Publications by authors named "Victor Manuel Lopez-Molina"
Article Synopsis
- The human microbiome is a key area of research for understanding health, but analyzing its complex data is challenging.
- Machine learning (ML) algorithms are being developed to help process this data, uncover patterns, and create predictive models.
- This review catalogs ML-based software tools for microbiome analysis, providing insights, usage examples, and highlighting areas that need improvement for both developers and users.
Citizens lack knowledge about the impact of gut microbiota on health and how lifestyle and dietary choices can influence it, leading to Non-Communicable Diseases (NCDs) and affecting overall well-being. Participatory action research (PAR) is a promising approach to enhance communication and encourage individuals to adopt healthier behaviors and improve their health. In this study, we explored the feasibility of integrating the photovoice method with citizen science approaches to assess the impact of social and environmental factors on gut microbiota health.
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