Aditi U. Gurkar

FOCAL couples interpretable machine learning with gene regulatory networks to identify regulatory subnetworks underlying cell fate decisions in B and T cells.

The paper develops SenSet, a gene signature for human lung senescence, validated in 3D culture models and identifies cell-type specific senescence mechanisms in aging and disease.

This study evaluates phage efficacy against Pseudomonas aeruginosa biofilms, finding that 69% of isolates are sensitive to six phages, but higher phage volumes are needed to eradicate preformed biofilms than prevent biofilm formation.