Pouya Nazari

Longitudinal tumor ecosystem mapping defines glioblastoma treatment trajectories

This study maps glioblastoma tumor ecosystems over time using spatial single-cell profiling to identify prognostic subgroups and treatment responses.

Distinct tumor immune microenvironmental (TIME) landscapes drive divergent immunotherapy responses in glioblastoma

This study identifies three distinct tumor immune microenvironment (TIME) subtypes in glioblastoma (GBM) with divergent responses to immunotherapy, supporting personalized treatment strategies.

CONCLAVE: CONsensus CLustering with Annotation-Validation Extrapolation for cyclic multiplexed immunofluorescence data

CONCLAVE improves cell annotation in cyclic multiplexed immunofluorescence data by using consensus clustering and validation, enhancing accuracy and reproducibility.

COLLAGE: COnsensus aLignment of muLtiplexing imAGEs

COLLAGE improves image alignment for multiplexed immunohistochemistry by breaking alignment into smaller puzzles, enabling parallel processing and reducing errors.

QUAL-IF-AI: Quality Control of Immunofluorescence Images using Artificial Intelligence

QUAL-IF-AI is a deep learning tool that detects and manages artifacts in multiplex immunofluorescence images, achieving high accuracy and IoU across common artifact types.