Role of Artificial Intelligence in Advancing Applied Life Sciences

The transformative role of artificial intelligence (AI) is revolutionizing the life sciences sector. AI is being used to accelerate drug discovery, personalize treatments, and improve patient outcomes. AI has demonstrated its potential in optimizing crop yields, enhancing food safety, and addressing global food security challenges. Additionally, AI has applications in climate modeling, species conservation, and pollution monitoring. Discussion of AI implementation in life sciences may stimulate further research and development in AI-driven life science solutions. The Role of Artificial Intelligence in Advancing Applied Life Sciences equips readers with a solid understanding of technology's potential to address complex life science problems. It also discusses the ethical implications and challenges associated with AI implementation in this field. Covering topics such as biomanufacturing, disease identification, and climate change patters, this book is an excellent resource for life scientists, computer scientists, healthcare practitioners, environmentalists, agriculturalists, professionals, researchers, scholars, academicians, and more.

TAMER EMARA holds a Ph.D. from Shenzhen University, China, and is currently an assistant professor at the Faculty of Computers & Artificial Intelligence, Damietta University, Egypt. In 2021, he received the Excellent Paper Award from the Big Data Mining and Analytics (BDMA) journal. His primary research interests are in big data and the basic theory of artificial intelligence. He is a member of the IEEE and ACM.

Esraa Hassan was born in Kafrelsheikh, Kafrelsheikh, Egypt, in 1992. She received a B.Sc. Degree in Computer Science and a M.Sc. Degree in Computer Science from Mansoura University, Egypt, in 2013 and 2018, respectively. She received her Ph.D. in computer science from Mansoura University, Egypt, in 2022. She is currently a lecturer at the Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt. She has published many research articles in prestigious international conferences and reputable journals. She is also a reviewer for many journals. Her research interests include machine learning, deep learning, optimization, and bioinformatics.

THANH TRINH received the PhD degree in computer science from Shenzhen University, China, and the MSc degree in information systems design from University of Central Lancashire, UK. He is currently a lecturer with the faculty of computer science, Phenikaa University. He published many papers on his research topics. His research includes efficient query, big data, social network, classification, AI/ML for disasters, and climate change. He participated in many projects, from the institute level to government level. In 2020, he and his team awarded with the price in Science and Technology in Ministry of Natural Resources and Environment. Currently, he leads one course of Eramus+ project, between Vietnamese universities and European universities, about Climate change Adaptation using Digital geospatial twins and Earth Observation.