Make More People Access
Excellent Medical Services
LEBEN is a platform to share knowledge and data in a distinctive ecosystem under a unique technology framework.The ultimate goal of LEBEN is to create a clinical healthcare quality all around the world so that resources in healthcare industry are not separated by any boundaries. It is just an action of fingertip to create your knowledge and share it.
LEBEN will not only empower the efficient delivery of medical services in many settings and in many countries, it will also help healthcare professionals improve the quality of services they can offer to their patients. Patients will also be empowered as AI will increasingly be able to help them manage complex aspects of their care themselves.
In order to meet the inquiries, screening, diagnosis, treatment and rehabilitation processes in medical care, LEBEN uses a middle-tier implementation that not only makes smart contracts compatible with more design languages, but also makes smart contracts interactive. It allows the calculated knowledge to be well expressed and more in line with the needs of the medical industry.
Based on cognitive computing, it constructs a mapping bridge from ontology cognition to digital world, implements the execution, communication, reasoning, decision making, planning, learning, reflection, supervision and other high-level behaviors of medical knowledge, and supports the self-evolution of medical knowledge thinking projection to make more high-value medical knowledge widely used.
Different medical data have different weights in privacy protection. According to the sensitivity and security requirements of medical data information, medical data is classified and gradated. Different levels of medical data are implemented by different cryptography to guarantee data exchange; at the same time, the data exchanged is available to use but is not invisible to the data consumer.
In order to complete the efficient and trusted exchange of decentralized data, computing power, and algorithm, LEBEN designs four kinds of super nodes in regard of data, computing power, algorithm and audit.
Get to know
our technology here
Professor of Ophthalmology at Moorfields Eye Hospital
Fellow of the Royal College of Ophthalmologists
Member of The American Society of Retina Specialists
Member of the European Vision Institute Retina Panel
Honorary Senior Lecturer at The Institute of Ophthalmology UCL
Section Chief and Associate Professor Tenure, Chief, Section of
Surgical Outcomes and Epidemiology, Department of Surgery
School of Public Health: Climate Change and Health | Environmental Health Sciences | Yawei Zhang Lab| YSPH Global Health Concentration
Yale Cancer Center: Cancer Prevention and ControlGlobal Health Studies
Office of Cooperative Research
Yale Institute for Global Health