Area of Focus
Research & Development
Our core technology involves the use of three-dimensional, multi-precision smart sensors to monitor the process of transferring abnormal heat sources from within the breast to the surface of the human tissue through the intra-body microcirculation. It establishes a progressive biological relationship between the “dynamic dissipative micro-energy field” and the “humidity strain field.” This technology utilizes automatic feature extraction and multivariate screening. Through reverse utilization of unique noise distribution, it performs temporal denoising on multiple interfered waveforms. After further data processing, it establishes a series of big data analysis charts based on neural networks, such as the cancer dynamic vector graph and the biological sequence symmetrical vector graph.
Meticulously designed breast health risk warning system
The “Breast Biorhythm Monitoring System” is based on several Nobel Prize-winning biomedical research and the understanding of abnormal cell metabolic heat mechanisms. It fills the international market gap for home-assisted self-examination using the “cellular thermoregulation rhythm” waveform. The established mathematical analysis model of “multiple biocircadian rhythms” utilizes AI technology to intelligently analyze the waveforms while excluding various interference factors. This improves the specificity of the expression of the “cellular metabolic heat rhythm” as a biological marker and enables home-based health risk warnings.
Proprietary AI Analytics System
Constructed by our academic experts and medical professionals, with clinical trials certified by an external Contract Research Organization (CRO), our system offers reliable data monitoring and analysis capabilities. It enables time-series analysis at the personal level and cross-comparisons at the community level. By conducting these analyses, it provides users with risk-level categorizations and early warnings in advance.
Cloud-based Bio-marker Library
All biological data, referred to as "Bio-Markers," collected through our proprietary AI analytics system, are stored in our Bio-Marker Library. To ensure security and privacy, the data is encrypted using blockchain technology. As the volume of data expands, our researchers utilize big data analysis and machine learning techniques to continually refine and enhance the capabilities of the proprietary AI analytics system. This iterative process allows for a more comprehensive and accurate cancer risk assessment tool over time.
Personalized mobile application
Our system serves as a seamless channel between data collectors and our proprietary AI analytics system, providing users with a smooth and user-friendly experience. With its comprehensive features and capabilities, our system aims to become the leading personal health "Super-APP" in the market, offering a wide range of health-related services and functionalities to users.
Advanced data-collectors
Our system is designed to absorb and analyze micro-signs from users, which include factors such as contact temperature, ambient heat release temperature, humidity, and their subtle variations. These micro-signs provide valuable information that can contribute to a comprehensive understanding of a user's health status and potential risk factors. By capturing and analyzing these subtle variations, our system can provide valuable insights and early warnings related to an individual's health.
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