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Machine Learning in the Life Sciences

Machine Learning in the Life Sciences

Report Includes:

- An overview of global market outlook for machine learning in life sciences
- Identification of machine learning applications in life science sector
- Recent achievements in life science due to machine learning
- Strategies adopted in machine learning with focus on life science (e.g., types of algorithms, regression trees, artificial neural networks, and evolutionary computation)
- Information on Gaussian process models
- Coverage of major issues related to machine learning
- Analysis of current and emerging trends in machine learning


Chapter 1 Technology Highlights and Market Outlook
Artificial Intelligence and Machine Learning
Machine Learning Algorithms
General Applications of Machine Learning
Applications of Machine Learning in the Life Sciences
Diagnosis
Therapy
Healthcare Management
Other Applications
Major Issues
Current and Emerging Trends
Biology
Imaging
Diagnostics
Pediatrics
Computing
Recent Achievements in the Life Sciences Due to Machine Learning
Market Outlook for Machine Learning in the Life Sciences
Analyst's Credentials
Related BCC Research Reports
List of Tables
Table 1 : Applications of Machine Learning in the Life Sciences, by Field
Table 2 : Global Market for the Applications of Machine Learning in the Quantum Computing, by Country/Region, Through 2024
Table 3 : Current and Emerging Trends in the Applications of Machine Learning in the Life Sciences, by Field
Table 4 : Global Market for the Applications of Machine Learning in the Life Sciences, by Country/Region, Through 2024
List of Figures
Figure 1 : Global Market Shares for the Applications of Machine Learning in the Quantum Computing, by Country/Region, 2024
Figure 2 : Global Market Shares for the Applications of Machine Learning in the Life Sciences, by Country/Region, 2024

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