Innovative AI Cancer Risk API

API ID 12952

Stay ahead in patient care with the Innovative Innovative AI Cancer Risk API, integrating cutting-edge technology for cancer risk analysis.

API Documentation

Endpoints

Request

Analyses a standard Complete Blood Count (CBC) and returns AI-powered cancer risk scores across 20+ cancer types in under 50ms. Submit 12 parameters (sex, age, and 10 CBC blood values) and receive risk tier classifications — High, Moderate, Average, or Low — for Prostate or Breast Cancer, Lung Cancer, Colorectal Cancer, and the Ivy Health Alert multi-cancer signal. No patient identifiers required. Zero data retention. Results are based on proprietary machine learning models trained on NHANES population data.

sex = Patient sex — "M" for male or "F" for female. Determines which cancer models run

age = Patient age in years (1–120). Integer only

wbc = White blood cell count (×10³/mm³). Range: 0.5–50

neutrophils = Absolute neutrophil count (/mm³). Range: 100–30,000

lymphocytes = Absolute lymphocyte count (/mm³). Range: 100–20,000

monocytes = Absolute monocyte count (/mm³). Range: 10–5,000

rbc = Red blood cell count (M/mm³). Range: 2.0–8.0

hemoglobin = Hemoglobin concentration (g/dL). Range: 5.0–22.0

mcv = Mean cell volume (fL). Range: 50–130

rdw = Red cell distribution width (%). Range: 9–30

mchc = Mean cell hemoglobin concentration (g/dL). Range: 20–40

platelets = Platelet count (×10³/mm³). Range: 20–1,000

Endpoint ID: 25861
POST https://zylalabs.com/api/12952/innovative+ai+cancer+risk+api/25861/cancer+risk+screen
INPUT PARAMETERS

Cancer Risk Screen — Endpoint Features

Object Description
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
{"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}]}
Cancer Risk Screen — CODE SNIPPETS

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
}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Innovative AI Cancer Risk API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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  • Real-Time API Monitoring

Overview

Got it. Here's the clean version — purely informational:


Ivy CBC Cancer Screen API — Long Description

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.


How It Works

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:

  • 🔴 Prostate Cancer (male) or Breast Cancer (female)
  • 🔴 Lung Cancer
  • 🔴 Colorectal Cancer
  • 🔴 Ivy Health Alert — multi-cancer signal across 20+ cancer types

No PII required. No patient data stored. Results in under 50ms.


The Ivy Health Alert — 20+ Cancer Types in One Signal

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.


Risk Tiers

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

Key Specs

   
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

Built For

  • Health insurers & TPAs — add a cancer risk flag to every annual health check
  • Corporate wellness — meaningful cancer screening as part of occupational health benefits
  • Telehealth & health apps — enrich CBC result displays with AI risk context
  • Lab & EHR systems — silent background screen on every CBC ordered
  • Screening clinics — upsell a cancer risk report alongside standard blood panels

Innovative AI Cancer Risk API FAQs

The Cancer Risk Screen endpoint returns AI-powered cancer risk scores for over 20 cancer types based on a standard Complete Blood Count (CBC). It provides risk tier classifications (High, Moderate, Average, Low) for Prostate or Breast Cancer, Lung Cancer, Colorectal Cancer, and a multi-cancer signal.

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.

Users can utilize the returned data by interpreting the risk tiers to guide clinical referrals, ensure timely screenings, or monitor patients based on their risk levels. The probabilities can inform healthcare decisions and patient management strategies.

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.

General FAQs

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