Artificial intelligence for quantitative modeling in drug discovery and development: An innovation and quality consortium perspective on use cases and best practices
Recent breakthroughs in artificial intelligence (AI) and machine learning (ML) have ushered
in a new era of possibilities across various scientific domains. One area where these …
in a new era of possibilities across various scientific domains. One area where these …
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models
Objectives We aim to build a generalizable information extraction system leveraging large
language models to extract granular eligibility criteria information for diverse diseases from …
language models to extract granular eligibility criteria information for diverse diseases from …
Cohortgpt: An enhanced gpt for participant recruitment in clinical study
Clinical trial information extraction with BERT
X Liu, GL Hersch, I Khalil… - 2021 IEEE 9th …, 2021 - ieeexplore.ieee.org
Natural language processing (NLP) of clinical trial documents can be useful in new trial
design. Here we identify entity types relevant to clinical trial design and propose a …
design. Here we identify entity types relevant to clinical trial design and propose a …
[HTML][HTML] Optimizing clinical trial eligibility design using natural language processing models and real-world data: algorithm development and validation
Background Clinical trials are vital for develo** new therapies but can also delay drug
development. Efficient trial data management, optimized trial protocol, and accurate patient …
development. Efficient trial data management, optimized trial protocol, and accurate patient …
Leveraging large language models for mobile app review feature extraction
Mobile app review analysis presents unique challenges due to the low quality, subjective
bias, and noisy content of user-generated documents. Extracting features from these reviews …
bias, and noisy content of user-generated documents. Extracting features from these reviews …