J. Espinosa

A supervised learning algorithm to evaluate occurrence records in virtual species

The paper develops a supervised learning algorithm to evaluate occurrence records of virtual species using simulated data and expert knowledge.

Machine learning techniques to derive bioclimatic classifications for Colombia

The paper applies machine learning to create two new bioclimatic classifications for Colombia by redefining Lang categories using logistic regression on precipitation data.

Lytic bacteriophages facilitate antibiotic sensitization of Enterococcus faecium

This study identifies cell wall-associated molecules that confer phage resistance in E. faecium and shows that phage resistance mutations enhance antibiotic susceptibility and synergize with antimicrobials.

Enterococcus peptidoglycan remodeling promotes immune checkpoint inhibitor therapy

The paper shows that Enterococcus species enhance immune checkpoint inhibitor therapy by remodeling peptidoglycan and activating Nod2.

JAK1 inhibition blocks lethal sterile immune responses:implications for COVID-19 therapy

JAK1 inhibition prevents lethal immune responses and organ failure in a mouse model of Down syndrome and viral infection.