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 …

Natural language processing (NLP) is an effective tool for generating structured information
from unstructured data, the one that is commonly found in clinical trial texts. Such …

Abstract Objective We present the Clinical Trial Knowledge Base, a regularly updated
knowledge base of discrete clinical trial eligibility criteria equipped with a web-based user …

Clinical trials are a critical component of evaluating the effectiveness of new medical
interventions and driving advancements in medical research. Therefore, timely enrollment of …

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 …

Diagnosis for rare genetic diseases often relies on phenotype-driven methods, which hinge
on the accuracy and completeness of the rare disease phenotypes in the underlying …

Building on previous work to define the scientific discipline of biomedical informatics, we
present a framework that categorizes fundamental challenges into groups based on data …

The rapid growth and decreasing cost of Next-generation sequencing (NGS) technologies
have made it possible to conduct routine large panel genomic sequencing in many disease …

Overall, current clinical trial success rate is in the range of 10–13.8%. The oncology clinical
trial success rate range is even lower at 3.4–5.1%(Thomas et al., Clinical development …

Clinical trials are essential for generating reliable medical evidence, but often suffer from
expensive and delayed patient recruitment because the unstructured eligibility criteria …