📣 PyData Yerevan announces the October meetup of its new series!

Aleksandr Sarachakov, Biomedical Imaging Team Lead at BostonGene, will deliver a talk on “Revolutionizing Cancer Treatment: Harnessing AI, Zarr, and AnnData for High-Speed Biomedical Imaging.”

#Zarr and #AnnData, Python-based technologies, are revolutionizing the landscape of biomedical image processing, especially when paired with self-supervised learning (SSL). Zarr, a chunked and compressed data storage format, enables the efficient handling of datasets found in biomedical applications. AnnData, a specialized framework for multi-dimensional annotated data, plays a crucial role in managing and analyzing large-scale biomedical datasets.

In the context of #SSL, these technologies boost the processing speed and reduce the computational load for handling high-resolution images and complex datasets. Zarr's ability to store multi-terabyte data in distributed and parallelized environments allows for faster processing and analysis of biomedical images. AnnData complements this by providing structured, annotated data that SSL models can efficiently learn from without extensive labeling. This combination reduces memory usage, making it feasible to handle biomedical images on a large scale. These advancements are pivotal for applications like cancer diagnosis, where rapid, accurate image analysis is critical.

During the talk, our speaker will explore:

🟣 how Zarr and AnnData facilitate scalable biomedical image processing,

🟣 outline their integration with SSL for cutting-edge research,

🟣 and discuss future developments in optimizing biomedical workflows.

Save the date to attend the meetup on October 17, at 19:00, in the PMI Science R&D Center (Teryan 105, 13th Building).