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We are committed to deeply integrating “industry, academia, research, and medicine,” closely combining theoretical research with clinical practice. We are not only technology developers but also explorers in the medical field. Our collaboration with top-tier hospitals allows us to directly address real-world medical challenges, ensuring that our technologies and products genuinely serve clinical needs and create actual value.

Empowering Smart Healthcare, Driving Specific Disease Research

One of our core activities is the development of large models for specific disease areas. We firmly believe that the value of artificial intelligence in healthcare lies not only in enhancing general capabilities but also in providing deep insights and precise empowerment for specific diseases. Data Integration and Governance: We collaborate closely with leading top-tier hospitals to systematically aggregate and integrate multi-source heterogeneous clinical data, including but not limited to:

• Medical Imaging Data: High-resolution images such as pathology pictures, CT, MRI, X-ray, ultrasound, etc.

• Structured Electronic Medical Records: Including test reports, diagnostic records, surgical records, and more.

• Unstructured Clinical Data: Textual information such as medical records, nursing notes, speech transcripts, etc.

• Multi-omics Data: Bio-molecular data such as genomics, proteomics, etc.

Model Building and Training: Based on extensive specific disease data, we employ cutting-edge deep learning technologies to build and train large multimodal, multitask models. These models can understand and process different types of data, extract pathological features from complex images, mine potential disease associations from texts, and learn the diagnostic and decision-making logic of human experts. Clinical Validation and Application: We collaborate with clinical doctors to iterate and validate models, ensuring that the insights and decision support suggestions provided by the models are reliable, interpretable, and seamlessly integrated into real clinical workflows. Our goal is to create an “intelligent brain” that aids doctors in precise diagnosis, personalized treatment planning, and disease risk prediction, ultimately improving healthcare quality and advancing breakthrough progress in medical research.

Medical Data Product Development: Creating Data-Driven Intelligent Tools

To better manage and utilize healthcare data resources, we have developed a series of efficient and intelligent medical data products that provide researchers and clinicians with powerful data processing capabilities.

• Core (Precision Medical Assistance System): Targeting hospitals and clinicians, the Core system integrates multimodal medical data (such as imaging, medical records, genomics, etc.), leveraging specific disease large models for in-depth analysis and integration, providing scientific evidence for the diagnosis and treatment planning of complex diseases like cancer, and helping achieve precision medicine.
• Care (Outpatient Follow-up Management Platform): Targeting patients, the Care platform is dedicated to providing convenient and efficient outpatient health management services. Through intelligent data collection and analysis, it helps patients with disease follow-up, health monitoring, and rehabilitation management, achieving continuous and personalized medical care.
• Intelligent Retrieval System: Our developed medical data retrieval and medical image retrieval systems help researchers quickly and accurately locate needed information in large databases. Whether searching for specific medical records or retrieving similar medical images, our systems greatly enhance research efficiency and accelerate knowledge discovery.
• Medical Data Annotation Platform: We have constructed an efficient and professional medical data annotation tool that supports detailed annotation of various types of data such as images, medical records, and test reports, providing a solid foundation for high-quality algorithm training.