Paul C. T. Rees

This study identifies immunocompetent cells that accumulate food-grade titanium dioxide in vivo and demonstrates a mouse model for assessing human-relevant risks of ingested nanoparticles.

This paper describes the optimization of a SARS-CoV-2 Mpro inhibitor to address genotoxic and metabolic liabilities, leading to improved in vivo efficacy and exposure.

The paper examines pSTAT3 expression in murine and bovine mammary glands around birth, finding non-random clustering of pSTAT3-positive cells in alveoli.

OPTIMAL benchmarks segmentation and analysis methods for Imaging Mass Cytometry data, identifying optimal parameters for cell type identification and spatial analysis.

This paper develops a machine learning model using body-worn accelerometer data to estimate jump peak power, achieving lower error than previous methods but still not sufficient for field use.

This study examines the dynamic immune microenvironment during sheep mammary gland development, identifying distinct phases of macrophage and lymphocyte activity and tertiary lymphoid structures.

This study uses deep learning and label-free imaging flow cytometry to classify red blood cell morphologies during storage, achieving 90% accuracy and predicting expiration dates based on morphological changes.

This paper uses deep learning to reconstruct cell cycle stages and disease progression from image data, achieving lower error rates and faster analysis.