Evgeniy R. Galimov

The paper develops a tandem segmentation-classification approach to identify morphological predictors of C. elegans lifespan and motility using convolutional neural networks.

The paper develops a bacterial biosensor system in C. elegans to detect environmental changes in the intestinal tract using an inducer.

The paper investigates uterine tumors in C. elegans as a senescent pathology caused by quasi-programs, showing similarities to teratomas and senescence.