The US Food and Drug Administration launched Project Optimus with the aim of shifting the
paradigm of dose-finding and selection toward identifying the optimal biological dose that …

We study the problem of finding the optimal dosage in early stage clinical trials through the
multiarmed bandit lens. We advocate the use of the Thompson Sampling principle, a flexible …

Seamless phase I/II dose‐finding trials are attracting increasing attention nowadays in early‐
phase drug development for oncology. Most existing phase I/II dose‐finding methods use …

The best arm identification problem in the multi-armed bandit setting is an excellent model of
many real-world decision-making problems, yet it fails to capture the fact that in the real …

Bayesian adaptive designs provide a critical approach to improve the efficiency and success
of drug development that has been embraced by the US Food and Drug Administration …

One of the primary objectives of an oncology dose‐finding trial for novel therapies, such as
molecular targeted agents and immune‐oncology therapies, is to identify an optimal dose …

Given that novel anticancer therapies have different toxicity profiles and mechanisms of
action, it is important to reconsider the current approaches for dose selection. In an effort to …

Targeted agents and immunotherapies have revolutionized cancer treatment, offering
promising options for various cancer types. Unlike traditional therapies the principle of “more …

One of the primary objectives of an oncology dose‐finding trial for novel therapies, such as
molecular‐targeted agents and immune‐oncology therapies, is to identify an optimal dose …

Identification of the optimal dose presents a major challenge in drug development with
molecularly targeted agents, immunotherapy, as well as chimeric antigen receptor T-cell …