healthy_volunteers": null,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "59 Years",
        "sex": "FEMALE",
        "summary": "18 Years to 59 Years · Female only"
      },
      "enrollment_count": 400,
      "start_date": "2022-07-27",
      "completion_date": "2023-11-13",
      "has_results": false,
      "last_update_posted_date": "2024-05-08",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Chapel Hill, North Carolina",
      "locations": [
        {
          "city": "Chapel Hill",
          "state": "North Carolina"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05433519"
    },
    {
      "nct_id": "NCT06898138",
      "title": "Acute Stimulation and Modulation of Stereotyped High-Frequency Oscillations",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Epilepsy"
      ],
      "interventions": [
        {
          "name": "Brain Interchange System",
          "type": "DEVICE"
        }
      ],
      "intervention_types": [
        "DEVICE"
      ],
      "sponsor": "Mayo Clinic",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "3 Years",
        "maximum_age": "70 Years",
        "sex": "ALL",
        "summary": "3 Years to 70 Years"
      },
      "enrollment_count": 8,
      "start_date": "2026-07-01",
      "completion_date": "2029-08-31",
      "has_results": false,
      "last_update_posted_date": "2026-05-18",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 2,
      "location_summary": "Rochester, Minnesota • Houston, Texas",
      "locations": [
        {
          "city": "Rochester",
          "state": "Minnesota"
        },
        {
          "city": "Houston",
          "state": "Texas"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06898138"
    },
    {
      "nct_id": "NCT04928976",
      "title": "Amyloid Prediction in Early Stage Alzheimer's Disease Through Speech Phenotyping",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Alzheimer Disease",
        "Preclinical Alzheimer's Disease",
        "Prodromal Alzheimer's Disease",
        "Alzheimer's Disease (Incl Subtypes)",
        "Mild Cognitive Impairment"
      ],
      "interventions": [],
      "intervention_types": [],
      "sponsor": "Novoic Limited",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "50 Years",
        "maximum_age": "85 Years",
        "sex": "ALL",
        "summary": "50 Years to 85 Years"
      },
      "enrollment_count": 67,
      "start_date": "2021-01-22",
      "completion_date": "2021-07-30",
      "has_results": false,
      "last_update_posted_date": "2021-09-05",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Santa Ana, California",
      "locations": [
        {
          "city": "Santa Ana",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04928976"
    },
    {
      "nct_id": "NCT05175690",
      "title": "Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness",
      "overall_status": "COMPLETED",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "COVID19"
      ],
      "interventions": [
        {
          "name": "Diagnostic Software as Medical Device",
          "type": "DIAGNOSTIC_TEST"
        }
      ],
      "intervention_types": [
        "DIAGNOSTIC_TEST"
      ],
      "sponsor": "AudibleHealth AI, Inc.",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 1126,
      "start_date": "2022-01-10",
      "completion_date": "2022-05-03",
      "has_results": false,
      "last_update_posted_date": "2022-05-05",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 1,
      "location_summary": "Tampa, Florida",
      "locations": [
        {
          "city": "Tampa",
          "state": "Florida"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT05175690"
    },
    {
      "nct_id": "NCT06065761",
      "title": "Improving Risk Stratification of Emergency Department Patients With Acute Heart Failure",
      "overall_status": "ENROLLING_BY_INVITATION",
      "study_type": "OBSERVATIONAL",
      "phases": [],
      "conditions": [
        "Heart Failure"
      ],
      "interventions": [
        {
          "name": "Comprehensive ED heart failure management tool",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "OTHER"
      ],
      "sponsor": "Kaiser Permanente",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 17459,
      "start_date": "2025-01-16",
      "completion_date": "2026-12-31",
      "has_results": false,
      "last_update_posted_date": "2026-06-18",
      "last_synced_at": "2026-07-24T00:44:18.444Z",
      "location_count": 21,
      "location_summary": "Antioch, California • Fremont, California • Fresno, California + 17 more",
      "locations": [
        {
          "city": "Antioch",
          "state": "California"
        },
        {
          "city": "Fremont",
          "state": "California"
        },
        {
          "city": "Fresno",
          "state": "California"
        },
        {
          "city": "Manteca",
          "state": "California"
        },
        {
          "city": "Modesto",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06065761"
    }
  ]
}