Cure

AI-powered precision oncology platform for cancer treatment, clinical decision support, and research.

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Installation

npm install -g @erosolaraijs/cure

Quick Start

# Launch interactive AI oncologist
cure

# Set your AI provider (xAI or OpenAI)
/model openai
/key YOUR_API_KEY

# Generate a cure protocol
/cure NSCLC IV KRAS_G12C

Features

Interactive AI Oncologist

Chat with an AI-powered oncology assistant for:

• Treatment recommendations based on cancer type, stage, and biomarkers
• Drug mechanism explanations
• Clinical trial guidance
• Biomarker interpretation

Multi-Provider Support:

• xAI Grok (grok-4-1-fast-reasoning) - Default
• OpenAI GPT-5.1 (gpt-5.1) - Alternative

Switch providers at runtime with /model xai or /model openai.

Comprehensive Cancer Coverage

Core Capabilities

Patient Analysis (/analyze)

• Genomic profiling and biomarker assessment
• Risk stratification and survival prediction
• Treatment response modeling
• MSI/TMB/HRD status analysis

Treatment Planning (/plan)

• NCCN, ESMO, ASCO protocol integration
• Personalized treatment recommendations
• Multi-modality planning (surgery, radiation, systemic)
• Timeline and monitoring schedules

Cure Protocol Generation (/cure)

• Comprehensive cure strategies by cancer type and stage
• Drug target prioritization with evidence levels
• Immunotherapy protocol matching
• Projected outcomes (response rate, 5-year survival, cure confidence)

Drug Target Discovery (/discover)

• AI-driven target identification
• Evidence-based prioritization (FDA-approved, clinical trials, preclinical)
• Pathway analysis
• Approved drug matching

Clinical Trial Matching (/trials)

• ClinicalTrials.gov integration
• Biomarker-based eligibility matching
• Location-aware search
• Phase and status filtering

Drug Safety (/safety)

• Drug-drug interaction checking
• Black box warning alerts
• QT prolongation risk assessment
• Pharmacogenomic considerations (DPYD, UGT1A1, TPMT/NUDT15)

ML Outcome Prediction (/predict)

• Response prediction (CR, PR, SD, PD)
• Survival estimates (PFS, OS with confidence intervals)
• Toxicity risk assessment
• Resistance prediction

EHR Integration

Connect to hospital systems via HL7 FHIR R4:

/ehr connect epic
/ehr connect cerner

Supported Systems:

• Epic
• Cerner

Data Exchange:

• Patient demographics
• Cancer diagnoses (ICD-10)
• Biomarker results
• Treatment history
• Medication records

Genomic Platform Integration

/genomics platforms

Supported Platforms:

• Foundation Medicine (FoundationOne CDx)
• Guardant Health (Guardant360, GuardantOMNI)
• Tempus (xT, xF, xR)

Analysis Types:

• Somatic variant detection
• Copy number alterations
• Gene fusions
• MSI/TMB analysis
• Therapy matching

HIPAA Compliance

• End-to-end encryption
• PHI masking and de-identification
• Audit logging with 7-year retention
• Role-based access control
• Consent management

CLI Commands

AI Chat Commands

Clinical Commands

System Commands

Tool Commands

Programmatic API

import {
  CancerTreatmentCapabilityModule,
  createOncologyPlatform,
  FHIRClient,
  ClinicalTrialsGovClient,
  OutcomePredictorService,
  DrugSafetyService,
  HIPAAComplianceService
} from '@erosolaraijs/cure';

// Quick start with full platform
const platform = await createOncologyPlatform({
  ehr: {
    enabled: true,
    vendor: 'epic',
    baseUrl: 'https://epic.hospital.org/fhir',
    clientId: 'your-client-id'
  },
  genomics: {
    enabled: true,
    platforms: ['foundation', 'guardant', 'tempus']
  },
  clinicalTrials: {
    enabled: true,
    maxDistance: 100
  },
  ml: {
    enabled: true,
    modelVersion: '1.0.0'
  },
  safety: {
    enabled: true,
    strictMode: true
  },
  compliance: {
    enabled: true,
    auditRetentionDays: 2555
  }
});

// Generate comprehensive treatment plan
const plan = await platform.generateComprehensivePlan(patient, 'DR001');

Core Module Usage

// Cancer treatment capability
const capability = new CancerTreatmentCapabilityModule();

// Analyze patient
const analysis = await capability.analyzePatient('P001', true);

// Generate cure protocol
const cure = await capability.cureCancer('P001', 'Lung', 'IV', {
  mutations: ['EGFR', 'TP53'],
  biomarkers: ['PD-L1'],
  msiStatus: 'MSS',
  tmbLevel: 'High'
});

// Discover drug targets
const targets = await capability.discoverDrugTargets('Melanoma', 'BRAF');

Individual Services

// EHR Integration
const fhir = new FHIRClient(config);
const patient = await fhir.getPatient('12345');
const conditions = await fhir.getConditions('12345');

// Clinical Trials
const trials = new ClinicalTrialsGovClient();
const matches = await trials.searchTrials({
  condition: 'Non-Small Cell Lung Cancer',
  intervention: 'pembrolizumab',
  status: 'RECRUITING'
});

// ML Predictions
const predictor = new OutcomePredictorService();
const response = await predictor.predictResponse(patientFeatures, treatmentFeatures);

// Drug Safety
const safety = new DrugSafetyService();
const interactions = await safety.checkInteractions(['pembrolizumab', 'ipilimumab']);

// HIPAA Compliance
const hipaa = new HIPAAComplianceService();
await hipaa.logAccess(userId, patientId, 'VIEW', 'Clinical review');

Environment Variables

Supported Cancer Types

Emerging Therapeutics

The platform includes cutting-edge treatment modalities:

• Antibody-Drug Conjugates (ADCs): T-DXd, sacituzumab govitecan
• Bispecific Antibodies: teclistamab, glofitamab
• CAR-T Therapies: axi-cel, liso-cel, ide-cel
• Tumor-Infiltrating Lymphocytes (TILs): lifileucel
• KRAS Inhibitors: sotorasib, adagrasib
• Protein Degraders: PROTACs, molecular glues
• Radiopharmaceuticals: Lu-177 PSMA, I-131 MIBG
• Cancer Vaccines: mRNA-4157, personalized neoantigen vaccines

Requirements

• Node.js >= 18.0.0

License

MIT

Links

• npm Package
• Report Issues