Artificial intelligence applied to clinical trials: opportunities and challenges
S Askin, D Burkhalter, G Calado, S El Dakrouni - Health and technology, 2023 - Springer
Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …
development. Given the evolving data-driven and personalized medicine approach in …
OMOP CDM can facilitate data-driven studies for cancer prediction: a systematic review
The current generation of sequencing technologies has led to significant advances in
identifying novel disease-associated mutations and generated large amounts of data in a …
identifying novel disease-associated mutations and generated large amounts of data in a …
How can natural language processing help model informed drug development?: a review
Objective To summarize applications of natural language processing (NLP) in model
informed drug development (MIDD) and identify potential areas of improvement. Materials …
informed drug development (MIDD) and identify potential areas of improvement. Materials …
NLI4CT: Multi-evidence natural language inference for clinical trial reports
M Jullien, M Valentino, H Frost, P O'Regan… - arXiv preprint arXiv …, 2023 - arxiv.org
How can we interpret and retrieve medical evidence to support clinical decisions? Clinical
trial reports (CTR) amassed over the years contain indispensable information for the …
trial reports (CTR) amassed over the years contain indispensable information for the …
[HTML][HTML] Text Classification of Cancer Clinical Trial Eligibility Criteria
Automatic identification of clinical trials for which a patient is eligible is complicated by the
fact that trial eligibility are stated in natural language. A potential solution to this problem is to …
fact that trial eligibility are stated in natural language. A potential solution to this problem is to …
A review of research on eligibility criteria for clinical trials
Q Su, G Cheng, J Huang - Clinical and experimental medicine, 2023 - Springer
The purpose of this paper is to systematically sort out and analyze the cutting-edge research
on the eligibility criteria of clinical trials. Eligibility criteria are important prerequisites for the …
on the eligibility criteria of clinical trials. Eligibility criteria are important prerequisites for the …
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: an iterative usability assessment
Background Participant recruitment is a barrier to successful clinical research. One strategy
to improve recruitment is to conduct eligibility prescreening, a resource-intensive process …
to improve recruitment is to conduct eligibility prescreening, a resource-intensive process …
Machine learning prediction of clinical trial operational efficiency
Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years,
they have become increasingly complex and expensive, driven by a growing number of …
they have become increasingly complex and expensive, driven by a growing number of …
A knowledge graph of clinical trials (CTKG)
Effective and successful clinical trials are essential in developing new drugs and advancing
new treatments. However, clinical trials are very expensive and easy to fail. The high cost …
new treatments. However, clinical trials are very expensive and easy to fail. The high cost …
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases
Clinical trials are pivotal in medical research, and NLP can enhance their success, with
application in recruitment. This study aims to evaluate the generalizability of eligibility …
application in recruitment. This study aims to evaluate the generalizability of eligibility …