Shennong Project
An interactive in silico drug discovery database for SARS-CoV-2
The database was developed by four scientific research institutes, in cooperation with HUAWEI CLOUD. The information it provides helps doctors and
R&D personnel evaluate new drugs. It is also open for use as a science education website to help people learn more about antiviral drug
R&D.
Application Scenarios
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Genomic Analysis
EIHealth streamlines the scientific research process with high-performance, high-reliability, and cost-effective gene sequencing computing, storage, analysis, and AI capabilities. -
Drug Discovery
Drug R&D AI models, AI algorithms, and drug knowledge graphs are provided to make drug R&D more efficient for pharmaceutical companies. -
Medical Imaging
For imaging R&D by hospitals and research institutions, EIHealth provides intelligent annotation, case filtering, and automatic learning of medical images. Furthermore, AI-assisted diagnosis, quantitative analysis, 3D reconstruction, and 4D comparison are provided for COVID-19.
Industry Value
Convenient Genome Analysis
Full-process services are provided, covering genome data management, biological information analysis, research management, and knowledge
graphs, to quickly implement genome data analysis and AI modeling.
Faster Drug Development
EIHealth integrates deep learning algorithm and drug analysis services into the drug R&D process, accelerating R&D while lowering
costs.
Easy Image Analysis
EIHealth provides medical image labeling, image analysis, and AI model prediction services to fully meet medical image R&D
requirements.
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Technological Advantages
Technological Advantages
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In addition to various standard analysis pipelines in the biomedical field, EIHealth accelerates the computing process using Huawei-developed high-performance cloud computing, intelligent chips, and big data technologies.In addition to various standard analysis pipelines in the biomedical field, EIHealth accelerates the computing process using Huawei-developed high-performance cloud computing, intelligent chips, and big data technologies.
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EIHealth is capable of querying ultra-large graph databases of 1 billion nodes and 10 billion edges, and provides graph deep learning algorithms suitable for genetic and biological network data.EIHealth is capable of querying ultra-large graph databases of 1 billion nodes and 10 billion edges, and provides graph deep learning algorithms suitable for genetic and biological network data.
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The high-performance knowledge graph supports ultra-high-dimensional data integration, knowledge extraction, and inference services. Graph management, access, and visualization services can be achieved, yielding great advantages in integrated analysis of genomic and medical big data.The high-performance knowledge graph supports ultra-high-dimensional data integration, knowledge extraction, and inference services. Graph management, access, and visualization services can be achieved, yielding great advantages in integrated analysis of genomic and medical big data.
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AutoGenome, the first automatic deep learning technical framework tailored for genome data analysis, facilitates a more efficient research pipeline for the healthcare domain. It is deeply integrated with AI technologies to generate more accurate and easily interpretable medical AI models.AutoGenome, the first automatic deep learning technical framework tailored for genome data analysis, facilitates a more efficient research pipeline for the healthcare domain. It is deeply integrated with AI technologies to generate more accurate and easily interpretable medical AI models.
Legal Notices
- ▪ The Service provided by HUAWEI CLOUD is not intended to replace the professional advice and shall not be regarded as the substitutes of such advice. Please always ask your physicians or other qualified people for such advice.
- ▪ HUAWEI CLOUD enables our partners and customers to leverage cloud and AI technologies to enhance their abilities. You understand and agree that HUAWEI CLOUD does not provide medical advice or endorsements. HUAWEI CLOUD does not recommend or endorse any specific tests, drugs, devices, products, services, physicians, or medical institutions that may be mentioned or referenced in this Service. This Service or any result of the Service is not a substitute for medical advice.
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▪ Reliance on any information on this Service is at your own risk. HUAWEI CLOUD is not responsible or liable for any advice, course of
treatment, diagnosis, drug and device application, or other information, services, or products that you obtain through this Service.
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