{"id":19084,"date":"2025-09-15T20:33:49","date_gmt":"2025-09-16T00:33:49","guid":{"rendered":"https:\/\/ptp.cloud\/?p=19084"},"modified":"2025-09-15T21:32:52","modified_gmt":"2025-09-16T01:32:52","slug":"aws-bedrock-clinical-trial-design","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/aws-bedrock-clinical-trial-design\/","title":{"rendered":"Accelerating Clinical Trial Design with AWS Bedrock Agents"},"content":{"rendered":"[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” admin_label=”Section” _builder_version=”4.27.4″ _module_preset=”default” background_color=”#3e489d” background_image=”https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/Square-Pattern-Hero-Background.png” custom_padding=”5px||||false|false” custom_padding_tablet=”40px||40px||true|false” custom_padding_phone=”40px||40px||true|false” da_disable_devices=”off|off|off” locked=”off” collapsed=”off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” 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Agents, the company streamlined clinical trial design, cutting protocol drafting from weeks to hours while improving accuracy, consistency, and scalability across its R&D programs.<\/pee>[\/et_pb_code][\/et_pb_column][et_pb_column type=”1_3″ module_class=”col-vert-cent” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/PTP-Hero-Section-Goat-Illustration-min.png” alt=”Illustration of Goat working on servers leading data to the cloud and to a proved treatment” title_text=”PTP Hero Section Goat Illustration” align=”center” disabled_on=”on|off|off” _builder_version=”4.27.4″ _module_preset=”default” max_width_tablet=”75%” max_width_phone=”75%” max_width_last_edited=”on|tablet” custom_padding=”25px||25px||true|false” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ _builder_version=”4.27.4″ _module_preset=”default” 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Overview<\/h2>\n

A research-driven biotech is advancing its pipeline through data-intensive drug discovery and clinical development. Among the most resource-heavy steps in this journey is clinical trial design\u2014a process requiring teams to comb through thousands of historical studies, extract eligibility criteria and endpoints, and draft complex protocols that meet regulatory standards.<\/pee> While critical to bringing new therapies to patients, protocol design is time-consuming, repetitive, and a frequent bottleneck. The Company sought to test whether Generative AI (GenAI) agents built on AWS Bedrock<\/a> could streamline trial design, accelerate protocol drafting, and improve consistency across its development programs. Partnering with PTP, the Company launched a proof of concept (POC) centered on two Bedrock-powered clinical development agents, laying the foundation for an extensible GenAI framework to support future R&D needs.<\/pee><\/div>\n

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The Challenge<\/h2>\n

Designing and validating clinical trial protocols introduced two major challenges for The Company:<\/pee> <\/p>\n

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1. Historical Trial Review<\/h3>\n

Researchers manually searched ClinicalTrials.gov<\/a> and related datasets to identify prior studies by condition, intervention, and outcome measures. This repetitive task often took hours or days, with results varying by individual researcher skill and experience.<\/pee> <\/p>\n

2. Protocol Drafting<\/h3>\n

Even with access to templates, drafting trial protocols remained slow and labor-intensive. Researchers had to synthesize best practices from multiple studies, structure content into regulator-ready formats, and iterate through multiple internal reviews.<\/pee> <\/div>\n

These inefficiencies slowed R&D progress, delayed hypothesis testing, and consumed valuable researcher time. The Company\u2019s goal was clear: use GenAI to automate repetitive tasks, generate consistent protocol drafts, and free its scientists to focus on innovation\u2014all while staying within compliance boundaries by using public, non-sensitive data.<\/pee><\/div>\n

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The Use Case: Clinical Development Protocol Design & Trial Planning <\/h2>\n

The Company evaluated several possible agentic AI applications but chose to focus the POC on clinical development protocol design, recognizing it as one of the highest-impact areas for immediate improvement.<\/pee> Two AWS Bedrock Agents were deployed:<\/pee> <\/p>\n