TY - JOUR
T1 - The impact and future of artificial intelligence in medical genetics and molecular medicine
T2 - an ongoing revolution
AU - Ozcelik, Firat
AU - Dundar, Mehmet Sait
AU - Yildirim, A. Baki
AU - Henehan, Gary
AU - Vicente, Oscar
AU - Sánchez-Alcázar, José A.
AU - Gokce, Nuriye
AU - Yildirim, Duygu T.
AU - Bingol, Nurdeniz Nalbant
AU - Karanfilska, Dijana Plaseska
AU - Bertelli, Matteo
AU - Pojskic, Lejla
AU - Ercan, Mehmet
AU - Kellermayer, Miklos
AU - Sahin, Izem Olcay
AU - Greiner-Tollersrud, Ole K.
AU - Tan, Busra
AU - Martin, Donald
AU - Marks, Robert
AU - Prakash, Satya
AU - Yakubi, Mustafa
AU - Beccari, Tommaso
AU - Lal, Ratnesh
AU - Temel, Sehime G.
AU - Fournier, Isabelle
AU - Ergoren, M. Cerkez
AU - Mechler, Adam
AU - Salzet, Michel
AU - Maffia, Michele
AU - Danalev, Dancho
AU - Sun, Qun
AU - Nei, Lembit
AU - Matulis, Daumantas
AU - Tapaloaga, Dana
AU - Janecke, Andres
AU - Bown, James
AU - Cruz, Karla Santa
AU - Radecka, Iza
AU - Ozturk, Celal
AU - Nalbantoglu, Ozkan Ufuk
AU - Sag, Sebnem Ozemri
AU - Ko, Kisung
AU - Arngrimsson, Reynir
AU - Belo, Isabel
AU - Akalin, Hilal
AU - Dundar, Munis
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
PY - 2024/8/1
Y1 - 2024/8/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Diagnostic
KW - Molecular genetics
KW - Omics
KW - Therapy
UR - http://www.scopus.com/inward/record.url?scp=85201431986&partnerID=8YFLogxK
U2 - 10.1007/s10142-024-01417-9
DO - 10.1007/s10142-024-01417-9
M3 - Review article
C2 - 39147901
AN - SCOPUS:85201431986
SN - 1438-793X
VL - 24
JO - Functional and Integrative Genomics
JF - Functional and Integrative Genomics
IS - 4
M1 - 138
ER -