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N-of-1 trials are multi-crossover self-experiments that allow individuals to systematically evaluate the effect of interventions on their personal health goals. Although several tools for N-of-1 trials exist, none support non-experts in…

人机交互 · 计算机科学 2021-08-03 Alexander M. Zenner , Erwin Böttinger , Stefan Konigorski

Traditionally, studies in experimental physiology have been conducted in small groups of human participants, animal models or cell lines. Identifying optimal study designs that achieve sufficient power for drawing proper statistical…

应用统计 · 统计学 2026-05-21 Stefan Konigorski , Mathias Ried-Larsen , Christopher H Schmid

N-of-1 trials are within-person crossover trials allowing both personalized and population-level inference on the effect of health interventions. Using the full potential of modern technologies, multimodal N-of-1 trials can integrate…

应用统计 · 统计学 2025-10-31 Juliana Schneider , Thomas Gärtner , Stefan Konigorski

N-of-1 trials, single participant trials in which multiple treatments are sequentially randomized over the study period, can give direct estimates of individual-specific treatment effects. Combining n-of-1 trials gives extra information for…

统计方法学 · 统计学 2021-10-19 Jiabei Yang , Jon A. Steingrimsson , Christopher H. Schmid

N-of-1 trials aim to estimate treatment effects on the individual level and can be applied to personalize a wide range of physical and digital interventions in mHealth. In this study, we propose and apply a framework for multimodal N-of-1…

App-based N-of-1 trials offer a scalable experimental design for assessing the effects of health interventions at an individual level. Their practical success depends on the strong motivation of participants, which, in turn, translates into…

统计方法学 · 统计学 2023-09-15 Ivana Malenica , Yongyi Guo , Kyra Gan , Stefan Konigorski

N-of-1 trials allow inference between two treatments given to a single individual. Most often, clinical investigators analyze an individual's N-of-1 trial data with usual t-tests or simple nonparametric methods. These simple methods do not…

统计方法学 · 统计学 2020-07-01 Jillian Tang , Reid D. Landes

This article proposes a novel adaptive design algorithm that can be used to find optimal treatment allocations in N-of-1 clinical trials. This new methodology uses two Laplace approximations to provide a computationally efficient estimate…

统计计算 · 统计学 2020-07-30 S. G. Jagath Senarathne , Antony M. Overstall , James M. McGree

As a future trend of healthcare, personalized medicine tailors medical treatments to individual patients. It requires to identify a subset of patients with the best response to treatment. The subset can be defined by a biomarker (e.g.…

统计方法学 · 统计学 2021-08-16 Yitao Lu , Julie Zhou , Li Xing , Xuekui Zhang

Recent developments in data management and imaging technologies have significantly affected diagnostic and extrapolative research in the understanding of neurodegenerative diseases. However, the impact of these new technologies is largely…

Biomedical imaging is a driver of scientific discovery and core component of medical care, currently stimulated by the field of deep learning. While semantic segmentation algorithms enable 3D image analysis and quantification in many…

计算机视觉与模式识别 · 计算机科学 2020-12-09 Fabian Isensee , Paul F. Jäger , Simon A. A. Kohl , Jens Petersen , Klaus H. Maier-Hein

Clinical trials are an indispensable part of the drug development process, bridging the gap between basic research and clinical application. During the development of new drugs, clinical trials are used not only to evaluate the safety and…

The US Food and Drug Administration launched Project Optimus with the aim of shifting the paradigm of dose-finding and selection towards identifying the optimal biological dose that offers the best balance between benefit and risk, rather…

统计方法学 · 统计学 2023-09-13 Ying Yuan , Heng Zhou , Suyu Liu

Interactive systems are commonly prototyped as web applications. This approach enables studies with functional prototypes on a large scale. However, setting up these studies can be complex due to implementing experiment procedures,…

人机交互 · 计算机科学 2025-05-20 Florian Lehmann , Daniel Buschek

With the ever-growing interest in the area of mobile information retrieval and the ongoing fast development of mobile devices and, as a consequence, mobile apps, an active research area lies in studying users' behavior and search queries…

信息检索 · 计算机科学 2020-02-03 Luca Costa , Mohammad Aliannejadi , Fabio Crestani

Background: Mental health problems are prevalent in college students. The COVID-19 pandemic exacerbated the problems, and created a surge in the popularity of telehealth and mobile health solutions. Despite that mobile health is a promising…

人机交互 · 计算机科学 2022-06-08 Xiaomei Wang , Alec Smith , Bruce Keller , Farzan Sasangohar

Clinical trials are pivotal in the drug discovery process to determine the safety and efficacy of a drug candidate. The high failure rates of these trials are attributed to deficiencies in clinical model development and protocol design.…

We developed a study design for rare disease clinical trials (RDTs) that efficiently evaluate treatments, promotes access to new treatments during treatment development, and optimizes healthcare resource utilization for future treatment…

应用统计 · 统计学 2016-07-04 Jian Yong , Sohaib H. Mohammad , Yan Yuan

The use and development of mobile interventions are experiencing rapid growth. In "just-in-time" mobile interventions, treatments are provided via a mobile device and they are intended to help an individual make healthy decisions "in the…

统计方法学 · 统计学 2020-07-23 Peng Liao , Predrag Klasnja , Ambuj Tewari , Susan A. Murphy

Major Depressive Disorder (MDD) is one of the most common causes of disability worldwide. Unfortunately, about one-third of patients do not benefit sufficiently from available treatments and not many new drugs have been developed in this…

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