Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study

Lucinda Bessa (Creator)

Dataset

Date made available	2024
Publisher	NCBI BioProject

Contact person

Lucinda Bessa

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https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA1163384

MICROresist-PI: MICROresist-PI: Metagenomic snapshot of the microbiome and resistome in peri-implantitis: pilot study
Bessa, L. (PI), Alves, R. C. (PI), Mendes, J. J. (PI), Alcoforado, G. (PI), Botelho, J. (PI), Machado, V. (PI), Barroso, H. (PI), Proença, L. (PI) & Mascarenhas, P. (PI)
2/01/23 → 30/06/24
Project: Research

Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study
Pais, R. J., Botelho, J., Machado, V., Alcoforado, G., Mendes, J. J., Alves, R. & Bessa, L. J., Feb 2025, In: Diagnostics. 15, 4, 425.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Citations (Scopus)

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