CLINICAL RESEARCH · DATA SCIENCE · RESPONSIBLE AI
From clinical questions to evidence teams can act on.
Veralux connects responsible AI assistance with clinical research, medical, biostatistical, data and governance expertise—so complex work can move through one accountable evidence pathway.
Question → Data → Review → Evidence → Action
Clinical questions lose momentum when evidence work is fragmented.
Fragmented Expertise and Systems
Clinical, medical, statistical, data, operational and governance expertise often sit in separate teams and tools.
Slow, Manual Evidence Operations
Physician outreach, data capture, reconciliation, quality review and analysis often require repeated manual handoffs.
The Evidence-to-Action Gap
Research can end as a report without becoming a clear education, access, operational or funding action plan.
One accountable path from question to action.
01 Frame
Research question · Target population · Endpoints · Decision needs · Compliance and governance boundaries
02 Build
Study design · Survey or program workflow · Data structure · Analysis plan · Expert review
03 Reach & Verify
Physician, hospital or research-center reach · Data return · De-identification · Structuring · AI-assisted quality review · CRC, CRA or professional verification
04 Analyze & Act
Biostatistics · Medical interpretation · Bilingual delivery · Research reporting · Action maps · Education, access and workflow recommendations
AI accelerates the workflow. Experts retain scientific judgment, human review and final accountability.
Two developing products. One ongoing evidence program.
Product 01 — AI Health Consulting
In Development · Product Demonstration
Research Question → Study Design → Physician Reach → Data Capture → Quality Review → Analysis → Evidence Delivery
AI may assist research planning, reach and return, medical-logic and consistency checks, anomaly-pattern identification and report organization. Professionals retain study design, medical judgment, statistical interpretation, anomaly review and final report sign-off. Intended outputs may include a study plan, de-identified data, a data dictionary, quality records, statistical analysis, bilingual reporting and action recommendations.
Product 02 — Clinical Data Secure Bridge
In Development · Product Demonstration
Hospital Data Sources → Read-Only Access → De-identify & Structure → CRC Verification → AI-Assisted Anomaly Detection → CRA / CRC Resolution → Controlled EDC Handoff
Only authorized, de-identified and governance-approved data may be used for model improvement. No automatic training.
BRAF V600E Testing Landscape
An ongoing evidence program across colorectal cancer and non-small cell lung cancer, examining physician awareness, testing behavior and methods, in-house and send-out channels, turnaround time, payment and patient burden, hospital and regional variation, feasibility, access barriers, bilingual reporting and an action map. Findings are not yet available.
Why Veralux
Interdisciplinary Expertise — Clinical research, public health, economics, biostatistics, data, legal governance and AI project delivery work together.
Agentic Workflow, Human Accountability — Agentic workflows accelerate repeatable work while professionals retain critical judgment, review and final accountability.
China Clinical Delivery Backbone — Established clinical operations, medical writing, biostatistics, data management, IVD, regulatory, quality-management, physician-reach and field-execution capability.
Cross-Border, Bilingual Execution — North American research design, project management and cross-border governance connect with China clinical delivery and bilingual outputs.
An interdisciplinary team for evidence, governance and delivery.
Our interdisciplinary team brings together Johns Hopkins public health backgrounds, a University of North Carolina PhD in economics, New York University backgrounds, and an earned Juris Doctor (JD), alongside experience in clinical research, data analysis, legal governance, and AI-enabled project delivery.
Academic and professional backgrounds only. No institutional endorsement is implied.
Public Health and Clinical Research
Economics and Program Evaluation
Biostatistics and Data Science
Legal and Cross-Border Governance
AI Workflow and Product Delivery
China Clinical Operations