{
  "api_version": "1",
  "request": {
    "url": "https://clinicaltrialsfind.com/api/v1/search.json?intervention=AI-Based+Lifestyle+Recommendations",
    "query": {
      "intervention": "AI-Based Lifestyle Recommendations"
    },
    "page_size": 10
  },
  "pagination": {
    "page": 1,
    "page_size": 10,
    "total_count": 6,
    "total_pages": 1,
    "next_page_url": null,
    "previous_page_url": null
  },
  "source": "remote",
  "last_synced_at": "2026-09-19T08:54:21.034Z",
  "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": "NCT06441955",
      "title": "Covid-19 Long Haul Preventative and Health Promotion Care Clinical Trial Acceleration Program.",
      "overall_status": "RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "PHASE4"
      ],
      "conditions": [
        "COVID-19, Long Haul"
      ],
      "interventions": [
        {
          "name": "Ritonavir-Boosted Nirmatrelvir (Paxlovid)",
          "type": "DRUG"
        },
        {
          "name": "Physiological Evaluation",
          "type": "DIAGNOSTIC_TEST"
        },
        {
          "name": "Moderna COVID-19 Vaccine",
          "type": "BIOLOGICAL"
        },
        {
          "name": "Biopsychological",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Behavioral (e.g., Psychotherapy, Lifestyle Counseling)",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Genetic (including gene transfer, stem cell and recombinant DNA)",
          "type": "GENETIC"
        },
        {
          "name": "Multidisciplinary approach",
          "type": "COMBINATION_PRODUCT"
        }
      ],
      "intervention_types": [
        "DRUG",
        "DIAGNOSTIC_TEST",
        "BIOLOGICAL",
        "BEHAVIORAL",
        "GENETIC",
        "COMBINATION_PRODUCT"
      ],
      "sponsor": "Well- Konnect Healthcare Services and Research Firm",
      "sponsor_class": "NETWORK",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "65 Years",
        "sex": "ALL",
        "summary": "18 Years to 65 Years"
      },
      "enrollment_count": 100,
      "start_date": "2024-03-01",
      "completion_date": "2030-09-30",
      "has_results": false,
      "last_update_posted_date": "2024-11-27",
      "last_synced_at": "2026-09-19T08:54:21.034Z",
      "location_count": 1,
      "location_summary": "Bethesda, Maryland",
      "locations": [
        {
          "city": "Bethesda",
          "state": "Maryland"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06441955"
    },
    {
      "nct_id": "NCT06738641",
      "title": "Effects of Pro2col Application on Health Outcomes",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Health Behavior",
        "Nutrition, Healthy",
        "Activity, Motor"
      ],
      "interventions": [
        {
          "name": "Pro2col Health",
          "type": "BEHAVIORAL"
        },
        {
          "name": "Control",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Applied Science & Performance Institute",
      "sponsor_class": "INDUSTRY",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "21 Years",
        "maximum_age": "60 Years",
        "sex": "ALL",
        "summary": "21 Years to 60 Years"
      },
      "enrollment_count": 50,
      "start_date": "2024-10-06",
      "completion_date": "2024-12-01",
      "has_results": false,
      "last_update_posted_date": "2025-09-16",
      "last_synced_at": "2026-09-19T08:54:21.034Z",
      "location_count": 1,
      "location_summary": "Tampa, Florida",
      "locations": [
        {
          "city": "Tampa",
          "state": "Florida"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06738641"
    },
    {
      "nct_id": "NCT06337734",
      "title": "An Artificial Intelligence-Assisted Digital Health Lifestyle Intervention for Adults With Hypertension",
      "overall_status": "COMPLETED",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Hypertension"
      ],
      "interventions": [
        {
          "name": "AI-Driven Lifestyle Coaching Program",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "University of California, San Diego",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 141,
      "start_date": "2021-11-01",
      "completion_date": "2023-08-01",
      "has_results": false,
      "last_update_posted_date": "2024-04-01",
      "last_synced_at": "2026-09-19T08:54:21.034Z",
      "location_count": 1,
      "location_summary": "La Jolla, California",
      "locations": [
        {
          "city": "La Jolla",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT06337734"
    },
    {
      "nct_id": "NCT07824154",
      "title": "Diabetes Prevention AI: Enhancing Prevention Strategies Using Personalized Nutrition and Fitness Coaching for the Next Generation",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Pre Diabetes",
        "Type2 Diabetes"
      ],
      "interventions": [
        {
          "name": "AI-Powered Diabetes Prevention Chatbot",
          "type": "BEHAVIORAL"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL"
      ],
      "sponsor": "Emory University",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": "55 Years",
        "sex": "ALL",
        "summary": "18 Years to 55 Years"
      },
      "enrollment_count": 30,
      "start_date": "2026-10",
      "completion_date": "2027-03",
      "has_results": false,
      "last_update_posted_date": "2026-09-17",
      "last_synced_at": "2026-09-19T08:54:21.034Z",
      "location_count": 1,
      "location_summary": "Atlanta, Georgia",
      "locations": [
        {
          "city": "Atlanta",
          "state": "Georgia"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07824154"
    },
    {
      "nct_id": "NCT07116902",
      "title": "Artificial Intelligence-based Methods to Predict Disease Progression in Youth With Type 2 Diabetes",
      "overall_status": "NOT_YET_RECRUITING",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Type 2 Diabetes"
      ],
      "interventions": [
        {
          "name": "phone application",
          "type": "DEVICE"
        },
        {
          "name": "Standard of Care (SOC)",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "DEVICE",
        "OTHER"
      ],
      "sponsor": "University of California, San Francisco",
      "sponsor_class": "OTHER",
      "healthy_volunteers": false,
      "eligibility": {
        "minimum_age": "10 Years",
        "maximum_age": "21 Years",
        "sex": "ALL",
        "summary": "10 Years to 21 Years"
      },
      "enrollment_count": 50,
      "start_date": "2026-04",
      "completion_date": "2026-09",
      "has_results": false,
      "last_update_posted_date": "2025-12-04",
      "last_synced_at": "2026-09-19T08:54:21.034Z",
      "location_count": 2,
      "location_summary": "Oakland, California • San Francisco, California",
      "locations": [
        {
          "city": "Oakland",
          "state": "California"
        },
        {
          "city": "San Francisco",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT07116902"
    },
    {
      "nct_id": "NCT04543656",
      "title": "Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence",
      "overall_status": "UNKNOWN",
      "study_type": "INTERVENTIONAL",
      "phases": [
        "NA"
      ],
      "conditions": [
        "Pre-hypertension"
      ],
      "interventions": [
        {
          "name": "AI-Based Lifestyle Recommendations",
          "type": "BEHAVIORAL"
        },
        {
          "name": "No Lifestyle Recommendations",
          "type": "OTHER"
        }
      ],
      "intervention_types": [
        "BEHAVIORAL",
        "OTHER"
      ],
      "sponsor": "University of California, San Diego",
      "sponsor_class": "OTHER",
      "healthy_volunteers": true,
      "eligibility": {
        "minimum_age": "18 Years",
        "maximum_age": null,
        "sex": "ALL",
        "summary": "18 Years and older"
      },
      "enrollment_count": 100,
      "start_date": "2020-10-01",
      "completion_date": "2022-06",
      "has_results": false,
      "last_update_posted_date": "2021-09-28",
      "last_synced_at": "2026-09-19T08:54:21.034Z",
      "location_count": 1,
      "location_summary": "La Jolla, California",
      "locations": [
        {
          "city": "La Jolla",
          "state": "California"
        }
      ],
      "official_url": "https://clinicaltrials.gov/study/NCT04543656"
    }
  ]
}