For a long time, the cure for diabetes type 1 and type 2 has relied on agonizing insulin shots for patients or insulin infusion via mechanical pumps. Regarding this, experts have been creating artificial pancreatic beta cells with the he…
According to the National Institutes of Health (NIH), precision medicine is "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." This approach will allow doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in which groups of people. It is in contrast to a "one-size-fits-all" approach, in which disease treatment and prevention strategies are developed for the average person, with less consideration for the differences between individuals.
Scope of the Report:
Artificial intelligence is providing paradigm shift toward precision medicine. Machine learning algorithms are used for genomic sequence and to analyze and draw inferences from the vast amounts of data patients and healthcare institutions recorded in every moment. AI technique is used in precision cardiovascular medicine to understand genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission rates and mortality. In addition, AI helps companies accelerate drug development to reduce costs.
The global Artificial Intelligence in Precision Medicine market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence in Precision Medicine.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Artificial Intelligence in Precision Medicine market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence in Precision Medicine market by product type and applications/end industries.
Market Segment by Companies, this report covers
- Intel AI
- IBM
- GE Healthcare
- Thermo Fisher Scientific
- Qiagen
- Berg Health
- Medasense Biometrics
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
- Hardware
- Software
- Services
Market Segment by Applications, can be divided into
- Oncology
- Neurosciences
- Immunology
- Respiratory
- Others