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.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.