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Automatic machine diagnostics - machine learning and precision medicine. Concepts, principles, perspectives.


Authors: B. Friedecký
Authors‘ workplace: SEKK, spol. s r. o. Pardubice ;  Ústav klinické biochemie a diagnostiky, FN Hradec Králové
Published in: Klin. Biochem. Metab., 28, 2020, No. 4, p. 161-165

Overview

Digitalization of clinical laboratories, application of big data and methods of machine learning re 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 crettemeans 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.

Keywords:

Big data – machine learning – artificial intelligence – precision medicine


Sources

1.    Tolan, N., Parnas, M. L., Bandhuin, L. M. et al. Big data in laboratory medicine, Clin. Chem., 2015, 61, p. 1433-1440, DOI:10. 1347/clinbiochem. 2015. 248591

2.    den Elzen, W. P. J., Brouwer, N., Thelen, M. H. et al. NUMBER: Standardized reference interval in the Netherlands using a big data approach. Clin. Chem. Lab. Med., 2018, 57, p. 42-56.

3.    Battelino, T., Danne, T., Bergenstal, R. M. et al. Clinical Targets for Continuous Glucose Monitoring Data Interpretation, Diabet. Care, 2019, https://doi.org/10.2337/dci19-0028.

4.    Badrick, T., Bietenbeck, A., Cervinski, M. A. et al. Patient-Based Real Time Quality Control: Rewiew and Recommendations, Clin. Chem., 2019, 65, p. 962-971.

5.    Smith, J. D., Badrick, T., Bowling, F., A direct comparison of patient. based real-time quality cobtrol techniques. The importance, of the analyte distribution. Ann. Clin. Biochem., 2020, 57/3, 206-214.

6.    Telenti, A. Machine Learning to Decode Genomics. Clin. Chem., 2019, 66/1, 45-47. 308296.

7.    Liu, X., Chang, X., Liu, R. et al. Quantifying clinical states of complex diseases using single-sample dynamic network biomarkers. Plos Comput. Biol., 13 e1005633

8.    Weinberg, M., Merico, D., Delong, A., Frey, B. J. Deep learning in Biomedicine. Nat. Biotechnol., 2018, 36, p. 829-838.

9.    Gal, J., Bailleux, C., Chardin, D. et al. Comparison of unsupervised machine learning methods to identify metabolomic signatures in patiens with localised breath cancer. Comp. Struct. Biotechnol., 2020, 18, p. 1509-1521.

10. Li, Q., Sun, Z. Y., Qi, L. et al. A deep learning approach to characterize 2019 Coronavirus Disease (COVID-19) pneumonia in Chest CT images. Eur. Radiol., 2020, p. 1-11.

11.   Badrick, T., Banfi, G., Bietenbeck, A. et al. Machine learning for Clinical Chemists. Clin. Chem., 2019, 65/11, 1350-1356.

12. Mitani, T., Dai, S., Yokota, S. et al. Highly accurate and explanable detection of specimen mix-up using a machine learning model. Clin. Chem. Lab. Med., 2020, 58/3, 375-383

13. Lippi, G., Plebani, M. Integrated diagnostics-the future of laboratory medicine? Biochem. Med., (Zagreb) 2020, 30/1, 010501

14. Baudhuin, L. M., Biesecker, L. B., Burke, W. et al. Predictional Precision Medicine with Genomic Data, 2020, 66/1, 33-41

15. AACC Ethics of AI and Big Data in Laboratory Medicine, Clin. Lab. News 2020 Data. Clin. Chem., 2020, 66, p. 33-41

16. Laboratories must apply medical ethics to mitigate AI risks. AACC Smart Brief 2020.

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