Improving drug discovery and development efficiencies with AI
In this eBook from our sister site Bioanalysis Zone, find out how AI could increase the efficiency of drug discovery and development.
AI is transforming the industry, from drug discovery to manufacturing, with such abilities as automating manual processes and accurately processing large amounts of data. As artificial intelligence advances, it is becoming a much-needed necessity within the pharmaceutical industry. In this eBook, we explore what AI tools can be utilized for processing and analyzing preclinical and clinical bioanalytical data as well as how the convergence of artificial intelligence and chemistry can improve drug discovery.
CONTENTS INCLUDE:
- CASE STUDY: Simplifying bioanalytical review using advanced computational techniques
- REVIEW: Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry
- INTERVIEW: 60 seconds with Stephanie Pasas-Farmer: AI and drug discovery
- COMMENTARY: The convergence of artificial intelligence and chemistry for improved drug discovery
- WHITE PAPER: Artificial Intelligence increases efficiencies and reduces bias for bioanalytical pharmacokinetic studies and anti-drug antibody statistical determinations
