PTP partnered with a clinical-stage biotech company specializing in cancer and autoimmune disease treatments to address challenges in managing vast amounts of unstructured quality control data. By leveraging Generative AI and Amazon Bedrock, PTP developed a secure, custom chatbot capable of summarizing and analyzing QC documentation in plain language. This solution transformed manual data reviews into automated summaries, enabling faster decision-making, saving time, and enhancing the company\u2019s clinical workflows.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ custom_padding=”32px||1px|||” da_disable_devices=”off|off|off” locked=”off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.4″ _module_preset=”default” width=”85%” max_width=”1380px” custom_padding=”8px||1px|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font=”–et_global_heading_font||||||||” text_text_color=”gcid-secondary-color” text_font_size=”28px” text_line_height=”2rem” custom_margin=”45px||||false|false” custom_padding=”||||false|false” text_font_size_tablet=”28px” text_font_size_phone=”24px” text_font_size_last_edited=”on|phone” global_colors_info=”{%22gcid-secondary-color%22:%91%22text_text_color%22%93}”]\n
PTP collaborated with a clinical-stage biotechnology company researching cancer and autoimmune disease treatments. The company\u2019s extensive documentation, including scientific and quality control (QC) data, was stored in an S3 bucket in various formats (PPTs, PDFs, etc.). QC documentation is critical for ensuring product and patient safety, especially in preclinical and clinical stages. However, manually sifting through these documents to summarize data for stakeholders was time-intensive and inefficient.<\/span><\/p>\n To address this challenge, PTP developed a Large Language Model (LLM) and Generative AI (GenAI) chatbot to enable the team to quickly answer questions and summarize data in plain language.<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” next_background_color=”#ffffff” 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=”||52px||false|false” custom_padding_tablet=”40px||40px||true|false” custom_padding_phone=”40px||40px||true|false” bottom_divider_style=”arrow” bottom_divider_height=”83px” da_disable_devices=”off|off|off” locked=”off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row make_equal=”on” _builder_version=”4.27.4″ _module_preset=”default” width=”85%” max_width=”1380px” custom_padding=”||99px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ module_class=”col-vert-cent” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font=”–et_global_heading_font||||||||” text_text_color=”gcid-secondary-color” text_font_size=”28px” text_line_height=”2rem” custom_margin=”||0px||false|false” custom_padding=”||16px|||” text_font_size_tablet=”28px” text_font_size_phone=”24px” text_font_size_last_edited=”on|phone” global_colors_info=”{%22gcid-secondary-color%22:%91%22text_text_color%22%93}”]\nThe Solution<\/strong><\/span>\u00a0<\/h2>\n[\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font=”–et_global_heading_font|300|||||||” text_text_color=”#ffffff” text_font_size=”28px” text_line_height=”2.3rem” custom_margin=”||0px|||” text_font_size_tablet=”28px” text_font_size_phone=”24px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]\n