Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
A global biopharmaceutical company aiming to deliver 20 new medicines by 2030 manages complex clinical trial programs across disparate global systems.
Clinical teams spent hours manually compiling answers to questions about trial site performance because data was locked in siloed systems. These...
“Amazon Bedrock provided a multi-agent architecture that essentially gives us the flexibility and scalability we were lacking before. Now, when a clinical user submits a prompt to Development Assistant, the supervisor agent guides it to the right expert agent for the most relevant and accurate response. Insights that once took hours are now available in minutes.”
Biopharmaceutical company developing prescription medicines for major diseases.
Cloud computing platform and on-demand infrastructure services.
AstraZeneca's Clinical data analysis is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Manual analysis limited teams to three scenarios. Now, 1,000+ AI agents run 100,000+ real-time simulations to automate decisions.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
A global biopharmaceutical company aiming to deliver 20 new medicines by 2030 manages complex clinical trial programs across disparate global systems.
Clinical teams spent hours manually compiling answers to questions about trial site performance because data was locked in siloed systems. These...
“Amazon Bedrock provided a multi-agent architecture that essentially gives us the flexibility and scalability we were lacking before. Now, when a clinical user submits a prompt to Development Assistant, the supervisor agent guides it to the right expert agent for the most relevant and accurate response. Insights that once took hours are now available in minutes.”
Biopharmaceutical company developing prescription medicines for major diseases.
Cloud computing platform and on-demand infrastructure services.
AstraZeneca's Clinical data analysis is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Manual analysis limited teams to three scenarios. Now, 1,000+ AI agents run 100,000+ real-time simulations to automate decisions.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.