AI Revolution in Biomedicine and Biotechnology Transformative Trends and Emerging Applications

AI Revolution in Biomedicine and Biotechnology Transformative Trends and Emerging Applications

Manjunatha Badiger (NMAM Institute of Technology, Nitte University, India), Jose Alex Mathew (AJ Institute of Engineering and Technology, India), Aslam B. Nandyal (Alva's Institute of Engineering and Technology, India), D. Vidya (Srinivas Institute of Engineering and Technology, Srinivas University, India), Mehnaz Fathima C. (Sahyadri College of Engineering and Management, India), and Rizawan N. Shaikh (Alva's Institute of Engineering and Technology, India)
DOI: 10.4018/979-8-3693-8161-8.ch007
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Abstract

Exploring the future of AI in biomedical and biotechnology is crucial for transforming various applications. Precision medicine, using diagnostic and therapeutic approaches based on genetic and molecular data, stands to greatly benefit from AI's analytical power. In drug discovery, AI solves many challenges, enhancing candidate generation and optimizing molecular structures, leading to shorter and more cost-effective development processes. AI in medical imaging is advancing early disease detection, improving outcomes. It's also revolutionizing bioprocessing and manufacturing in biotechnology. In areas like robotic surgery and NLP for health record processing, AI fosters innovation. However, ethical concerns and legislation must be prioritized. Collaboration between technologists, researchers, healthcare, and policymakers is key to maximizing AI's potential while addressing integration challenges in biomedical and biotech fields.
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