Читать книгу Biomedical Data Mining for Information Retrieval - Группа авторов - Страница 29

Computational biology is contributing to some of the most important bioinformatics advances helping in the field of medicine and biology. This field is expanding and enhancing our knowledge with the help of tools of artificial intelligence which are inspired by the way in which nature solves the problems it faces. This chapter deals with biology, bioinformatics and the complexities of search and optimisation which would equip the reader with the necessary knowledge to undertake a biological problem with the aid of computational tools. This chapter also contains links to software and information available on the internet, in academic journals and beyond, making it an indispensable reference all natural scientists and bioinformatics person having large data sets to analyze.

We are aware of the fact that one medicine for all is not valid anymore due to genetic variations arising in different ethnic population or due to mutations. It becomes pertinent to develop personalized medicine and Artificial intelligence (AI) which is referred to as the core of the fourth revolution of science and technology would be able to provide an opportunity to achieve this for precision public health [1, 2]. This can be done by fact that medical AI generates an all-round promotion of medical services which includes accurate image interpretation, enabling fast data processing, improving workflow, and reducing medical errors in the healthcare system [3]. Due to improved medical facilities worldwide geriatric population has increased. Advancing age is associated with multiple ailments which compromises the quality of life and tend to have a high morbidity of chronic diseases [4, 5]. Therefore elderly people have a higher demand for AI because their demand for medical service increases and a more rapid, accessible, and cost-efficient medical model need is prevalent. Medical services with AI assistance Various AI-aided services such as AI mobile platforms for monitoring medication adherence, early intelligent detection of health issues, and medical interventions among home-dwelling patients [6, 7] have the potential to meet such needs.