Alba Park de la Torriente

This paper evaluates the use of an endotoxin-reduced E. coli strain for phage production, showing it can generate diverse phage with low endotoxin and minimal downstream processing.

This study identifies mechanisms by which E. coli ST131 evades phage killing through quorum sensing and capsule expression, and develops a phage therapy strategy to overcome these defenses in urine-based conditions.

This paper uses machine learning to predict effective phage cocktails for treating E. coli urinary tract infections based on bacterial genome data.