Hybrid Human-Machine Intelligence

We built SHARE, a Safe Human-AI Research Environment, to make AI trustworthy and safe for healthcare and research. Every AI-generated insight is validated before it informs a decision. Because in medicine, getting it right isn't optional.

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See SHARE in Action

Watch a real analysis go from raw data to validated results in minutes.

Follow the demo by yourself !

WHY SHARE

Built Different from the Ground Up

SHARE is not just another AI tool. It is a complete research environment where speed, rigor, safety, and expertise converge.

>1,000x

Blazing-Fast Discovery

Analyses that used to take teams of bioinformaticians 3 to 6 months now complete in minutes. Even terabyte-scale datasets are handled in real time, turning raw data into publishable insights on the spot.

~1 TB per dataset ~10 min full analysis ~5s AI response
100%

Reproducible by Design

Every analysis step is logged with full provenance. Parameters, data versions, and computational steps are recorded automatically, so any result can be reproduced exactly. No more "it worked on my laptop" problems.

Audit trail Version control Standardized pipelines
3 Layers

Safety You Can Trust

Every AI output passes through statistical validation, literature cross-referencing, and human expert review before it counts. Nothing reaches a clinical or research decision without being checked, verified, and approved.

Statistical validation Literature search Human approval
Your Way

Expert-Driven Exploration

You steer the analysis with your domain knowledge. Ask follow-up questions, adjust parameters, explore unexpected patterns. The AI adapts to your expertise, not the other way around. Every discovery is shaped by the people who understand the science.

Natural language No coding Domain-customized
HOW IT WORKS

How SHARE Works

You ask. AI computes. Three safety layers validate every answer before it reaches you.

1 + 1 = >2 YOU Ask in plain language No coding needed Clinicians · Biologists · Students · Patients SHARE AI computes your analysis then validates through 3 safety layers below ~10s compute · ~5s response RESULT Validated output You review and approve Auditable · Reproducible · Trustworthy refine · follow up · go deeper BUILT-IN SAFETY LAYERS LAYER 1 Statistical Validation Automated p-values, FDR, confidence intervals, QC checks LAYER 2 Literature Search Cross-references findings against published research and databases LAYER 3 Human Expertise Domain experts review, question, and approve every result Every AI output passes through all three layers before reaching you. Nothing is a black box. AUDITABLE · REPRODUCIBLE · FAIR

You bring the expertise. AI handles the rest.

Every result is verified by statistics, checked against published research, and approved by you before it counts.

Simple

No coding, no special training. Just ask questions about your data in plain language and get publication-ready results.

Trustworthy

Built-in statistical checks, literature validation, and human approval at every step. Nothing is a black box.

CAPABILITIES

What SHARE Can Do

01

Trustworthy Research Platforms

AI-powered research tools where every result is validated, auditable, and reproducible. From gene expression to drug design, built for real science.

+CONVERGE-AI for gene expression analysis
+SpatialDraw for spatial tissue analysis
+DrugAI for drug discovery
+SpatialAtlas for cross-disease comparison
+Custom platforms for your project
02

Idea-to-Product Platforms

Ideal for clinical trials with complex data and multiple stakeholders. A central place where ideas, data, and decisions come together.

+Multimodal data integration
+Treatment plan development
+Clinical trial design
+Cross-team collaboration hub
+Bench to bedside pipeline
03

Safeguards for Any AI Platform

Add SHARE's trustworthiness layers to your existing AI tools. We provide the safety environment so your AI can be trusted in high-stakes settings.

+Trustworthy validation layers
+Safe execution environments
+Audit trails for any AI output
+Fairness and bias detection
+Plug into existing workflows
VALIDATED ACROSS

Oncology

Predicting cancer therapy outcomes

Neurodegeneration

Early detection of Alzheimer's disease

Infectious Disease

Designing new antivirals for hepatitis

Translational

Bridging lab discoveries to patient care

Let's Talk

Interested in a demo, a collaboration, or just want to learn more? We'd love to hear from you.

jinai.llc888@gmail.com guangxu.jin@wfusm.edu (336) 713-7515 (336) 528-4228 Winston-Salem, NC

Wake Forest University School of Medicine · Jin Lab · JINAI L.L.C.

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