What is reinforcement learning? How is reinforcement learning different from stochastic
optimization? And finally, can it be used for applications to quantitative finance for my current …

In this article, we describe representative contributions in several major application areas of
data analytics in operations management to summarize the recent development, discuss the …

Health remains one of the most challenging realms for decision makers and policy making
while critical for the well-being of humans, the stability of societies, and the development of …

Recruiting candidates globally and across multiple sites in different geographic regions is
necessary to speed up the enrollment of clinical trials. While patient enrollment can benefit …

A common strategy of extending the lifetime of an aging system is to reduce its workload
below the normal operating level, a practice known as derating. While derating can slow the …

This research is imperative due to the pressing need for improved patient recruitment in
clinical trials, addressing challenges such as delays and high costs. By introducing a …

Problem definition: The cost for developing a new drug ranged from 1billiontomorethan 2
billion between 2010 and 2019. In addition to high development costs, the efficacy of the …

The development of a new drug is costly and uncertain. As such, pharmaceutical firms often
collaborate to develop new drugs. We examine the conditions under which firms should …

Problem definition: Participant retention is one of the significant issues faced by clinical
studies. This paper analyzes the economic impact of combining two mechanisms (monetary …

Abstract Problem Definition-Drug development is expensive and time-consuming requiring
multiple phases of testing. Because of the uncertainties in development, the process is also …