Ernesto Abila

The paper analyzes single-cell data from human tissues to show that aging involves both cell loss and architectural remodeling, with structural decline independent of cell composition.

LazySlide provides an open-source Python package for whole-slide image analysis and multimodal integration, enabling efficient histopathology workflows with minimal setup.

This study shows that sequential auto-processing of PIDD1 is essential for controlling ploidy in liver and heart development, with distinct roles for caspase-2 in different cell types.

SAHA creates a multimodal, subcellular-resolution reference atlas of healthy human tissues, revealing spatial organization and disease-associated disruptions across multiple organ systems.

This paper develops tissue clocks from histopathological images to predict biological age and disease risk from blood samples, showing non-uniform aging rates across tissues and associations with lifestyle and medical factors.