In October 2024, our team visited Guangzhou Pharmaceutical University to engage in an in-depth discussion with Professor Lan Tian’s team and the Director of the Imaging Department at Sun Yat-sen University Cancer Center. The meeting focused on personalized liver cancer treatment and deep learning technologies, providing us with new insights and inspiration for applying artificial intelligence in the field of liver cancer diagnosis and treatment.
Our Technical Highlights
- Development of Personalized Liver Cancer Treatment Plans:
Our deep learning service integrates imaging, pathology, and genomic data to offer comprehensive disease assessments and precise treatment recommendations for patients. Utilizing advanced deep learning models, the system can automatically analyze liver images, recommend targeted therapies, predict treatment efficacy, and provide prognostic evaluations. - Assisting Physicians in Treatment Planning:
The system supports a similar patient search function, providing physicians with reference cases to help optimize treatment plans. It also enables real-time monitoring of treatment responses to ensure that patients receive the most appropriate therapy. - Progress in Clinical Validation:
Currently, our solution is undergoing multi-center clinical validation to ensure its feasibility and safety in real-world clinical settings
Through this technical exchange, we have further strengthened our connections with experts in academia and the clinical field, laying a solid foundation for advancing precision medicine in liver cancer. We look forward to collaborating with more partners to jointly usher in a new chapter of integrating artificial intelligence with healthcare.