Tetsuya Kobayashi

The caninized anti-canine PD-1 monoclonal antibody in canine oral malignant melanoma: Efficacy and exploratory biomarker analysis

This study evaluates a caninized anti-PD-1 antibody in canine oral malignant melanoma, finding associations between baseline inflammatory markers and MSI status with treatment outcomes.

MotifBoost: k-mer based data-efficient immune repertoire classification method

MotifBoost is a k-mer based method for immune repertoire classification that performs well on small datasets and provides stable results compared to deep learning methods.

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

This paper introduces a deep learning-based instance segmentation algorithm, QCA Net, which outperforms existing methods in segmenting nuclei in mouse embryos and provides quantitative developmental metrics.