About Clarux AI

Redefining Breast Cancer
Screening with AI

Founded by a cross-disciplinary team from National Central University, combining expertise in medical imaging, AI technology, and clinical practice.

Our Mission

To empower radiologists and medical institutions with AI-driven diagnostic tools that improve the accuracy, speed, and accessibility of breast cancer screening — ensuring no cancer goes undetected.

Our Vision

A future where every woman — regardless of geography or access to medical resources — can benefit from early and accurate breast cancer screening, powered by AI technology built for women everywhere.

Our Team

Dr. Yi-Chiung Hsu

Principal Investigator

PhD in Pharmacology from National Yang Ming University. Professor at NCU Biomedical Engineering. Board Supervisor of Taiwan Exosome Society. PI of Ministry of Education Biomedical Data Analysis Program.

Dr. Yi-Chiung Hsu

Dr. Jia-Ching Wang

AI Technology Lead

PhD in Electrical Engineering from NCKU. Distinguished Professor at NCU Computer Science. Director of NCU Innovative AI Research Center. PI of NSTC AI Program.

Dr. Jia-Ching Wang

Dr. Chen-Yen Chung

Medical Advisor

PhD in Immunology from University of Edinburgh. Assistant Professor at Soochow University. Founder of BioMed Inc. Executive Director of HaoYun Biomedical.

Dr. Chen-Yen Chung

Milestones

Jul – Dec 2025

Multi-lesion Model Development

Develop classification models covering multiple breast lesion types. Internal testing and platform stability optimization.

Aug 2025 – Jan 2026

Clinical Validation Testing

Contact medical institutions for multi-center clinical data testing to ensure system effectiveness in real clinical environments.

Oct 2025 – Mar 2026

Nationwide Data Validation

Collaborate with Taiwan NHA to initiate nationwide data validation including model fine-tuning and performance verification.

Jan – Jun 2026

TFDA Registration Preparation

Prepare technical documentation, risk assessment, QMS documents, and performance reports for SaMD regulatory submission.

Feb – Jun 2026

Market Development

Participate in domestic and international exhibitions. Establish spin-off company and conduct business development.

Oct 2025 – Jun 2026

Healthcare System Integration

Interview potential users and decision makers. Evaluate front-end deployment with partner hospitals for smooth commercialization.

Jul – Dec 2025

Multi-lesion Model Development

Develop classification models covering multiple breast lesion types. Internal testing and platform stability optimization.

Aug 2025 – Jan 2026

Clinical Validation Testing

Contact medical institutions for multi-center clinical data testing to ensure system effectiveness in real clinical environments.

Oct 2025 – Mar 2026

Nationwide Data Validation

Collaborate with Taiwan NHA to initiate nationwide data validation including model fine-tuning and performance verification.

Jan – Jun 2026

TFDA Registration Preparation

Prepare technical documentation, risk assessment, QMS documents, and performance reports for SaMD regulatory submission.

Feb – Jun 2026

Market Development

Participate in domestic and international exhibitions. Establish spin-off company and conduct business development.

Oct 2025 – Jun 2026

Healthcare System Integration

Interview potential users and decision makers. Evaluate front-end deployment with partner hospitals for smooth commercialization.