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Company / Competitor

Deep 6 AI

Mentioned in 8 AI use cases across 1 industries

Active Industries

pharmaceuticalsbiotech8

AI Patterns

Patient eligibility screening and prioritization1semantic matching and eligibility reasoning over unstructured text1Clinical document understanding and rules-based eligibility matching for patient-trial fit detection.1rule attribution and what-if analysis1document understanding plus matching plus continuous monitoring1

Tech Stack

Eligibility criteria from completed oncology trialsReal-world survival endpointsLaboratory value filtersSHAP reference in study citationsOpen-source GitHub implementationNatural language processingFederated learningMulti-agent systems

Also Competes With

TriNetXIQVIAMedidataTempusCriteria2QueryEliIEMendel.aiFlatiron Health

Use Cases Mentioning Deep 6 AI

pharmaceuticalsbiotechPatient eligibility screening and prioritization

AI-assisted patient recruitment and targeted trial enrollment within health systems

It helps study teams spot patients in a hospital system who may fit a trial, so they can focus outreach on the right people faster.

pharmaceuticalsbiotechsemantic matching and eligibility reasoning over unstructured text

LLM-assisted patient-to-clinical-trial matching from eligibility criteria and patient records

An AI reads the rules for who can join a clinical trial and compares them with a patient’s medical information to help find good trial matches faster.

pharmaceuticalsbiotechClinical document understanding and rules-based eligibility matching for patient-trial fit detection.

AI-assisted oncology clinical trial participant prescreening

An AI system reads patient chart information and quickly flags people who might qualify for oncology trials, instead of relying only on manual staff review.

pharmaceuticalsbiotechrule attribution and what-if analysis

Automated rule-level assessment of trial exclusion criteria impact

Instead of treating all trial rules as equally important, AI checks each rule one by one to see which ones exclude lots of people without changing outcomes much.

pharmaceuticalsbiotechdocument understanding plus matching plus continuous monitoring

Agentic AI for clinical trial patient recruitment and data analysis

AI agents read trial rules, search patient records safely, find eligible participants, and combine incoming trial data so teams can make decisions faster.