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Clinical Trials & Research in Pharmaceutical & Life Science

Compare 11 documented Clinical Trials & Research implementations in Pharmaceutical & Life Science. These source-extracted records passed the automated evidence gate; that is not independent fact verification.

This evidence set isolates Clinical Trials & Research deployments within Pharmaceutical & Life Science. The records below identify the implementing organization, technology and vendor when reported, source-reported results, cited source, and missing evidence explicitly.

Based on 11 documented implementationsCorpus published through Source links checked through
Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked
11
Case Studies
0
Vendors

Documented Clinical Trials & Research implementations in Pharmaceutical & Life Science

P
Pharmaceutical & Life ScienceClinical Trials & ResearchLarge Language Models & Generative AI
Reported result:
60–65% CTD Authoring Time Reduction
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: aws.amazon.comSource link checked Automated evidence gate passed
U
Pharmaceutical & Life ScienceClinical Trials & ResearchLarge Language Models & Generative AI
Reported result:
Up to 75% Regulatory Submission Turnaround Acceleration
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.ibm.comSource link checked Automated evidence gate passed
U
Pharmaceutical & Life ScienceClinical Trials & ResearchLarge Language Models & Generative AI
Reported result:
Reduced from up to 6 months Clinical Trial Protocol Timeline
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: healthcareasiamagazine.comSource link checked Automated evidence gate passed
N
Pharmaceutical & Life ScienceClinical Trials & ResearchMachine Learning & Predictive Analytics
Reported result:
3.4x above median Recruitment Rate Improvement (high-performance PIs)
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.clinicaltrialvanguard.comSource link checked Automated evidence gate passed
B
Pharmaceutical & Life ScienceClinical Trials & ResearchLarge Language Models & Generative AI
Reported result:
Under 100 to nearly 900 users in 3 months Platform User Growth
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.accenture.comSource link checked Automated evidence gate passed
U
Pharmaceutical & Life ScienceClinical Trials & ResearchMachine Learning & Predictive Analytics
Reported result:
Reduced from 2–4 weeks to under 8 hours Patient-Trial Matching Time
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.ideas2it.comSource link checked Automated evidence gate passed
N

National Institutes of Health (NIH) / National Library of Medicine

NIH's TrialGPT cuts clinical trial patient screening time by 40% using large language models

Pharmaceutical & Life ScienceClinical Trials & ResearchLarge Language Models & Generative AI
Reported result:
40% Patient Screening Time Reduction
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.nih.govSource link checked Automated evidence gate passed

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All AI in Pharmaceutical & Life ScienceAll Clinical Trials & Research implementationsAll Industries