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Application of Artificial Intelligence in Pharmaceutical and Biomedical Studies
Abhimanyu Thakur1, Ambika P Mishra2, Bishnupriya Panda2
1Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
Current Pharmaceutical Design
|May 16, 2020
Summary
Artificial intelligence (AI) accelerates biomedical research and drug development. AI tools analyze patient data for improved health outcomes and cancer treatment predictions.
Area of Science:
- Biomedical Research
- Pharmaceutical Science
- Computational Biology
Background:
- Artificial intelligence (AI) models human intelligence for tasks with minimal human intervention.
- AI's application in healthcare, particularly in pharmaceutical and biomedical studies, is crucial for socioeconomic development.
- AI aids in treating diseases like cancer and neurodegenerative disorders, and accelerates drug development.
Purpose of the Study:
- Highlight the significance of AI in biomedical research.
- Showcase recent studies using AI with patient data to enhance health outcomes.
- Demonstrate AI's role in creating predictive models for cancer treatment response.
Main Methods:
- Literature review of research material from PubMed up to January 2020.
- Search terms included "artificial intelligence" and "machine learning" in pharmaceutical and biomedical contexts.
Main Results:
- AI is extensively applied in pharmaceutical and biomedical studies, including cancer research for diagnosis and prognosis.
- AI assists researchers in managing complex data and complements conventional statistical analyses.
- AI enhances precision in estimating treatment effects and predicting outcomes for cancer patients.
Conclusions:
- AI is a valuable tool in pharmaceutical and biomedical research, improving data analysis and prediction.
- AI applications in cancer research aid in diagnosis, prognosis, and treatment response prediction.
- AI integration accelerates drug development and enhances patient care through data-driven insights.
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