Biometric Calculator

Calculate precise age metrics and biological age assessments using advanced algorithms from Lincoln Cannon LLC. Our Biometric Calculator API provides both chronological age calculations and PhenoAge biological age assessments based on comprehensive biometric data. Built on AWS infrastructure, the API ensures high availability, security, and scalability for health and wellness applications.

Table of Contents

• Overview
• API Endpoints
• ChronoAge
• PhenoAge
• Infrastructure & Reliability
• Authentication
• Error Handling
• Implementation Examples
• Support & Troubleshooting

Overview

The Biometric Calculator API offers two primary calculation types designed for health and wellness applications:

• ChronoAge: Calculate detailed chronological age metrics in years, months, weeks, and days
• PhenoAge: Assess biological age using advanced algorithms based on comprehensive biometric markers

Key Features

Use Cases

The API is ideal for developers and businesses in the health and wellness industry:

• Health Applications: Integrate age calculations into fitness and wellness platforms
• Medical Research: Support research requiring precise age-related health metrics
• Clinical Tools: Provide healthcare professionals with biological age assessments
• Wellness Platforms: Enable users to track health status and make informed decisions
• Research Institutions: Analyze age-related health data for academic studies

API Endpoints

Base URL

https://api.lincolncannon.co/biometric/calculate

Method

• POST - All calculations are performed via POST requests

Headers

ChronoAge

ChronoAge is designed to calculate an individual’s chronological age based on their birth and test dates. This API provides detailed age metrics in years, months, weeks, and days, offering a comprehensive view of age progression.

Request Parameters

Response Structure

Example Request

{
  "TestType": "ChronoAge",
  "BirthDate": "1974-12-01",
  "TestDate": "2024-01-31"
}

Example Response

{
  "function": "LincolnCannonLLCBiometric-prod-calculate",
  "result": {
    "days": 17958,
    "months": 590,
    "monthsWeeksDays": {
      "months": 589,
      "weeks": 4,
      "days": 2
    },
    "weeks": 2565.43,
    "weeksDays": {
      "weeks": 2565,
      "days": 3
    },
    "years": 49.17,
    "yearsMonthsWeeksDays": {
      "years": 49,
      "months": 1,
      "weeks": 4,
      "days": 2
    }
  },
  "message": "For a person with the specified birth and calculation dates, we calculated a chronological age of 49 years, 1 months, 4 weeks, and 2 days. This is the equivalent of 49.17 years, or 590 months, or 2565.43 weeks, or 17958 days."
}

PhenoAge

PhenoAge is designed to calculate an individual’s biological age based on various biometric inputs. This API provides insights into a person’s health status by comparing their biological age to their chronological age.

Scientific Foundation

The PhenoAge algorithms implemented in this API are based on peer-reviewed scientific research by Dr. Morgan Levine and colleagues. These algorithms have been validated across diverse populations and are widely used in clinical research, population studies, and preventive medicine.

Key Publications

PhenoAge1 Algorithm:

• Levine, M. E. (2018). “An epigenetic biomarker of aging for lifespan and healthspan.” Aging, 10(4), 573-591. View Paper
• Levine, M. E. (2018). “Additional file for an epigenetic biomarker of aging for lifespan and healthspan.” View Supplement

PhenoAge2 Algorithm:

• Levine, M. E. (2018). “A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study.” PLOS Medicine, 15(12), e1002718. View Paper
• Levine, M. E. (2019). “Correction: A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study.” PLOS Medicine, 16(2), e1002728. View Correction

Statistical Adjustments:

• Cramer, J. G. (2018). “New blood tests can reveal your life expectancy.” Age Reversal Forum. View Discussion

Request Parameters

Response Structure

Example Request

{
  "TestType": "PhenoAge",
  "BirthDate": "1974-12-01",
  "TestDate": "2024-01-31",
  "Albumin": 4.5,
  "ALP": 85,
  "Creatinine": 1.11,
  "CRP": 0.88,
  "Glucose": 92,
  "Lymph": 36,
  "MCV": 90,
  "RDW": 12.9,
  "WBC": 5.1
}

Example Response

{
  "function": "LincolnCannonLLCBiometric-prod-calculate",
  "result": {
    "biological": 42.92,
    "chronological": 49.17,
    "difference": -6.25,
    "PhenoAge1": 41.7651318173571,
    "adjustedPhenoAge1": 41.34673188557684,
    "PhenoAge2": 43.38113049985819,
    "adjustedPhenoAge2": 42.92193734280278
  },
  "message": "For a person with the specified biometrics and test date, we calculated a chronological age of 49.17 years and an estimated biological age of 42.92 years, which differ by -6.25 years."
}

Infrastructure & Reliability

AWS Infrastructure

The Biometric Calculator API is built on AWS infrastructure, providing enterprise-grade reliability and performance:

Architecture Benefits

• Scalable Design: Supports applications ranging from individual health tools to enterprise healthcare platforms
• Secure Data Handling: All biometric data is processed securely with industry-standard encryption
• High Performance: Optimized algorithms ensure calculations complete within 1-2 seconds
• Robust Error Handling: Graceful management of invalid inputs with clear feedback
• Enterprise Integration: Suitable for integration into existing healthcare and wellness systems

Data Processing

The API efficiently processes comprehensive biometric inputs including:

• Albumin, ALP, Creatinine, CRP, Glucose, Lymph, MCV, RDW, and WBC
• Precise date calculations for chronological age assessments
• Statistical adjustments for accurate biological age calculations

Authentication

API Key Requirements

All requests to the Biometric Calculator API require authentication using an API key:

1. Obtain API Key: Contact Lincoln Cannon LLC to receive your API key
2. Include in Headers: Add your API key to the x-api-key header
3. Origin Validation: Ensure your origin domain is registered with our system

Security Best Practices

Error Handling

Common Error Responses

Error Response Format

{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Invalid birth date format. Expected YYYY-MM-DD",
    "details": {
      "field": "BirthDate",
      "value": "1974/12/01"
    }
  }
}

Implementation Examples

JavaScript Implementation

// ChronoAge calculation
async function calculateChronoAge(birthDate, testDate = null) {
    const requestBody = {
        TestType: "ChronoAge",
        BirthDate: birthDate,
        ...(testDate && { TestDate: testDate })
    };

    try {
        const response = await fetch('https://api.lincolncannon.co/biometric/calculate', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
                'Origin': window.location.origin,
                'x-api-key': process.env.API_KEY
            },
            body: JSON.stringify(requestBody)
        });

        if (!response.ok) {
            throw new Error(`HTTP error! status: ${response.status}`);
        }

        const data = await response.json();
        return data;
    } catch (error) {
        console.error('Error calculating ChronoAge:', error);
        throw error;
    }
}

// PhenoAge calculation
async function calculatePhenoAge(biometricData) {
    const requestBody = {
        TestType: "PhenoAge",
        ...biometricData
    };

    try {
        const response = await fetch('https://api.lincolncannon.co/biometric/calculate', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
                'Origin': window.location.origin,
                'x-api-key': process.env.API_KEY
            },
            body: JSON.stringify(requestBody)
        });

        if (!response.ok) {
            throw new Error(`HTTP error! status: ${response.status}`);
        }

        const data = await response.json();
        return data;
    } catch (error) {
        console.error('Error calculating PhenoAge:', error);
        throw error;
    }
}

// Usage examples
const chronoAgeResult = await calculateChronoAge('1974-12-01', '2024-01-31');
console.log('Chronological Age:', chronoAgeResult.result.years);

const phenoAgeData = {
    BirthDate: '1974-12-01',
    TestDate: '2024-01-31',
    Albumin: 4.5,
    ALP: 85,
    Creatinine: 1.11,
    CRP: 0.88,
    Glucose: 92,
    Lymph: 36,
    MCV: 90,
    RDW: 12.9,
    WBC: 5.1
};

const phenoAgeResult = await calculatePhenoAge(phenoAgeData);
console.log('Biological Age:', phenoAgeResult.result.biological);
console.log('Age Difference:', phenoAgeResult.result.difference);

Python Implementation

import requests
import os
from datetime import datetime

class BiometricCalculator:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = "https://api.lincolncannon.co/biometric/calculate"
        self.headers = {
            'Content-Type': 'application/json',
            'Origin': 'https://yourdomain.com',
            'x-api-key': api_key
        }

    def calculate_chrono_age(self, birth_date, test_date=None):
        """Calculate chronological age"""
        request_body = {
            "TestType": "ChronoAge",
            "BirthDate": birth_date
        }
        
        if test_date:
            request_body["TestDate"] = test_date

        try:
            response = requests.post(
                self.base_url,
                headers=self.headers,
                json=request_body
            )
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            print(f"Error calculating ChronoAge: {e}")
            raise

    def calculate_pheno_age(self, biometric_data):
        """Calculate biological age using PhenoAge"""
        request_body = {
            "TestType": "PhenoAge",
            **biometric_data
        }

        try:
            response = requests.post(
                self.base_url,
                headers=self.headers,
                json=request_body
            )
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            print(f"Error calculating PhenoAge: {e}")
            raise

# Usage example
calculator = BiometricCalculator(os.getenv('API_KEY'))

# ChronoAge calculation
chrono_result = calculator.calculate_chrono_age('1974-12-01', '2024-01-31')
print(f"Chronological Age: {chrono_result['result']['years']} years")

# PhenoAge calculation
pheno_data = {
    'BirthDate': '1974-12-01',
    'TestDate': '2024-01-31',
    'Albumin': 4.5,
    'ALP': 85,
    'Creatinine': 1.11,
    'CRP': 0.88,
    'Glucose': 92,
    'Lymph': 36,
    'MCV': 90,
    'RDW': 12.9,
    'WBC': 5.1
}

pheno_result = calculator.calculate_pheno_age(pheno_data)
print(f"Biological Age: {pheno_result['result']['biological']} years")
print(f"Age Difference: {pheno_result['result']['difference']} years")

Healthcare Application Integration

<!DOCTYPE html>
<html>
<head>
    <title>Health Assessment Platform</title>
</head>
<body>
    <header>
        <h1>Biometric Age Assessment</h1>
        <nav>
            <a href="/dashboard">Dashboard</a>
            <a href="/assessments">Assessments</a>
            <a href="/reports">Reports</a>
        </nav>
    </header>
    
    <main>
        <section class="assessment-form">
            <h2>Biological Age Calculator</h2>
            <form id="phenoAgeForm">
                <div class="form-group">
                    <label for="birthDate">Birth Date:</label>
                    <input type="date" id="birthDate" required>
                </div>
                
                <div class="form-group">
                    <label for="albumin">Albumin (g/dL):</label>
                    <input type="number" id="albumin" step="0.1" required>
                </div>
                
                <div class="form-group">
                    <label for="alp">Alkaline Phosphatase (U/L):</label>
                    <input type="number" id="alp" required>
                </div>
                
                <!-- Additional biometric fields -->
                
                <button type="submit">Calculate Biological Age</button>
            </form>
            
            <div id="results" class="results-section" style="display: none;">
                <h3>Assessment Results</h3>
                <div id="resultContent"></div>
            </div>
        </section>
    </main>
    
    <script>
        document.getElementById('phenoAgeForm').addEventListener('submit', async function(e) {
            e.preventDefault();
            
            const formData = {
                TestType: "PhenoAge",
                BirthDate: document.getElementById('birthDate').value,
                TestDate: new Date().toISOString().split('T')[0],
                Albumin: parseFloat(document.getElementById('albumin').value),
                ALP: parseInt(document.getElementById('alp').value),
                // Add other biometric fields
            };
            
            try {
                const response = await fetch('https://api.lincolncannon.co/biometric/calculate', {
                    method: 'POST',
                    headers: {
                        'Content-Type': 'application/json',
                        'Origin': window.location.origin,
                        'x-api-key': process.env.API_KEY
                    },
                    body: JSON.stringify(formData)
                });
                
                if (!response.ok) {
                    throw new Error(`HTTP error! status: ${response.status}`);
                }
                
                const data = await response.json();
                displayResults(data);
            } catch (error) {
                console.error('Error:', error);
                alert('Error calculating biological age. Please try again.');
            }
        });
        
        function displayResults(data) {
            const resultsDiv = document.getElementById('results');
            const contentDiv = document.getElementById('resultContent');
            
            contentDiv.innerHTML = `
                <div class="result-item">
                    <strong>Chronological Age:</strong> ${data.result.chronological.toFixed(1)} years
                </div>
                <div class="result-item">
                    <strong>Biological Age:</strong> ${data.result.biological.toFixed(1)} years
                </div>
                <div class="result-item">
                    <strong>Age Difference:</strong> ${data.result.difference.toFixed(1)} years
                </div>
                <div class="result-item">
                    <strong>Health Status:</strong> ${getHealthStatus(data.result.difference)}
                </div>
            `;
            
            resultsDiv.style.display = 'block';
        }
        
        function getHealthStatus(difference) {
            if (difference < -5) return 'Excellent - Younger biological age';
            if (difference < -2) return 'Good - Slightly younger biological age';
            if (difference < 2) return 'Normal - Age-appropriate biological age';
            if (difference < 5) return 'Fair - Slightly older biological age';
            return 'Poor - Significantly older biological age';
        }
    </script>
</body>
</html>

Support & Troubleshooting

Common Issues

Testing Your Integration

1. Validate Date Formats: Ensure all dates use YYYY-MM-DD format
2. Check Biometric Ranges: Verify biometric values are realistic and within expected ranges
3. Test Both Endpoints: Test both ChronoAge and PhenoAge calculations
4. Error Handling: Implement proper error handling for API responses

Debug Mode

Enable detailed logging for troubleshooting:

// Enable detailed logging
const debugMode = true;

async function calculateAge(data) {
    if (debugMode) {
        console.log('Request data:', data);
    }
    
    try {
        const response = await fetch('https://api.lincolncannon.co/biometric/calculate', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
                'Origin': window.location.origin,
                'x-api-key': process.env.API_KEY
            },
            body: JSON.stringify(data)
        });
        
        if (debugMode) {
            console.log('Response status:', response.status);
        }
        
        const result = await response.json();
        
        if (debugMode) {
            console.log('Response data:', result);
        }
        
        return result;
    } catch (error) {
        console.error('API Error:', error);
        throw error;
    }
}

Getting Help

If you encounter issues with the Biometric Calculator API:

1. Check Documentation: Review this guide for parameter requirements
2. Validate Input Data: Ensure all required fields are provided with correct formats
3. Test with Sample Data: Use the provided examples to verify your implementation
4. Contact Support: Reach out to Lincoln Cannon LLC for technical assistance

Performance Considerations

• Response Time: API responses typically complete within 1-2 seconds
• Rate Limiting: Implement appropriate rate limiting in your applications
• Caching: Consider caching results for repeated calculations with the same parameters
• Batch Processing: For multiple calculations, consider implementing batch processing

Need Professional Assistance?

Lincoln Cannon LLC provides custom biometric analysis solutions and integration services. Contact us to discuss your specific requirements and get expert guidance for your implementation.