From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges
Clinical decision making needs to be supported by evidence that treatments are beneficial to
individual patients. Although randomized control trials (RCTs) are the gold standard for …
individual patients. Although randomized control trials (RCTs) are the gold standard for …
Model-informed precision dosing: background, requirements, validation, implementation, and forward trajectory of individualizing drug therapy
Model-informed precision dosing (MIPD) has become synonymous with modern approaches
for individualizing drug therapy, in which the characteristics of each patient are considered …
for individualizing drug therapy, in which the characteristics of each patient are considered …
Leveraging external data in the design and analysis of clinical trials in neuro-oncology
Integration of external control data, with patient-level information, in clinical trials has the
potential to accelerate the development of new treatments in neuro-oncology by …
potential to accelerate the development of new treatments in neuro-oncology by …
[HTML][HTML] Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types
Immune checkpoint inhibitors have demonstrated significant survival benefits in treating
many types of cancers. However, their immune-related adverse events (irAEs) have not …
many types of cancers. However, their immune-related adverse events (irAEs) have not …
[HTML][HTML] Replication of randomized, controlled trials using real-world data: what could go wrong?
D Thompson - Value in health, 2021 - Elsevier
With the growing interest in using real-world evidence (RWE) for regulatory purposes,
researchers and policy makers are considering how best to assess the credibility of RWE …
researchers and policy makers are considering how best to assess the credibility of RWE …
Historical controls in randomized clinical trials: opportunities and challenges
Randomized control trials (RCTs) with placebo are the gold standard for determining
efficacy of novel pharmaceutical treatments. Since their inception, over 75 years ago …
efficacy of novel pharmaceutical treatments. Since their inception, over 75 years ago …
Evolving use of real-world evidence in the regulatory process: a focus on immuno-oncology treatment and outcomes
JC O'Donnell, TK Le, R Dobrin, M Higashi… - Future …, 2021 - Taylor & Francis
In recent years, regulatory bodies have increasingly recognized the utility of real-world
evidence (RWE) for supplementing and supporting clinical trial data in new drug …
evidence (RWE) for supplementing and supporting clinical trial data in new drug …
Efficient and robust semi-supervised estimation of ATE with partially annotated treatment and response
J Hou, R Mukherjee, T Cai - arXiv preprint arXiv:2110.12336, 2021 - arxiv.org
A notable challenge of leveraging Electronic Health Records (EHR) for treatment effect
assessment is the lack of precise information on important clinical variables, including the …
assessment is the lack of precise information on important clinical variables, including the …
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark
Developing new drugs for target diseases is a time-consuming and expensive task, drug
repurposing has become a popular topic in the drug development field. As much health …
repurposing has become a popular topic in the drug development field. As much health …
[HTML][HTML] 基于文献计量与知识图谱分析的真实世界研究发展现状及趋势
承鹭郭， 文惠， 林何， 玲李， 鑫孙 - Sheng Wu Yi Xue Gong Cheng …, 2021 - ncbi.nlm.nih.gov
文章通过回顾性可视化分析方法， 探讨有关真实世界研究中文文献的热点与趋势。
本文检索了知网、 维普、 万方及中国生物医学文献数据库， 文献收录时间从数据库起始截至 …
本文检索了知网、 维普、 万方及中国生物医学文献数据库， 文献收录时间从数据库起始截至 …