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 ...
Predicting household appliance energy consumption (Wh) from environmental, temporal and energy sensor readings sampled at 10-minute intervals, using classical baselines and deep recurrent models (LSTM ...
BACKGROUND: Despite strong guideline recommendations for cardiac rehabilitation (CR) following an acute myocardial infarction ...
Large Language Models (LLMs) have emerged as powerful tools for interpreting multimodal data (e.g., images, audio, text), often surpassing specialized models. In medicine, they hold particular promise ...