{"id":14539,"date":"2025-01-06T21:32:01","date_gmt":"2025-01-07T02:32:01","guid":{"rendered":"https:\/\/ptp.cloud\/?p=14539"},"modified":"2025-09-15T21:32:53","modified_gmt":"2025-09-16T01:32:53","slug":"genai-ind-reporting-aws-bedrock","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/genai-ind-reporting-aws-bedrock\/","title":{"rendered":"How Generative AI Helped a Biotech CEO Cut IND Reporting Time by 95%"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|tablet&#8221; admin_label=&#8221;Section&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#3e489d&#8221; background_image=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/Square-Pattern-Hero-Background.png&#8221; custom_padding=&#8221;5px||5px||false|false&#8221; custom_padding_tablet=&#8221;40px||40px||true|false&#8221; custom_padding_phone=&#8221;40px||40px||true|false&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;63px||1px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_heading title=&#8221;How PTP Leveraged Generative AI to Cut IND Reporting Time by 95%* for a Biotech CEO&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; title_font=&#8221;&#8211;et_global_heading_font|700|||||||&#8221; title_text_color=&#8221;#ffffff&#8221; title_font_size=&#8221;3.5rem&#8221; title_line_height=&#8221;1.2em&#8221; max_width_tablet=&#8221;620px&#8221; max_width_phone=&#8221;620px&#8221; max_width_last_edited=&#8221;on|tablet&#8221; custom_padding=&#8221;40px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_heading][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/PTP-Hero-Section-Goat-Illustration-min.png&#8221; alt=&#8221;Illustration of Goat working on servers leading data to the cloud and to a proved treatment&#8221; title_text=&#8221;PTP Hero Section Goat Illustration&#8221; align=&#8221;center&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; max_width_tablet=&#8221;75%&#8221; max_width_phone=&#8221;75%&#8221; max_width_last_edited=&#8221;on|tablet&#8221; custom_padding=&#8221;25px||25px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;|auto|29px|auto||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;#ffffff&#8221; text_font_size=&#8221;1.5rem&#8221; text_line_height=&#8221;2.1rem&#8221; max_width_tablet=&#8221;620px&#8221; max_width_phone=&#8221;620px&#8221; max_width_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]\n<p data-pm-slice=\"1 1 []\">A precision medicine biotech company specializing in oncology partnered with PTP to streamline their reporting processes using Generative AI. By leveraging AWS Bedrock and custom AI training, the company reduced IND reporting time by 95%, enhancing productivity while maintaining the CEO&#8217;s unique writing style across critical communications.<\/p>\n[\/et_pb_text][dsm_icon_list icon_font_size_tablet=&#8221;&#8221; icon_font_size_phone=&#8221;20px&#8221; icon_font_size_last_edited=&#8221;on|phone&#8221; module_class=&#8221;hero-stat&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;13px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][dsm_icon_list_child text=&#8221;*95% Time Reduction: The CEO reduced IND reporting time to approximately 1\/20th of the time previously required.&#8221; font_icon=&#8221;&#xf021;||fa||900&#8243; icon_padding=&#8221;1px&#8221; icon_font_size=&#8221;2rem&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|500|on||||||&#8221; text_text_color=&#8221;#0ca8fc&#8221; text_font_size=&#8221;1.2rem&#8221; text_line_height=&#8221;1.25rem&#8221; text_font_size_tablet=&#8221;1.2rem&#8221; text_font_size_phone=&#8221;1rem&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_icon_list_child][\/dsm_icon_list][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;32px||1px|||&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;8px||1px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font||||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;45px||||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22%93}&#8221;]\n<h2><span style=\"font-size: xx-large; color: #0c71c3;\"><strong>The Challenge<\/strong><\/span><\/h2>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;2px||63px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_margin=&#8221;||7px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22,%22text_text_color%22,%22text_text_color%22%93}&#8221;]\n<p data-pm-slice=\"1 1 []\"><span style=\"color: rgba(0, 0, 0, 0.74);\">A precision medicine research company focusing on oncology faced a common challenge in smaller biotech firms: limited resources. The company\u2019s CEO, while managing numerous responsibilities, was the sole author of Investigational New Drug (IND) reports required for FDA filings. Additionally, the CEO authored board reports, investor communications, other FDA documents, and internal communications\u2014all needing to reflect the CEO\u2019s unique writing style and tone.<\/span><\/p>\n<p><span style=\"color: rgba(0, 0, 0, 0.74);\">The company sought a way to augment the CEO\u2019s writing capabilities to increase speed and productivity while maintaining the personalized nature of their communications. This required a solution that could align with the CEO\u2019s voice and handle the technical and scientific complexity of IND reports.<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|tablet&#8221; next_background_color=&#8221;#ffffff&#8221; admin_label=&#8221;Section&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#3e489d&#8221; background_image=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/10\/Square-Pattern-Hero-Background.png&#8221; custom_padding=&#8221;||52px||false|false&#8221; custom_padding_tablet=&#8221;40px||40px||true|false&#8221; custom_padding_phone=&#8221;40px||40px||true|false&#8221; bottom_divider_style=&#8221;arrow&#8221; bottom_divider_height=&#8221;83px&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_padding=&#8221;||99px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; module_class=&#8221;col-vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font||||||||&#8221; text_text_color=&#8221;gcid-secondary-color&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;||0px||false|false&#8221; custom_padding=&#8221;||16px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22text_text_color%22%93}&#8221;]\n<h2><span style=\"font-size: xx-large; color: #ffffff;\"><strong>The Solution<\/strong><\/span>\u00a0<\/h2>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;#ffffff&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_margin=&#8221;||0px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]\n<p>PTP identified Generative AI as the ideal solution to address the CEO\u2019s challenge. By analyzing 20GB of existing written materials from the CEO\u2014including published papers, previous IND reports, internal documents, and emails\u2014PTP proposed training a custom Generative AI model. The solution included:<\/p>\n<p><strong>Training Data<\/strong><br \/>Used the CEO\u2019s extensive written materials to train the model in their specific tone and style.<\/p>\n<p>Incorporated scientific materials from the company\u2019s lab, information systems, and research papers to fine-tune the AI for their field of oncology.<\/p>\n<p><a href=\"https:\/\/aws.amazon.com\/bedrock\/\"><strong>AWS Bedrock<\/strong><\/a><br \/>Leveraged AWS Bedrock for its ability to securely train models using private internal data, eliminating risks of data leaks.<\/p>\n<p>Provided flexibility to switch between AI models, starting with Claude Three from the Anthropic Model, while enabling future experimentation.<\/p>\n<p><strong>Optimization for Usability<\/strong><br \/>Minimized prompt engineering by training the model to deliver outputs aligned with the CEO\u2019s style and the latest scientific insights.<\/p>\n<p>Enabled the CEO to easily interact with the model and generate high-quality content quickly.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;32px||1px|||&#8221; da_disable_devices=&#8221;off|off|off&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;36px|auto||auto||&#8221; custom_padding=&#8221;2px||68px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;#474747&#8243; text_font_size=&#8221;27px&#8221; text_line_height=&#8221;2rem&#8221; custom_margin=&#8221;||3px|||&#8221; custom_padding=&#8221;||25px|||&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]\n<h2><span style=\"font-size: xx-large; color: #0c71c3;\"><strong>The Outcome<\/strong><\/span><\/h2>\n<p><span style=\"font-size: xx-large; color: #0c71c3;\"><strong><\/strong><\/span><\/p>\n<p>By implementing AWS Bedrock and fine-tuning the Generative AI model:<span style=\"font-size: xx-large; color: #0c71c3;\"><strong><\/strong><\/span><span style=\"font-size: xx-large; color: #0c71c3;\"><\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;&#8211;et_global_heading_font|300|||||||&#8221; text_text_color=&#8221;rgba(0,0,0,0.66)&#8221; text_font_size=&#8221;28px&#8221; text_line_height=&#8221;2.3rem&#8221; custom_padding=&#8221;21px|25px|21px|25px|true|true&#8221; text_font_size_tablet=&#8221;28px&#8221; text_font_size_phone=&#8221;24px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; border_radii=&#8221;on|2px|2px|2px|2px&#8221; border_width_all=&#8221;1px&#8221; global_colors_info=&#8221;{}&#8221;]\n<p><strong>Time Efficiency<\/strong><br \/>The CEO <span style=\"color: #0c71c3;\"><strong>reduced the time required for IND reporting by 95%<\/strong><\/span>, completing reports in 1\/20th of the previous time.<\/p>\n<p><strong>Strategic Impact<\/strong><br \/>Freed from time-consuming writing tasks, the CEO could focus more on tactical and strategic priorities.<\/p>\n<p><strong>Scalability<\/strong><br \/>The model\u2019s flexibility allowed it to be used for other critical communications, including board reports, investor relations, and FDA documents.<\/p>\n<p>This solution provided a significant productivity boost while maintaining the CEO\u2019s distinct voice and ensuring the accuracy and relevance of scientific content.\u00a0<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; module_class=&#8221;vert-cent&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85%&#8221; max_width=&#8221;1380px&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; module_id=&#8221;contact&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/12\/Graphs-Isometric-Contained-Icon.png&#8221; alt=&#8221;Graphs Isometric Contained Icon&#8221; title_text=&#8221;Graphs Isometric Contained Icon&#8221; show_bottom_space=&#8221;off&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; width_tablet=&#8221;200px&#8221; width_phone=&#8221;150px&#8221; width_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;|||-20px|false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_heading title=&#8221;Ready to Revolutionize Your Reporting Processes?&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; title_level=&#8221;h2&#8243; title_font=&#8221;&#8211;et_global_heading_font|600|||||||&#8221; title_text_align=&#8221;left&#8221; title_text_color=&#8221;gcid-0e52a8f4-5dfd-4102-9f40-fd354ef9edd5&#8243; title_font_size=&#8221;2.88rem&#8221; title_line_height=&#8221;1.2em&#8221; max_width_tablet=&#8221;100%&#8221; max_width_phone=&#8221;300px&#8221; max_width_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;15px||5px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{%22gcid-0e52a8f4-5dfd-4102-9f40-fd354ef9edd5%22:%91%22title_text_color%22%93}&#8221;][\/et_pb_heading][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Ubuntu||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;1.25rem&#8221; text_line_height=&#8221;1.75rem&#8221; max_width=&#8221;620px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]\n<p data-pm-slice=\"1 1 []\">Accelerate your reporting and enhance productivity with PTP&#8217;s custom Generative AI solutions, designed to reduce reporting time while preserving your unique voice and optimizing your workflows.<\/p>\n<p>&nbsp;<\/p>\n[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/ptp.cloud\/ai-in-biotechnology\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;PTP&#8217;s AI Solutions&#8221; button_alignment=&#8221;left&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;18px&#8221; button_text_color=&#8221;#ffffff&#8221; button_bg_color=&#8221;gcid-primary-color&#8221; button_border_width=&#8221;0px&#8221; button_border_radius=&#8221;50px&#8221; button_font=&#8221;Ubuntu|500|||||||&#8221; button_use_icon=&#8221;off&#8221; custom_padding=&#8221;0.8rem|1.8rem|0.8rem|1.8rem|true|true&#8221; button_text_size_tablet=&#8221;1rem&#8221; button_text_size_phone=&#8221;1rem&#8221; button_text_size_last_edited=&#8221;on|tablet&#8221; locked=&#8221;off&#8221; 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By leveraging AWS Bedrock and custom AI training, the company reduced IND reporting time by 95%, enhancing productivity while maintaining the CEO&#8217;s unique writing style across critical communications.<div class=\"et_pb_module dsm_icon_list dsm_icon_list_0 &#8221;hero-stat&#8221;\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module_inner\">\n\t\t\t\t\t<ul class=\"dsm_icon_list_items dsm_icon_list_ltr_direction dsm_icon_list_layout_vertical\"><\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div><\/p>\n","protected":false},"author":445,"featured_media":16777,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<p>In the fascinating and high-stakes domain of biotechnology, research validation and acquisition of the next wave of funding stand as crucial checkpoints in the journey of a startup. Amid an environment characterized by escalating scrutiny and disturbing reports of manipulated outcomes, it becomes critical to build an infrastructure that is not only efficient but also transparent and reliable. Our client in the startup life sciences space needed to build out their environment for informatics on AWS while requiring PTP help significantly expedite the research process and, most importantly, validate its authenticity.<\/p><p>The primary goal in fortifying the validity of research is in streamlining and automating the data processing pipelines. The science required the expertise to support scaling homegrown pipelines, industry-leading solutions such as Nextflow, which provides a scalable and reproducible scientific workflow using software containers, as well as open-source conglomerates like Cell Ranger, Seurat, Picard, and Star Aligner, which have shown proven results in genomics and computational biology. This client demanded a cloud pipeline solution that was automated, repeatable, easily changeable and fully documents to ensure research validation. These solutions, when interlaced with robust AWS offerings like EC2, ELB, Auto Scaling, Lambda, and Fargate, create a scalable, cost-efficient, and high-throughput data processing solution that stands all the major test of validation.<\/p><p>PTP leveraged EC2 Image Builder and Service Catalogs to produce images in a controlled and repeatable manner. This allows for scientists and informaticians to independently launch pipelines through Service Catalog. These users have limited permissions to just launch Service Catalog everything else is controlled through the code process and permissions are minimized by the security group for control.<\/p><p>PTP centralized the building of images in one account and that account shares across the organization into those required accounts which exchange information between accounts with Amazon Parameter Store.<\/p><p>Image building was automated using EC2 Image Builder allowing PTP to build different standard images for different functions. From there the team created a recipe in Image Builder containing the software components that make up the image and defines the ownership of the component. This provides complete documentation on what software and versions are installed, which in life sciences is essential for controlling variables and seeking research validation. This Build account has access to private and controlled code repositories so that software version can be frozen or recreated from any point in time<\/p><p>These builds were all written into Terraform to maintain the image files and component lists and version controlled by AWS Code Commit. As components change in Terraform, for example a software update to \u201cversion 4.2\u201d, Terraform will know the file has changed and will deploy a new version of the component which then creates a new version of the recipe in Image Builder.<\/p><p>For cost optimization, the Service Catalog services are tied to Cloudwatch events that trigger when devices go idle, then SQS queue and Lambda are used to terminate resources they go idle for a period of time. When services\/images are recreated, they are automatically reconnected to persistent storage. \u00a0Going forward, PTP is working with this client to incorporate Amazon WorkSpaces and AWS Managed AD to further isolate data and create additional levels of control and security.<\/p><p>The result of this design and infrastructure-as-code implementation is a data management platform that will aid in the effort of research validation due to the limitation of variables and changes. The team also estimates between a 50-75% savings reduction driven through the automated deployment and tear-down of resources for use only when called upon verses building a traditional cloud computing environment. Lastly, the least-privilege access configurations enhance the protection of sensitive data which aligns with the consistent approach to the build of a Well Architected AWS environment.<\/p><p>\u00a0<\/p><h3>Purchase PTP's <a href=\"https:\/\/aws.amazon.com\/marketplace\/pp\/prodview-it7fjq6rqix74?sr=0-13&ref_=beagle&applicationId=AWSMPContessa\">CloudOps Offer<\/a> on AWS Marketplace!<\/h3><p>\u00a0<\/p><h3>Learn More about PTP's CloudOps <a href=\"https:\/\/ptp.cloud\/cloud-ops\/\">HERE<\/a><\/h3>","_et_gb_content_width":"","content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[232,23,12,14],"tags":[76],"table_tags":[],"class_list":["post-14539","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aiops-archive","category-aws-archive","category-aws-for-life-sciences-archive","category-case-studies-archive","tag-aws"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How Generative AI Helped a Biotech CEO Cut IND Reporting Time by 95%<\/title>\n<meta name=\"description\" content=\"Discover how PTP used AWS Bedrock to reduce IND reporting time by 95% for a biotech CEO, enhancing productivity and precision.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ptp.cloud\/genai-ind-reporting-aws-bedrock\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Generative AI Helped a Biotech CEO Cut IND Reporting Time by 95%\" \/>\n<meta property=\"og:description\" content=\"Discover how PTP used AWS Bedrock to reduce IND reporting time by 95% for a biotech CEO, enhancing productivity and precision.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ptp.cloud\/genai-ind-reporting-aws-bedrock\/\" \/>\n<meta property=\"og:site_name\" content=\"PTP | Cloud Experts | Biotech Enablers\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PTPCloud\" \/>\n<meta property=\"article:published_time\" content=\"2025-01-07T02:32:01+00:00\" \/>\n<meta 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