How supercomputers and data science improve health equity
Data diversity is an important step to improving health equity as data science applications continue to drive health care decisions.
Data diversity is an important step to improving health equity as data science applications continue to drive health care decisions.
A significant constraint on the growth of the EV market is the absence of reliable and accessible data on charging prices. Addressing these data issues can help shape charging behaviors. Dr. Tim Coburn and colleagues made one of the first attempts to explore real data for EV charging.
The potential to improve public health, clinical outcomes, treat complex diseases and advance drug discovery is possible through health care data science.