Hadeesha Piyadasa

Spatially Resolved Epithelial States Delineate Immunosuppressive Niches of Impaired Myeloid Antigen Presentation in PDAC

The paper identifies spatially distinct epithelial states in PDAC that correlate with immunosuppressive myeloid niches and poor prognosis.

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence

This study analyzes multi-omic data from gliomas to identify therapeutic escape mechanisms and TME evolution, finding that N-glycosylation classifies tumor grade and immune transcriptome predicts GBM survival.

Automated classification of cellular expression in multiplexed imaging data with Nimbus

The paper introduces Nimbus, a deep learning model for predicting marker positivity in multiplexed imaging data using a pre-trained dataset, and shows its integration with clustering for cell subtype identification.

Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition

The paper uses spatial imaging and computational analysis to identify features in metastatic tumors that predict response to immune checkpoint inhibition in TNBC patients.

Proteomic Profiling of Hypoplastic Lungs Suggests an Underlying Inflammatory Response in the Pathogenesis of Abnormal Lung Development in Congenital Diaphragmatic Hernia

The paper uses proteomic profiling to identify inflammatory processes as a key factor in the pathogenesis of lung hypoplasia in congenital diaphragmatic hernia.

Spatio-temporal coordination at the maternal-fetal interface promotes trophoblast invasion and vascular remodeling in the first half of human pregnancy

The paper constructs a spatiotemporal atlas of the maternal-fetal interface using multiomic data to show how gestational age influences immune and stromal cell interactions and spiral artery remodeling.