Technical insights session to highlight human-in-the-loop AI agent workflows in drug developmentGAITHERSBURG, Md., Nov. 12, 2025 (GLOBE NEWSWIRE) -- BullFrog AI Holdings, Inc. (NASDAQ: BFRG; BFRGW) ("BullFrog AI" or the "Company"), a technology-enabled drug development company using artificial intelligence (“AI”) and machine learning to enable the successful development of pharmaceuticals and biologics, today announced that it will present a technical talk at the upcoming AI Drug Discovery & Development Sum ...

Core Insights - BullFrog AI Holdings, Inc. announced the acceptance of an abstract for presentation at the 2026 ASCO Gastrointestinal Cancers Symposium, highlighting the company's advancements in AI-driven precision oncology [1][2] - The study focuses on identifying patient subtypes that may respond better to glufosfamide, an investigational drug for pancreatic cancer, utilizing BullFrog AI's proprietary platforms [3][4] Company Overview - BullFrog AI is a technology-enabled drug development company that employs artificial intelligence and machine learning to enhance pharmaceutical and biologic development [1][5] - The company collaborates with leading research institutions to analyze complex biological data, aiming to improve drug discovery and reduce clinical trial failure rates [5] Collaboration and Research - The research was co-authored by experts from Moffitt Cancer Center and Eleison Pharmaceuticals, emphasizing the collaborative nature of the study [3] - The abstract titled "Data-driven subtyping and differential glufosfamide benefit in pancreatic adenocarcinoma" will be presented during the symposium and published in the Journal of Clinical Oncology [2][4] Industry Impact - The acceptance of the abstract by ASCO signifies the increasing recognition of AI's transformative potential in oncology research [4] - The study aims to provide insights that could lead to more precise and effective treatment strategies for challenging cancers like pancreatic adenocarcinoma [4]

Core Insights - BullFrog AI Holdings, Inc. is hosting a webinar on October 30, 2025, to discuss its advancements in drug development using AI and machine learning [1] - The event will feature insights from the founder and CEO, Vin Singh, highlighting the company's innovative AI-driven platforms and recent product launches [2] Company Overview - BullFrog AI focuses on transforming drug discovery and development through its scalable AI-driven platforms, including the BullFrog Data Networks™ Solutions Library and the bfLEAP™ causal AI engine [2] - The newly launched bfPREP™ module automates data cleansing and standardization, providing a flexible toolkit for drug development [2] - The company has strategic global collaborations, notably with CRO Sygnature Discovery, aimed at expanding commercial reach and driving revenue growth [2] Event Details - The webinar will include a live Q&A session following the presentation, allowing attendees to engage directly with the company's leadership [3] - Registration for the free webinar is available online, with options for pre-submitting questions [4]

Core Insights - BullFrog AI Holdings, Inc. is leveraging AI and machine learning to enhance drug development processes, focusing on reliable automation with human oversight [1][4] Webinar Details - A live webinar titled "Clinical Data Analysis with Agents: Reliable Automation with Human Oversight" will be presented by Dr. Juan Felipe Beltrán Lacouture on October 6, 2025, at 11:00 am EDT [1][7] - The webinar aims to showcase how BullFrog AI's platforms, bfPREP™ and bfLEAP™, can transform unstructured clinical data into structured datasets for advanced analysis [2][6] Technology and Methodology - BullFrog AI has successfully converted over 10,000 pages of unstructured clinical PDFs into an OMOP-structured dataset, facilitating machine learning applications [2] - The company emphasizes a balance between automation speed and the necessary human oversight to ensure data integrity and reliability [3][4] - The approach focuses on verified automation rather than full automation, aiming to enhance clinical research workflows while maintaining quality control [3] Commitment to Data Integrity - The CEO of BullFrog AI, Vin Singh, highlighted the company's commitment to advancing data integrity and reliability in drug development, showcasing the practical applications of their technologies [4]

Core Insights - BullFrog AI's bfLEAP™ platform aims to improve drug discovery success rates in a market where nearly 90% of drug candidates fail in clinical trials [1][2][4] - The company emphasizes a biology-native AI framework that provides transparency and causality in its analytics, contrasting with traditional black-box AI models [2][3] Company Overview - BullFrog AI Holdings, Inc. is a technology-enabled drug development company utilizing AI and machine learning to enhance pharmaceutical and biologic development [1][7] - The company has developed bfLEAP™, a proprietary platform designed to handle complex biomedical data and improve therapeutic decision-making [1][2] Market Positioning - The AI in drug discovery market is projected to exceed $35 billion by 2034, positioning BullFrog AI's bfLEAP™ as a leading solution that offers scientific clarity beyond mere automation [3] - The platform is part of BullFrog's broader Data Networks™ Solutions Library, which includes tools like bfPREP™ for data preparation [3][4] Technological Differentiation - bfLEAP™ is built to address the challenges of "short and wide" datasets and biological non-linearity, providing actionable insights throughout the drug development lifecycle [2][3] - The platform employs causal AI and combinatorial modeling to manage high-dimensional data effectively, correcting misleading patterns in biological datasets [2][3] Application in Drug Development - In early discovery, bfLEAP™ helps identify targets with high mechanistic potential based on molecular data [6] - During preclinical and Phase I trials, it detects subpopulations likely to respond to treatment, and in late-stage trials, it stratifies patients by genetic and behavioral variables [6]

Core Insights - BullFrog AI Holdings, Inc. is hosting a webinar on July 23, 2025, to discuss its advancements in drug development using AI and machine learning [1][2] - The company has launched the BullFrog Data Networks™ Solutions Library, which includes the bfLEAP™ causal AI engine and the new bfPREP™ module for data automation [2] - BullFrog AI is collaborating with Sygnature Discovery to enhance its global reach and drive revenue growth in the $204 billion biopharma R&D market [2] Company Overview - BullFrog AI utilizes AI and machine learning to improve drug discovery and development processes [5] - The company aims to reduce clinical trial failure rates by analyzing complex biological data through its proprietary platforms [5] Webinar Details - The webinar will feature insights from BullFrog AI's Founder and CEO, Vin Singh, followed by a live Q&A session [2][3] - Registration for the free webinar is available online [4]

Core Insights - BullFrog AI Holdings, Inc. has introduced bfPREP™, a data cleansing and preparation module aimed at addressing the multi-billion-dollar data quality challenge in life sciences by automating data processes for AI readiness [1][3] Industry Overview - The global market for data preparation and cleansing tools in life sciences and healthcare is projected to grow from approximately $3.1 billion in 2024 to $6.8 billion by 2029, driven by increasing data volumes and demand for AI-ready infrastructure [3] Product Features - bfPREP™ automates the detection, correction, standardization, and transformation of clinical, omics, and real-world datasets, converting raw information into analysis-ready insights [2][3] - The module is designed for end-to-end automation, significantly reducing data preparation timelines from months to days [5] - It supports standards-based interoperability, with native support for OMOP and plans for additional healthcare data standards [5] Strategic Value - bfPREP™ is tailored for various stakeholders in drug development, including clinical operations teams, contract research organizations (CROs), biotechs, and health IT managers, enhancing their ability to deliver cleaner, submission-ready data faster [5][6] - The solution integrates seamlessly with existing data lakes and supports hybrid environments, making it scalable and cloud-ready [5]