Promoting the betterment of patient health and outcomes

Deep Learning based platform for oral cancer detection and recurrence prediction

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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 resourcesEven experienced clinicians cannot reliably determine prognosis using pathological information such as lymphovascular invasion (LVI), extracapsular nodal extension (ENE), or perineural invasion (BNI). These features, while informative, are not indicative for accurate recurrence prediction.
  • 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.

9DA Solutions

Digital Pathology Platform

Upload, annotate and share WSIs. Centralize your digital pathology assets in one secure workflow.

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Diagnosis for Oral Squamous Cell Carcinoma

Our promising diagnosis app (LNTD) can classify patients into cancer case and non-cancer case, relieving the burden and stress of healthcare systems.

Our models achieved 98.6% accuracy and 98.8% confidence.

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Prognosis Prediction for Oral Squamous Cell Carcinoma

Medical professionals can use our prognosis app (MILP) to monitor the post-treatment status of oral cancer patients, keeping them away from cancer to feel the true joy of life.

Our models achieved 95% accuracy with 94.4% confidence. With 9DA MILP, 86% of patients with oral cancer recurrence can be detected.

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Our Team

Meet the people building next-generation medical AI

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Chui Shan

Founder & CEO

Chui Shan 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 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

Founder & CEO

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Ibrahim Salameh

Co-Founder & CTO

Ibrahim is the co-founder of 9D Arrays. He has experience in computer engineering and data science. Chui Shan 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

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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 the Future of
Oral Cancer
Diagnosis & Prognosis

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.

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

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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