Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
With hardware prices spiraling, AI vendors ramping up token costs, and models becoming drastically slimmer and more economical, running AI models locally isn’t just going to be a good idea whose time ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Objectives To derive sex-specific peak oxygen uptake (VO 2peak) reference equations for cycle ergometer cardiopulmonary exercise testing (CPET) that integrate estimations of lean body mass (eLBM) and ...
With hardware prices spiraling, AI vendors ramping up token costs, and models becoming drastically slimmer and more economical, running AI models locally isn’t just going to be a good idea whose time ...