The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution.

Autor: Ozcelik F; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Dundar MS; Department of Electrical and Computer Engineering, Graduate School of Engineering and Sciences, Abdullah Gul University, Kayseri, Turkey., Yildirim AB; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Henehan G; School of Food Science and Environmental Health, Technological University of Dublin, Dublin, Ireland., Vicente O; Institute for the Conservation and Improvement of Valencian Agrodiversity (COMAV), Universitat Politècnica de València, Valencia, Spain., Sánchez-Alcázar JA; Centro de Investigación Biomédica en Red: Enfermedades Raras, Centro Andaluz de Biología del Desarrollo (CABD-CSIC-Universidad Pablo de Olavide), Instituto de Salud Carlos III, Sevilla, Spain., Gokce N; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Yildirim DT; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Bingol NN; Department of Translational Medicine, Institute of Health Sciences, Bursa Uludag University, Bursa, Turkey., Karanfilska DP; Research Centre for Genetic Engineering and Biotechnology, Macedonian Academy of Sciences and Arts, Skopje, Macedonia., Bertelli M; MAGI'S LAB, Overeto, Italy., Pojskic L; Institute for Genetic Engineering and Biotechnology, University of Sarajevo, Sarajevo, Bosnia and Herzegovina., Ercan M; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Kellermayer M; Department of Biophysics and Radiation Biology, Faculty of Medicine, Semmelweis University, Budapest, Hungary., Sahin IO; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Greiner-Tollersrud OK; Institute of Medical Biology, UiT The Arctic University of Norway, Tromsø, Norway., Tan B; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Martin D; University Grenoble Alpes, CNRS, TIMC-IMAG/SyNaBi (UMR 5525), Grenoble, France., Marks R; Avram and Stella Goldstein-Goren Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel., Prakash S; Department of Biomedical Engineering, University of McGill, Montreal, QC, Canada., Yakubi M; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey., Beccari T; Department of Pharmeceutical Sciences, University of Perugia, Perugia, Italy., Lal R; Neuroscience Research Institute, University of California, Santa Barbara, USA., Temel SG; Department of Translational Medicine, Institute of Health Sciences, Bursa Uludag University, Bursa, Turkey.; Department of Medical Genetics, Bursa Uludag University Faculty of Medicine, Bursa, Turkey.; Department of Histology and Embryology, Faculty of Medicine, Bursa Uludag University, Bursa, Turkey., Fournier I; Réponse Inflammatoire et Spectrométrie de Masse-PRISM, University of Lille, Lille, France., Ergoren MC; Department of Medical Genetics, Near East University Faculty of Medicine, Nicosia, Cyprus., Mechler A; Department of Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, Australia., Salzet M; Réponse Inflammatoire et Spectrométrie de Masse-PRISM, University of Lille, Lille, France., Maffia M; Department of Experimental Medicine, University of Salento, Via Lecce-Monteroni, Lecce, 73100, Italy., Danalev D; University of Chemical Technology and Metallurgy, Sofia, Bulgaria., Sun Q; Department of Food Science and Technology, Sichuan University, Chengdu, China., Nei L; School of Engineering Tallinn University of Technology, Tartu College, Tartu, Estonia., Matulis D; Department of Biothermodynamics and Drug Design, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania., Tapaloaga D; Faculty of Veterinary Medicine, University of Agronomic Sciences and Veterinary Medicine of Bucharest, Bucharest, Romania., Janecke A; Department of Paediatrics I, Medical University of Innsbruck, Innsbruck, Austria.; Division of Human Genetics, Medical University of Innsbruck, Innsbruck, Austria., Bown J; School of Science, Engineering and Technology, Abertay University, Dundee, UK., Cruz KS; Department of Physics, University of Sonora, Hermosillo, Mexico., Radecka I; School of Science, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton, UK., Ozturk C; Department of Software Engineering, Erciyes University, Kayseri, Turkey., Nalbantoglu OU; Department of Computer Engineering, Engineering Faculty, Erciyes University, Kayseri, Turkey., Sag SO; Department of Medical Genetics, Bursa Uludag University Faculty of Medicine, Bursa, Turkey., Ko K; Department of Medicine, College of Medicine, Chung-Ang University, Seoul, Korea., Arngrimsson R; Iceland Landspitali University Hospital, University of Iceland, Reykjavik, Iceland., Belo I; Centre of Biological Engineering, University of Minho, Braga, Portugal., Akalin H; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey. h_akaln@yahoo.com., Dundar M; Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey. dundar@erciyes.edu.tr.
Jazyk: angličtina
Zdroj: Functional & integrative genomics [Funct Integr Genomics] 2024 Aug 16; Vol. 24 (4), pp. 138. Date of Electronic Publication: 2024 Aug 16.
DOI: 10.1007/s10142-024-01417-9
Abstrakt: Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular medicine, as in many other fields. The growth in patient data, identification of new diseases and phenotypes, discovery of new intracellular pathways, availability of greater sets of omics data, and the need to continuously analyse them have led to the development of new AI platforms. AI continues to weave its way into the fabric of genetics with the potential to unlock new discoveries and enhance patient care. This technology is setting the stage for breakthroughs across various domains, including dysmorphology, rare hereditary diseases, cancers, clinical microbiomics, the investigation of zoonotic diseases, omics studies in all medical disciplines. AI's role in facilitating a deeper understanding of these areas heralds a new era of personalised medicine, where treatments and diagnoses are tailored to the individual's molecular features, offering a more precise approach to combating genetic or acquired disorders. The significance of these AI platforms is growing as they assist healthcare professionals in the diagnostic and treatment processes, marking a pivotal shift towards more informed, efficient, and effective medical practice. In this review, we will explore the range of AI tools available and show how they have become vital in various sectors of genomic research supporting clinical decisions.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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