An artificial intelligence-based expert system for the initial screening of COVID-19 / Anurag Sharma, Aseem John, Vikrant Sharma, Love Kumar -- An insight into the potential role of artificial intelligence in bioinformatics / Divya Bhatia, Deepak Malik -- AI based natural language processing for generation meaningful information electronic health record (EHR) data / Kuldeep Singh Kaswan, Loveleen Gaur, Jagjit Singh Dhatterwal -- AI and genomes for decisions regarding the expression of genes / Abeedha Tu-Allah Khan and Haleema Qamar -- Implementation of donor recognition & selection for bioinformatics blood bank application / Soobia Saeed, NZ Jhanjhi, Memood Naqvi -- Deep learning techniques for miRNA sequence analysis / Saswati Mahapatra, Jayashankar Das, David Correa Martins-Jr., Tripti Swarnkar -- Role of machine intelligence in cancer drug discovery and development / Kaushik Kumar Bharadwaj -- Genome and Gene editing by Artificial intelligence programs / Imran Zafar, Aamna Rafique, Javaria fazal, Misbah Manzoor, Qurat Ul Ain, Rehab A. Rayan -- Artificial Neural Network (ANN) techniques in solving protein folding problem / Raghunath Satpathy -- Application of machine learning and molecular modelling in drug discovery and cheminformatics / Manish Kumar Tripathi, Sushant Kumar Shrivastava, S. Karthikeyan, Dhiraj Sinha, Abhigyan Nath -- Role of advanced artificial intelligence techniques in bioinformatics / Harshit Bhardwaj, Pradeep Tomar, Aditi Sakalle, and Uttam Sharma -- A bioinformatics perspective of artificial intelligence in healthcare & diagnosis : applications, implications, and limitations / Anuradha Bhardwaj, Arun Solanki, Vikrant Nain -- Accelerating translational medical research by leveraging artificial intelligence : digital healthcare / Roopa G M, Shryavani K, Pradeep N, Vicente Garcia Diaz.

"The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.