The introduction of immune checkpoint blockade (ICB) has markedly improved outcomes for advanced melanoma. However, many patients develop resistance through unknown mechanisms.
Among healthcare researchers, there is increasing debate over how best to assess and ensure the fairness of algorithms used for clinical decision support and population health—particularly concerning
Advanced analytics science methods have enabled combining the power of artificial and human intelligence, creating centaurs that allow superior decision-making.
We analyze changes in pedestrian behavior over a 30-year period in four urban public spaces located in New York, Boston, and Philadelphia.
Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and r
Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and r
This paper explores past episodes of technological disruption in the US labor market, with the goal of learning lessons about the likely future impact of artificial intelligence (AI).
We use a controlled experiment to show that ability and belief calibration jointly determine the benefits of working with Artificial Intelligence (AI).
Generative Artificial Intelligence (AI) is a potentially important new technology, but its impact on the economy depends on the speed and intensity of adoption.
An executive order requiring telematics for NYC's fleet vehicles enabled better monitoring of driver habits like speed and seatbelt use, reducing crashes and improving safety citywide.
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