Eric M. Cramer

This paper introduces a trajectory-centric framework to model dynamic tumor-immune interactions, showing that treatment-phase TME states predict immunotherapy response better than pre-treatment states.

The paper introduces an algorithm to correct mislabeling and align object positions in longitudinal 3D cell culture imaging, improving data integrity and reproducibility.

UniFORM normalizes multiplex tissue imaging data by aligning negative populations and preserving positive variation, outperforming existing methods in batch effect mitigation and downstream analysis.

COEXIST integrates serial multiplexed tissue images at the single-cell level by combining molecular profiles with spatial information to improve profiling and platform validation.

The paper introduces a framework for mathematical modeling of multicellular systems using interpretable cell behavior rules derived from biological knowledge and multi-omics data.

PloiViT is a transformer-based model that quantifies tumor ploidy from pathology slides, outperforming traditional methods and achieving low prediction error across multiple cancer types.