Peleg Hasson

FibroSight is a deep learning platform that quantifies lung remodeling in ILD histology, showing strong correlation with expert scoring and distinguishing fibrotic from inflammatory changes.

This paper develops lipid nanoparticles for intracellular antibody delivery, showing efficacy in inhibiting cytosolic targets in cancer and disease models.

This study identifies smooth muscle cells as the primary initiators of hypertension-mediated cardiac fibrosis through ECM-dependent mechanical processes, independent of fibroblasts.

FibroTrack automates fibrosis quantification in muscle and cardiac histology using deep learning, achieving high precision and agreement with pathologists.

This study shows LOX is essential for coordinating cytoskeletal organization, cell contraction, and ECM development to prevent aneurysms.

This study identifies two distinct subpopulations of muscle-resident fibroblasts that diversify during embryonic myogenesis and exert different regulatory roles on myoblasts, dependent on muscle contraction.

The paper identifies fibroblasts that adopt a myogenic program and fuse into muscle fibers at myotendinous junctions, contributing to junction formation through hybrid cell characteristics.