Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...
Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Following peer-reviewed publication and independent expert review of findings, the LOI advances Lunai's tumor-regressing immune-cell platform toward ...
A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...
It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...
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