Dynamic treatment regimes

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions

In recent years, reinforcement learning (RL) has acquired a prominent position in health-related sequential decision-making problems, gaining traction as a valuable tool for delivering adaptive interventions (AIs). However, in part due to a poor …

Artificial Intelligence-based Decision Support Systems for Precision and Digital Health

Precision health, increasingly supported by digital technologies, is a domain of research that broadens the paradigm of precision medicine, advancing everyday healthcare. This vision goes hand in hand with the groundbreaking advent of artificial …

Incorporating Participants' Welfare into Sequential Multiple Assignment Randomized Trials

Dynamic treatment regimes (DTRs) are sequences of decision rules that recommend treatments based on patients' time-varying clinical conditions. The sequential multiple assignment randomized trial (SMART) is an experimental design that can provide …

Dynamic Treatment Regimes for Optimizing Healthcare

The study of evidence-based dynamic treatment regimes (DTRs) comprises an important line of methodological research within the domain of personalized medicine, a medical paradigm that transitions from the one-size-fits-all ideology. In this chapter …