Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medic...

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Detalles Bibliográficos
Autores principales: D’Elia, Domenica, Truu, Jaak, Lahti, Leo, Berland, Magali, Papoutsoglou, Georgios, Ceci, Michelangelo, Zomer, Aldert, Lopes, Marta B., Ibrahimi, Eliana, Gruca, Aleksandra, Nechyporenko, Alina, Frohme, Marcus, Klammsteiner, Thomas, Pau, Enrique Carrillo-de Santa, Marcos-Zambrano, Laura Judith, Hron, Karel, Pio, Gianvito, Simeon, Andrea, Suharoschi, Ramona, Moreno-Indias, Isabel, Temko, Andriy, Nedyalkova, Miroslava, Apostol, Elena-Simona, Truică, Ciprian-Octavian, Shigdel, Rajesh, Telalović, Jasminka Hasić, Bongcam-Rudloff, Erik, Przymus, Piotr, Jordamović, Naida Babić, Falquet, Laurent, Tarazona, Sonia, Sampri, Alexia, Isola, Gaetano, Pérez-Serrano, David, Trajkovik, Vladimir, Klucar, Lubos, Loncar-Turukalo, Tatjana, Havulinna, Aki S., Jansen, Christian, Bertelsen, Randi J., Claesson, Marcus Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558209/
https://www.ncbi.nlm.nih.gov/pubmed/37808321
http://dx.doi.org/10.3389/fmicb.2023.1257002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558209/
https://www.ncbi.nlm.nih.gov/pubmed/37808321
http://dx.doi.org/10.3389/fmicb.2023.1257002

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