AI in Precision Medicine Market Size, Share, Report Analysis, Industry Growth and Statistics | Valuates Reports

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.

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.

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Market Analysis and Insights: Global Artificial Intelligence in Precision Medicine Market

The global Artificial Intelligence in Precision Medicine market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence in Precision Medicine market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial Intelligence in Precision Medicine market in terms of revenue.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence in Precision Medicine market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence in Precision Medicine market.

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Global Artificial Intelligence in Precision Medicine Scope and Market Size

Artificial Intelligence in Precision Medicine market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Precision Medicine market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type

• Hardware
• Software
• Services

Segment by Application

• Oncology
• Neurosciences
• Immunology
• Respiratory
• Others

BY REGION

• North America
• U.S.
• Canada
• Europe
• Germany
• France
• U.K.
• Italy
• Russia
• Nordic
• Rest of Europe
• Asia-Pacific
• China
• Japan
• South Korea
• Southeast Asia
• India
• Australia
• Rest of Asia
• Latin America
• Mexico
• Brazil
• Rest of Latin America
• Middle East & Africa
• Turkey
• Saudi Arabia
• UAE
• Rest of MEA

BY COMPANY

• Intel AI
• IBM
• GE Healthcare
• Thermo Fisher Scientific
• Qiagen
• Berg Health
• Medasense Biometrics

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