Accelerate Medical Research
with Specialized AI
From literature synthesis to clinical trial design, DeepCog AI compresses years of research workflows into days — trained on 42 million peer-reviewed papers and fine-tuned with expert clinical evaluations.
AI across every research frontier
Systematic Literature Review
Screen and synthesize thousands of papers in hours. DeepCog extracts key findings, identifies contradictions, and generates structured evidence tables from PubMed, Cochrane, and EMBASE — with full citations.
Clinical Trial Design & Protocol
Generate CONSORT-compliant trial protocols, inclusion/exclusion criteria, statistical analysis plans, and regulatory submission documents — grounded in current ICH and FDA guidelines.
Genomics & Variant Research
Annotate VCF files, classify variants of uncertain significance, identify phenotype-genotype correlations, and generate ClinVar-ready interpretation reports using GenomicLLM-7B.
Drug Discovery & Development
ADMET property prediction, scaffold hopping, target identification, and regulatory pathway mapping — powered by DrugDiscovery-LLM trained on 10M+ compounds from ChEMBL and PubChem.
Biomarker Discovery & Validation
Identify novel diagnostic and prognostic biomarkers from multi-omics datasets. AI-assisted correlation analysis across genomic, proteomic, and clinical variables at population scale.
Regulatory Writing & Submission
AI-assisted drafting of IND/NDA summaries, CSRs, risk management plans, and PSUR documents — aligned to EMA, FDA, and CDSCO submission requirements with traceable source citations.
From raw data to publishable insight
DeepCog's Research Platform integrates directly with your existing data infrastructure — PubMed, clinical databases, genomics pipelines, and EHR data warehouses — delivering AI-powered synthesis and generation within your existing workflow.
- Direct PubMed, EMBASE, ClinicalTrials.gov, and Cochrane integration
- FHIR-native real-world data analysis and cohort building
- Collaborative research workspace with version control and audit trail
- Citation management with DOI verification and reference formatting
- Export to LaTeX, Word, or structured JSON for downstream tools
- IRB-ready de-identification pipeline for patient data analysis
# Systematic literature review in 3 lines
review = LitReview(
query="SGLT2 inhibitors HFpEF outcomes",
sources=["pubmed", "cochrane"],
max_papers=500
)
result = review.synthesize()
# → PICO table, 47 studies, evidence grade
# Generate trial protocol
protocol = TrialDesign(
hypothesis=result.top_hypothesis,
standard="ICH-E8",
phase=3
).generate()
# → CONSORT protocol, SAP, CRF templates
Pre-built pipelines for every research workflow
Evidence Synthesis
Automated PRISMA-compliant systematic reviews with quality assessment, heterogeneity analysis, and forest plot generation.
Cohort Identification
Natural language queries over FHIR data to build trial-ready cohorts with automated eligibility verification and stratification.
Hypothesis Generation
AI scans literature gaps and cross-domain findings to surface novel, testable hypotheses with supporting evidence chains.
Statistical Analysis Planning
Power calculations, endpoint selection, and SAP generation aligned to your trial phase and regulatory jurisdiction.
Variant Annotation Pipeline
End-to-end VCF ingestion, ACMG classification, and clinical report generation for genomics research teams.
Publication Drafting
AI co-author that drafts methods, results, and discussion sections from your data — in the style of target journals.
Trusted by leading research institutions
"What used to take our team 6 weeks of manual literature search now takes DeepCog 4 hours — with better coverage and no missed key papers. It has fundamentally changed how we begin every study."
"The variant annotation pipeline classified 2.4 million variants in our cohort over a weekend. The clinical interpretations matched our expert panel's assessments with 97% concordance."
"DeepCog identified a hypothesis connecting gut microbiome dysbiosis to treatment-resistant hypertension that our team hadn't considered. That lead is now a funded Phase 2 trial."
Accelerate your next medical breakthrough
Request research platform access and have a proof-of-concept pipeline running on your data within 48 hours.