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Large Language Models & Generative AI in Pharmaceutical & Life Science

Explore 19 documented Large Language Models & Generative AI deployments in Pharmaceutical & Life Science. These source-extracted records passed the automated evidence gate; that is not independent fact verification.

This evidence set isolates Large Language Models & Generative AI 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 19 documented implementationsCorpus published through Source links checked through
Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked
19
Case Studies
1
Vendors

Documented Large Language Models & Generative AI 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
P
Pharmaceutical & Life ScienceDrug Discovery & DevelopmentLarge Language Models & Generative AI
Reported result:
269 days (vs. 8-10 year typical) COVID-19 Vaccine Development Time
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
I
Pharmaceutical & Life ScienceDrug Discovery & DevelopmentLarge Language Models & Generative AI
Reported result:
~3 years (2020 discovery to 2023 Phase II) Drug Development Timeline to Phase II
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.cnbc.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
I
Pharmaceutical & Life ScienceDrug Discovery & DevelopmentLarge Language Models & Generative AI
Reported result:
+98.4 mL vs. –62.3 mL FVC Improvement vs. Placebo (60mg dose)
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: insilico.comSource link checked Automated evidence gate passed
I
Pharmaceutical & Life ScienceDrug Discovery & DevelopmentLarge Language Models & Generative AI
Reported result:
Under 30 months Time to Phase 1 Clinical Success
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: communities.springernature.comSource link checked Automated evidence gate passed
P
Pharmaceutical & Life ScienceDrug Discovery & DevelopmentLarge Language Models & Generative AI
Reported result:
16,000 hours Scientist Search Time Saved Annually
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
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
I
Pharmaceutical & Life ScienceDrug Discovery & DevelopmentLarge Language Models & Generative AI
Reported result:
12–18 months (vs. 2.5–4 years traditional) Discovery Timeline (project initiation to PCC)
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.news-medical.netSource link checked Automated evidence gate passed

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All AI in Pharmaceutical & Life ScienceAll Large Language Models & Generative AI implementationsAll Industries