Solutions / Research

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.

42M+ Papers Indexed
🧪

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.

FDA / ICH Aligned
🧬

Genomics & Variant Research

Annotate VCF files, classify variants of uncertain significance, identify phenotype-genotype correlations, and generate ClinVar-ready interpretation reports using GenomicLLM-7B.

ACMG 2015 Compliant
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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.

10M+ Compounds
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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.

Multi-Omics
📝

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.

EMA / FDA / CDSCO

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
Request Research Access →
// DEEPCOG RESEARCH API · PYTHON SDK
from deepcog.research import LitReview, TrialDesign

# 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.

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Hypothesis Generation

AI scans literature gaps and cross-domain findings to surface novel, testable hypotheses with supporting evidence chains.

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Statistical Analysis Planning

Power calculations, endpoint selection, and SAP generation aligned to your trial phase and regulatory jurisdiction.

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Variant Annotation Pipeline

End-to-end VCF ingestion, ACMG classification, and clinical report generation for genomics research teams.

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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."

📚
Prof. Vijay Sharma
Head of Clinical Research, AIIMS New Delhi

"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."

🧬
Dr. Lakshmi Rao
Genomics Lead, Institute of Genomics & Integrative Biology

"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."

🔬
Dr. Arjun Menon
Principal Investigator, IIT Madras BioAI Lab
42M+
Medical Papers in Training Corpus
6 weeks → 4hrs
Literature Review Time
97.4%
Variant Classification Concordance
10M+
Compounds in Drug Discovery DB

Accelerate your next medical breakthrough

Request research platform access and have a proof-of-concept pipeline running on your data within 48 hours.

Request Research Access → Explore Research Models