Artificial Intelligence and Computational Dynamics for Biomedical Research

Description

THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets. Contents Recent advancements in biomedical research in the era of AI and ML Prediction of cardiovascular diseases using random forest and naive Bayes algorithm Big data analytics for personalized medicine Intellection of biological life in current era Integrating artificial intelligence techniques for analysis of next-generation sequencing data Artificial intelligence: the future of neuroscience Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods Artificial intelligence and machine learning in healthcare: an ethical perspective Artificial intelligence in dentistry: current issues and perspectives AI for pattern recognition and objectivity: the case of melanoma detection Ethical horizons of biobank-based artificial intelligence in biomedical research Index