Experimental Research Tool
NCCN 2025-2026 Guidelines Integrated

AI-Powered OncologyDecision Support

Evidence-based treatment recommendations from 368 clinical scenarios across 23 tumor types, powered by advanced hybrid RAG retrieval.

93%
Target Accuracy
368
Clinical Scenarios
23+
Tumor Types
<3s
Response Time
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The Challenge

Oncology Treatment Decisions Are Complex

Keeping up with rapidly evolving guidelines across dozens of tumor types is a daily challenge.

Guidelines Are Complex

Hundreds of pages across multiple tumor types with frequent updates

Time-Consuming to Search

Finding the right protocol for a specific clinical scenario takes valuable time

Risk of Missing Updates

New approvals and guideline changes can impact treatment decisions

The Solution

OncoIA: Your Clinical Decision Partner

AI-powered retrieval of the most relevant NCCN guideline scenarios for your patient, with evidence-based recommendations in seconds.

How It Works

From clinical question to evidence-based recommendation in three steps

1

Describe Your Case

Enter patient details including tumor type, stage, biomarkers, and treatment history. Use natural language or structured input.

2

AI Analysis

Hybrid RAG retrieves the 25 most relevant clinical scenarios using dense embeddings + BM25, fused with Reciprocal Rank Fusion.

3

Get Recommendations

Receive treatment recommendations with confidence levels, supporting evidence, trial references, dosing, and toxicity management.

Comprehensive Clinical Intelligence

Everything you need for evidence-based oncology decision support

NCCN Guidelines 2025-2026

Latest treatment algorithms and clinical pathways from the National Comprehensive Cancer Network.

23+ Tumor Types

Comprehensive coverage from common (lung, breast, colorectal) to rare tumors (mesothelioma, neuroendocrine).

Drug Dosing & Toxicity

Detailed dosing regimens, dose modifications, and grade-based toxicity management protocols.

Biomarker-Driven

EGFR, HER2, BRCA, ALK, ROS1, MSI, TMB, NTRK, RET, BRAF, PD-L1 and more for precision oncology.

Drug Interactions

CYP450 interactions, QTc risks, renal/hepatic dose adjustments, and special population guidelines.

Export to PDF

Download consultation reports as professional PDFs with recommendations, evidence, and guideline references.

See OncoIA in Action

Ask a clinical question and get an evidence-based recommendation

oncoia.com/query

Clinical Query

Stage IV NSCLC with EGFR exon 19 deletion, no prior systemic therapy. Brain metastases present. What is the recommended first-line treatment?

Treatment Recommendation
HIGH25 sources

For Stage IV NSCLC with EGFR exon 19 deletion and brain metastases, the preferred first-line treatment is Osimertinib 80 mg PO daily (NCCN Category 1, FLAURA trial). Osimertinib demonstrates superior CNS penetration and efficacy for brain metastases compared to earlier-generation EGFR TKIs...

Supporting Evidence

1FLAURA: Osimertinib vs erlotinib/gefitinib, median PFS 18.9 vs 10.2 months
2CNS ORR 91% with osimertinib in patients with brain metastases
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Built by oncologists, for oncologists

Raphael Brandão, MD

Medical Oncologist · Clinical Computational Oncology

Chief of Oncology, São Camilo Hospital Network, São Paulo

Dana-Farber Cancer Institute / Harvard Medical School

Physician-scientist building AI tools for oncologists. OncoIA integrates clinical guidelines with machine learning to support treatment decisions at the bedside — built from 15 years of clinical practice, 80+ peer-reviewed publications, and research in immuno-oncology and early cancer detection.

Medical OncologyClinical Computational OncologyImmuno-Oncology

23+ Tumor Types Covered

Comprehensive clinical scenarios across all major malignancies

Lung (NSCLC/SCLC)
Breast
Colorectal
Melanoma
Prostate
Leukemia
Lymphoma
Myeloma
Renal Cell
Bladder
Head & Neck
Pancreatic
Gastric/GEJ
Hepatobiliary
CNS/Brain
Thyroid
Gynecologic
Sarcoma
Testicular
Mesothelioma
Neuroendocrine
Skin (Non-Melanoma)
Merkel Cell

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