Human-in-the-loop error detection in an object organization task with a social robot.

In human-robot collaboration, failures are bound to occur. A thorough understanding of potential errors is necessary so that robotic system designers can develop systems that remedy failure cases. In this work, we study failures that occur when participants interact with a working system and focus especially on errors in a robotic system's knowledge base of which the system is not aware.

Application of Bayesian approaches in drug development: starting a virtuous cycle.

The pharmaceutical industry and its global regulators have routinely used frequentist statistical methods, such as null hypothesis significance testing and p values, for evaluation and approval of new treatments. The clinical drug development process, however, with its accumulation of data over time, can be well suited for the use of Bayesian statistical approaches that explicitly incorporate existing data into clinical trial design, analysis and decision-making. Such approaches, if used appropriately, have the potential to substantially reduce the time and cost of bringing innovative medicines to patients, as well as to reduce the exposure of patients in clinical trials to ineffective or unsafe treatment regimens.

The "Coming of Age" of Real-World Evidence in Drug Development and Regulation.

Real world evidence (RWE) has the potential to inform drug discovery, development, and regulatory decision making. The emergence and availability of large population-based datasets around the globe have stoked enthusiasm in the research community. However, much work remains to refine research methodologies, evolve the science, and define the place of RWE as a complementary source of evidence to randomized controlled trials.

A Useful and Sustainable Role for N-of-1 Trials in the Healthcare Ecosystem.

Clinicians and patients often try a treatment for an initial period to inform longer-term therapeutic decisions. A more rigorous approach involves N-of-1 trials. In these single-patient crossover trials, typically conducted in patients with chronic conditions, individual patients are given candidate treatments in a double-blinded, random sequence of alternating periods to determine the most effective treatment for that patient.

Demographic diversity of participants in Pfizer sponsored clinical trials in the United States.

The approval of new medicinal agents requires robust efficacy and safety clinical trial data demonstrated to be applicable to population subgroups. Limited data have previously been reported by drug sponsors on the topic of clinical trial diversity. In order to establish a baseline of diversity in our clinical trials that can be used by us and other sponsors, an analysis of clinical trial diversity was conducted covering race, ethnicity, sex, and age.