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AI Takes Center Stage at NEXT New York: Medidata Showcases AI Companions and Orchestrated Intelligence Transforming Life Sciences
Globenewswire· 2026-03-10 14:00
Core Insights - Medidata has introduced a transformative vision for the life sciences industry, unveiling AI-based virtual companions and a new AI ecosystem that aims to enhance clinical trial processes and patient therapy delivery [1][8] Group 1: AI Companion and Platform - The flagship AI companion, Dot, integrates Medidata Study, Data, and Patient Experiences, streamlining clinical workflows and enhancing trial optimization through a vast data library from 38,000 research studies involving over 12 million patients [2][5] - Dot automates complex workflows, significantly reducing study build timelines from weeks to hours, allowing teams to transition from design to execution with improved precision [5][6] Group 2: Real-Time Insights and Simulations - The platform enables continuous updates of plans and forecasts in real time as new data flows in, providing unprecedented insight, speed, and control in clinical trial planning [6] - Virtual workspaces allow teams to design, test, and simulate trial performance and financial outcomes before patient enrollment, enhancing overall trial strategy [5][6] Group 3: Industry Impact and Leadership - Dassault Systèmes' extensive reach in the life sciences value chain is highlighted, with a focus on overcoming bottlenecks to expedite the delivery of life-saving therapies [7][8] - Medidata's 25 years of industry knowledge has been transformed into an intelligence layer that bridges gaps and fosters connectivity across the life sciences sector [8] Group 4: Event and Collaboration - The NEXT New York 2026 event gathered over 1,000 global life sciences leaders to discuss the impact of AI and orchestrated intelligence on clinical trials, featuring nearly 50 keynotes and interactive sessions [9] - Collaboration with industry leaders such as AbbVie, BMS, and Pfizer emphasizes the collective effort to innovate and improve clinical development processes [9]
Medidata and CRIO Empower Over 2,500 Global Research Sites with Seamless Integration to Accelerate Clinical Trials
Globenewswire· 2026-03-04 13:00
Core Insights - Medidata has formed a strategic partnership with CRIO to enhance clinical trial data quality and efficiency across over 2,500 research sites in approximately 30 countries [1][2] Group 1: Partnership Overview - The collaboration creates a "plug-and-play" digital pipeline that automates the transfer of clinical data from CRIO eSource to the Medidata Platform, simplifying technical processes and reducing costs [2] - This partnership aims to eliminate manual data handling at clinical sites, which has historically been time-consuming and error-prone [2] Group 2: Performance Metrics - The integration supports near 100% data accuracy, significantly reducing queries and data changes [6] - Data entry speed has improved by 90%, allowing sites to auto-populate electronic data capture (EDC) forms with source data [6] - The CRIO-Medidata ecosystem is utilized by one in four US research sites engaged in chronic condition trials [6] Group 3: Company Background - Medidata has over 25 years of experience in clinical trial solutions, having supported more than 38,000 trials and 12 million patients [3] - The company is recognized for its technological innovation and has a large clinical trial data set, with over 1 million registered users [3] - CRIO specializes in eSource solutions for clinical research, focusing on data collection and management to enhance protocol compliance and reduce errors [4]
Medidata’s Experience-based AI Earns Top Luminary Rating in Everest Group 2026 Review
Globenewswire· 2026-03-03 13:00
Core Insights - Medidata has achieved the highest "Luminary" rating in Everest Group's 2026 Innovation Watch for AI applications in clinical development, being the only provider with a 100% market adoption score for its AI-powered solutions [1][2] Group 1: AI Applications and Impact - Medidata's AI functionality supports 80% of FDA novel drug approvals in 2025, showcasing its significant impact on the clinical trial landscape [1] - The report evaluates various AI applications, including Generative AI for data synthesis, Agentic AI for workflow streamlining, and Advanced AI for digital twins and trial simulations, highlighting Medidata's transition of AI from theory to measurable performance [2] Group 2: Efficiency Gains from AI Integration - Medidata's end-to-end platform incorporates experience-based AI, leading to substantial efficiencies in the clinical trial lifecycle, such as a reduction in enrollment times by up to 37% and shortening data review cycles by up to 80% [3][6] - The company saves 70 hours for every 1,000 terms coded through automated medical coding, demonstrating operational scalability [6] Group 3: Company Overview and Achievements - Medidata has over 25 years of technological innovation, supporting more than 38,000 trials and 12 million patients, and is recognized for its expertise and analytics-powered insights [4] - The company has more than 1 million registered users across approximately 2,300 customers, emphasizing its trust and reliability in the industry [4]
Medidata Debuts Protocol Optimization at ASCO, Leveraging AI to Transform the Study Experience
Globenewswire· 2025-05-29 12:00
Core Insights - Medidata has launched Medidata Protocol Optimization, a new solution aimed at improving clinical trial design and execution, which will be showcased at the ASCO 2025 conference [1][3] - The solution utilizes AI-driven predictive modeling and digital protocols to enhance trial performance, reduce patient and site burden, and lower costs associated with clinical trials [2] Company Overview - Medidata is a leading provider of clinical trial solutions, celebrating 25 years of innovation with over 36,000 trials and 11 million patients involved [4] - The company offers a comprehensive platform that supports more than 1 million registered users across approximately 2,300 customers, focusing on improving patient experiences and accelerating clinical breakthroughs [4] Industry Context - Oncology trials are noted for their complexity, often requiring more adjustments than other therapeutic areas, highlighting the need for solutions like Protocol Optimization to streamline processes [3]