Automatic machine diagnostics - machine learning and precision medicine. Concepts, principles, perspectives
Abstract
Digitalization of clinical laboratories, application of big data and methods of machine learning are contemporary tools for precision medicine. Precision medicine is based mainly on the genomic methods, namely of dominant PCR and NGS methods.
These methods produces enormous number of dates (big data) and can be explored by means of artificial intelligence in processes called "machine learning". Machine learning was primarily used in industry and research and now contemporary penetrates into medicine and also to laboratory medicine.
Methods based on the big data and artificial intelligence with exploration of big data is certainly very important factor of future of medicine. It will be needs large requirements not only on high-technology equipment, but also for new type of young laboratory.
Professional used basically new methods of work and mind. Machine learning, part of precision medicine, necessary namely for oncology and prediction of patients state create means also lot of new types of ethical problems.
These ethical questions and problems should be soluted immediately, parallel with introduction of machine learning to laboratory practice.