Detect oral cancer. Predict recurrence with confidence.

AI-powered digital pathology for oral cancer diagnosis and post-treatment prognosis.

Explore PlatformTalk to Team
LNTDOral cancer detection
MILPRecurrence prediction
WSISupport .ndpi · .svs · .tiff · .czi
LIMEExplainable AI segments

Why 9DA?

The Clinical Challenge

  • Lack of Reliable Prediction MethodsPredicting outcomes and recurrence risk after oral cancer treatment remains a significant challenge. Current pathological information (LVI, ENE, or BNI) is informative, but not indicative enough for accurate recurrence prediction.
  • Shortage of pathologists and limited resourcesThe critical shortage of trained pathologists, especially in resource-limited settings, delays diagnosis and treatment initiation when timely intervention matters most.
  • Variability in Pathological AssessmentDifferent pathologists often reach different diagnostic conclusions on the same tissue sample. This interobserver variation can lead to missed early signs of malignancy and delayed treatment initiation.

Our Approach

9DA has developed a deep learning-based platform for oral cancer diagnosis and recurrence prediction, which reduces the workload of existing clinical staff and enhances patient treatment outcomes.

Our Vision

We are building a deep learning platform that assists clinicians make faster, more accurate treatment decisions for oral cancer patients.

Integrated Workflow

One platform for oral cancer care

From slide upload to diagnosis and recurrence prediction — built as a connected clinical ecosystem.

01

Upload & manage

Whole-slide pathology images in a secure cloud workflow for distributed clinical teams.

02

Diagnose with LNTD

Classify oral cancer vs. non-cancer cases with segmentation maps and clinical reports.

03

Prognose with MILP

Predict early vs. late recurrence, then review LIME highlights of the regions that drove each prediction.

Detect Oral Cancer and Recurrence Reliably

Systemically & Reliably

The 9DA platform stands for deep learning-supported diagnostic tool – all in one system. We offer an online system to detect oral cancer and to predict recurrence. Physicians simply upload their whole-slide scanned pathology images onto the platform to detect the presence of oral cancer. To get an overview of patient post-treatment status, selecting regions of interest on whole-slide images can provide insights into prognosis.

WSISupports any WSI
SecureCloud workflow
TeamCollaborative review
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Detect the Presence of Oral Cancer

Simpler. Faster.

Our diagnostic tool, LNTD, classifies patients into cancer and non-cancer cases — reducing unnecessary referrals, biopsies, and specialist consultations so clinicians can focus on patients who need urgent care.

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Predict Oral Cancer Recurrence

Efficient. Revolutionary. Explainable.

MILP accepts brightfield and/or confocal H&E-stained pathology images for post-treatment recurrence analysis. It predicts early vs. late/no recurrence, then highlights the regions that led the model to each prediction.

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Research-based, trust-first

Built on rigorous science

Research-backed AI models

LNTD and MILP were developed on oral cancer pathology datasets as part of our ongoing research and validation work.

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Early Bird pilot for clinical teams

Join our pilot to validate workflows, receive priority onboarding, and lock in lifetime pricing benefits.

Join pilot

Explainable, not black-box AI

MILP predicts recurrence risk first, then uses LIME to highlight the regions that led each prediction — keeping mechanisms visible and reviewable.

Learn about MILP

Our Team

Meet the people building next-generation medical AI

CSC

Chui Shan Chu

Founder & CEO

Chui Shan Chu is the founder of 9D Arrays. She obtained 7 research and industrial awards, including one from the Hong Kong Cyberport. Ibrahim joins her to develop machine learning models for cancer detection. Chui Shan Chu holds a BSc in Chemistry from the University of Sydney, Australia, and MMedSc in Clinical Physics and PhD in Oncology from the University of Hong Kong. She is registered as a graduate statistian (GradStat) in the Hong Kong Statistical Society.

Chui Shan Chu

Founder & CEO

IS

Ibrahim Salameh

Co-Founder & CTO

Ibrahim is the co-founder of 9D Arrays. He has experience in computer engineering and data science. Chui Shan Chu describes him as a great programmer because he is easy to communicate and excellent at programming. Ibrahim holds a BSc in Computer Engineering and MSc in Big Data Analytics from reputable universities in the Middle East.

Ibrahim Salameh

Co-Founder & CTO

OW

Oceana Wong

Advisor

Oceana has experience in venture capital and management consulting, with a focus on emerging technologies and strategic growth. She is currently a cohort member of the Cyberport Creative Micro Fund (CCMF) in Hong Kong and serves as advisor to Bevatech, a biotechnology startup that won a gold medal in the 2024 iGEM competition. Oceana holds a BA in Economics from Cornell University with a Minor in Business and Music, and is a Certified Financial Risk Manager (FRM). She is fluent in Mandarin, Cantonese, and English. In her leisure time, you will find her throwing kicks at her local Muay Thai gym.

Oceana Wong

Advisor

Early Bird Pilot Program

Join Us to Outline the Future of
Diagnostics for Oral Cancer

Priority Support

Get direct platform onboarding, workflow configuration, and rapid technical troubleshooting from 9DA builders.

Lifetime Discount

Lock in a permanent 20% discount on future paid subscriptions after your pilot period.

Storage

Store up to 100 GB of data securely at our platform, with room for early pilot growth.

AI Analysis Jobs

Run up to 10 AI-powered analyses every month to validate use cases and clinical workflows.

Become Our Partner

We are open to collaborate with any parties for improving patient outcomes

Send us a message

Contact Information

Address

Unit E G/F Koon Wah Building
Yuen Chau Kok, Shatin
Hong Kong

Working Hours

Monday - Friday: 9:00 AM - 6:00 PM