As the biomedical community produces datasets that are increasingly complex and high
dimensional, there is a need for more sophisticated computational tools to extract biological …

Due to commonalities in pathophysiology, age-related macular degeneration (AMD)
represents a uniquely accessible model to investigate therapies for neurodegenerative …

Phenotypic plasticity describes the ability of cancer cells to undergo dynamic, nongenetic
cell state changes that amplify cancer heterogeneity to promote metastasis and therapy …

The advent of high-throughput single-cell genomics technologies has fundamentally
transformed biological sciences. Currently, millions of cells from complex biological tissues …

Neuropil is a fundamental form of tissue organization within the brain, in which densely
packed neurons synaptically interconnect into precise circuit architecture,. However, the …

Abstract Graph Neural Networks (GNNs) extend the success of neural networks to graph-
structured data by accounting for their intrinsic geometry. While extensive research has been …

Single cell genomics has revolutionized our ability to map immune heterogeneity and
responses. With the influx of large-scale data sets from diverse modalities, the resolution …

Segmenting medical images is critical to facilitating both patient diagnoses and quantitative
research. A major limiting factor is the lack of labeled data, as obtaining expert annotations …

The biomedical community is producing increasingly high dimensional datasets, integrated
from hundreds of patient samples, which current computational techniques struggle to …

Segmenting medical images is critical to facilitating both patient diagnoses and quantitative
research. A major limiting factor is the lack of labeled data, as obtaining expert annotations …