AI model detects patients at risk of underdiagnosed causes of hypertension.

{
  "signal_id": "13832b80-540b-4717-aebc-f68ece5893cd",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-06-13T18:09:57+00:00",
  "company": {
    "name": "Mayo Clinic",
    "domain": "mayoclinic.org"
  },
  "data": {
    "url": "https://bioengineer.org/ai-model-detects-patients-at-risk-of-underdiagnosed-causes-of-hypertension",
    "title": "AI model detects patients at risk of underdiagnosed causes of hypertension.",
    "excerpt": "AI model detects patients at risk of underdiagnosed causes of hypertension.\n\nReading Time: 4 mins read\n\nIn a groundbreaking development at the intersection of artificial intelligence and endocrinology, researchers from the Mayo Clinic have unveiled a sophisticated AI-driven screening model designed to transform the detection of primary aldosteronism (PA), a frequently overlooked but critical contributor to hypertension and subsequent cardiovascular disease. This advance emerges from a rigorous analysis of three decades' worth of electronic health record (EHR) data and offers a promising new pathway to identify individuals at risk well before symptoms escalate, potentially preventing severe health complications.\n\nPrimary aldosteronism arises due to excessive secretion of aldosterone by the adrenal glands, small but vital structures perched atop the kidneys. Aldosterone plays a key physiological role in regulating sodium and potassium balance, thereby influencing blood pressure homeostasis. However, when produced in surplus, it disrupts this delicate electrolyte equilibrium, leading to persistent hypertension that is often refractory to standard treatment. This condition markedly heightens the probability of various cardiovascular events, including stroke, coronary artery disease, atrial fibrillation, heart failure, and renal impairment.\n\nDespite its significant health impacts...",
    "product": "AI-driven screening model",
    "summary": "Mayo launches AI-driven screening model.",
    "planning": false,
    "image_url": "https://bioengineer.org/wp-content/uploads/2026/06/AI-Model-Detects-Patients-at-Risk-of-Underdiagnosed-Causes-of.jpg",
    "confidence": 0.5076,
    "product_data": {
      "full_text": "AI-driven screening model",
      "fuzzy_match": true,
      "release_type": "model"
    },
    "product_tags": [
      "future_tech"
    ],
    "published_at": "2026-06-13T18:09:57Z",
    "article_sentence": "In a groundbreaking development at the intersection of artificial intelligence and endocrinology, researchers from the Mayo Clinic have unveiled a sophisticated AI-driven screening model designed to transform the detection of primary aldosteronism (PA), a frequently overlooked but critical contributor to hypertension and subsequent cardiovascular disease."
  }
}

curl https://signals.autobound.ai/v1/signals/13832b80-540b-4717-aebc-f68ece5893cd \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"mayoclinic.org","limit":20}'