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Potencial diagnóstico del trastorno bipolar basado en aprendizaje automático utilizando firmas de la microbiota
Hang Li1,2, Yan-Ting Jin3, Dong-Xin Ye4
1Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China.
IET systems biology
|January 14, 2026
Resumen
El trastorno bipolar (TB) está relacionado con cambios en el microbioma intestinal. Los modelos de aprendizaje automático que utilizan estos biomarcadores de bacterias intestinales muestran resultados prometedores para el diagnóstico no invasivo del TB y la comprensión del eje microbiota-intestino-cerebro.
Conclusiones:
- Existen alteraciones significativas en la microbiota intestinal, tanto composicionales como funcionales, en el TB.
- El análisis de la microbiota basado en aprendizaje automático ofrece un enfoque prometedor para el diagnóstico no invasivo del TB.
- Los marcadores identificados proporcionan información sobre el eje microbiota-intestino-cerebro, apoyando la psiquiatría de precisión y las intervenciones dirigidas a la microbiota.
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