We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...
These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
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