Healthcare, Lifescience IoT/AI

 

 

Medical Data Analysis, Predictive Monitoring

Among health care workers, the need to manage, store, transmit, output, and share detected by diagnostic and measurement equipment is increasing, typically for remote diagnostic imaging and medical education. In addition, personal medical care from pathology image information, biological information (vital data) collected daily, and home treatment, including preventive and predictive health care, employee health management, nursing care and elderly monitoring infrastructure are important.

 

Data analysis for the medical data management and communication of meaningful medical information

 

Medical imaging systems such as PACS, and patient & hospital management information systems, merging of these system

 

Preventive and predictive medicine, health management and mental health management of employees

 

Cancer diagnosis assistance using image data AI (Deep Learning)   

 

Predictive disease management and monitoring using AI        

 

 

Bioinformatics, AI using Drug Development

Bio data also could be taken in various inspections in initial diagnosis, which could go continually into individual databases. Gene check might be done as a fundamental etiology analysis and a fastener for individual, no error medical treatment. Such data and database could be shared socially. Also in drug development, data management has become increasingly complex and rapid during data collection from various cultures, clinical trial processes and safety management.

 

Initial diagnosis at the time of the bio-data detection; database through continuous aggregation and analysis

 

Precision Medical by gathering genetic testing and pathological image information

 

Bio basic research and culture status check during drug development including trial medicine; associated measuring devices

 

For clinical trials, data collection and predictive analysis in composition efficacy and safety management, etc. 

 
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