{"screening_id":"IVY-CBC-20260619-CA2881","timestamp":"2026-06-19T14:15:21.351803","sex":"M","age":55,"models_run":4,"derived_ratios":{"nlr":1.75,"plr":117.8,"sii":430.0,"siri":0.84},"results":[{"cancer_type":"prostate","display_name":"Prostate Cancer","risk_tier":"Average","probability":0.3202},{"cancer_type":"lung","display_name":"Lung Cancer","risk_tier":"Average","probability":0.3705},{"cancer_type":"crc","display_name":"Colorectal Cancer","risk_tier":"Average","probability":0.3876},{"cancer_type":"multi","display_name":"Ivy Health Alert","risk_tier":"Normal","probability":0.5272}]}
curl --location --request POST 'https://zylalabs.com/api/12952/innovative+ai+cancer+risk+api/25861/cancer+risk+screen' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"sex": "M",
"age": 55,
"wbc": 6.2,
"neutrophils": 3650,
"lymphocytes": 2080,
"monocytes": 480,
"rbc": 4.50,
"hemoglobin": 14.1,
"mcv": 89.0,
"rdw": 13.3,
"mchc": 33.5,
"platelets": 245
}'
Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Riesgo de cáncer innovador de IA API simplemente incluye tu token de portador en el encabezado de Autorización.
| Encabezado | Descripción |
|---|---|
Autorización
|
Requerido
Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.
|
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento. La Prueba Gratuita incluye hasta 50 solicitudes.
(Ahorra 2 meses pagando anualmente 🎉)
Got it. Here's the clean version — purely informational:
Screen for 20+ cancers from a routine blood test. No imaging. No specialist. No additional tests.
The Ivy CBC Cancer Screen API analyses a standard Complete Blood Count (CBC) and returns AI-powered cancer risk scores across 20+ cancer types in under 50ms. Built for health insurers, corporate wellness platforms, telehealth apps, and lab systems that already collect CBC data — and want to turn it into actionable cancer risk intelligence at scale.
Send 12 CBC parameters (sex, age, and 10 blood values). Receive structured risk tiers and probabilities for four cancer screening models instantly.
Four models run per request:
No PII required. No patient data stored. Results in under 50ms.
The Ivy Health Alert is the API's broadest model. It detects generalised haematological stress patterns associated with a wide basket of malignancies — including many cancers that have no routine early-detection test in standard clinical workflows:
| Category | Cancer Types |
|---|---|
| Haematological | Leukaemia (AML/CLL/ALL), Lymphoma (Hodgkin/NHL), Multiple Myeloma, Myelodysplastic Syndrome, Polycythaemia Vera, Essential Thrombocythaemia |
| Gastrointestinal | Colorectal, Gastric, Pancreatic, Hepatocellular (Liver), Oesophageal |
| Gynaecological | Ovarian, Cervical, Uterine/Endometrial |
| Urological | Prostate, Bladder, Renal Cell (Kidney) |
| Other | Lung, Breast, Thyroid, Sarcomas |
A single blood test. A single API call. 20+ cancers screened simultaneously.
Every model returns one of four tiers based on NHANES population percentiles:
| Tier | Population | Recommended Action |
|---|---|---|
| High | Top 10% | Priority clinical referral |
| Moderate | Next 15% | Ensure screenings are current |
| Average | Middle 25% | Standard preventive care |
| Low | Bottom 50% | Routine monitoring |
| Response Time | < 50ms |
| Availability | 99.9% SLA |
| Hosting | AWS London (eu-west-2) |
| Auth | X-Api-Key header |
| Data Retention | Zero — CBC values discarded after response |
| PII Required | None |
| White-label | Yes — raw JSON, present under your own brand |
La pantalla de riesgo de cáncer devuelve puntuaciones de riesgo de cáncer impulsadas por IA para más de 20 tipos de cáncer basadas en un hemograma completo estándar (CBC) Proporciona clasificaciones de niveles de riesgo (Alto Moderado Promedio Bajo) para cáncer de próstata o de mama cáncer de pulmón cáncer colorrectal y una señal de cáncer múltiple
Key fields in the response include `screening_id`, `timestamp`, `sex`, `age`, `models_run`, `derived_ratios`, and `results`. The `results` field contains detailed risk information for each cancer type assessed.
The response data is structured in JSON format. It includes a top-level object with metadata (like `screening_id` and `timestamp`) and a `results` array that lists each cancer type, its display name, risk tier, and probability.
The endpoint accepts 12 parameters: `sex`, `age`, and 10 CBC blood values (wbc, neutrophils, lymphocytes, monocytes, rbc, hemoglobin, mcv, rdw, mchc, platelets). Each parameter must adhere to specified ranges and formats.
The data is derived from proprietary machine learning models trained on NHANES population data. This ensures that the risk assessments are based on a robust dataset reflecting diverse population health metrics.
Typical use cases include enhancing health insurer screenings, integrating cancer risk assessments into corporate wellness programs, enriching telehealth applications, and providing silent background screening in lab systems for CBC tests.
Los usuarios pueden utilizar los datos devueltos al interpretar los niveles de riesgo para guiar las derivaciones clínicas asegurar exámenes a tiempo o monitorizar a los pacientes según sus niveles de riesgo Las probabilidades pueden informar decisiones de atención médica y estrategias de gestión de pacientes
Data accuracy is maintained through continuous model training and validation against real-world health outcomes. Regular updates and quality checks ensure that the risk assessments remain reliable and relevant to current health trends.