OHSU researchers have developed a new method to predict cancer patient survival using data from individual cells. The findings were published in a Cancer Discovery study with senior author Zheng Xia, Ph.D., and his team. (OHSU/Christine Torres Hicks)

OHSU researchers have developed a new method to predict cancer patient survival using data from individual cells. The findings were published in a Cancer Discovery study with senior author Zheng Xia, Ph.D., and his team. (OHSU/Christine Torres Hicks)

Investigadores(as) de OHSU desarrollaron un nuevo método para predecir la supervivencia de pacientes de cáncer con datos de células individuales. Los hallazgos se publicaron en un estudio de Cancer Discovery con el autor sénior Zheng Xia, Ph.D. y su equipo. (OHSU/Christine Torres Hicks)

Zheng Xia, Ph.D., left, has developed a new tool called OmicsTweezer that uses advanced machine learning techniques to analyze large-scale biological data. Xinxing Yang, Ph.D., right, a postdoctoral scholar in Xia’s lab, is lead author of the published study. (OHSU/Christine Torres Hicks)

OHSU's Zheng Xia, Ph.D., has developed a new tool called OmicsTweezer that uses advanced machine learning techniques to analyze large-scale biological data. Xinxing Yang, Ph.D., a postdoctoral scholar in Xia’s lab, is lead author of the published study. (OHSU/Christine Torres Hicks)

Zheng Xia, Ph.D., ha desarrollado una nueva herramienta llamada OmicsTweezer que utiliza técnicas avanzadas de aprendizaje automático para analizar datos biológicos a gran escala. Xinxing Yang, Ph.D., investigador postdoctoral en el laboratorio de Xia, es el autor principal del estudio publicado. (OHSU/Christine Torres Hicks)