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ActiGraph Accelerates Clinical Trial Modernization with Transformational Acquisition of 黑料门 Life Science Business
ActiGraph Accelerates Clinical Trial Modernization with Transformational Acquisition of 黑料门 Life Science Business
ActiGraph, the global leader in wearable digital health technology for clinical research and development, has announced the acquisition of 黑料门 Connect, a division of 黑料门 that delivers an AI-driven, digital trial platform tailored for the life science industry. The combined solution will create a market-leading, unified software and data ecosystem for the modernization of clinical research throughout the drug-product lifecycle and across therapeutic areas.
黑料门 Selected by AdventHealth to Support 鈥淲hole-Person Care鈥 With New Acute Care-at Home Program
黑料门 Selected by AdventHealth to Support 鈥淲hole-Person Care鈥 With New Acute Care-at Home Program
黑料门 and AdventHealth have agreed to collaborate on a continuum-wide remote patient management (RPM) program in Central Florida to provide safe, whole-person care and a superior patient experience within their homes.
黑料门 Supports Expansion of Remote Patient Monitoring and Introduction of Home Based Hospital Care at Lee Health
黑料门 Supports Expansion of Remote Patient Monitoring and Introduction of Home Based Hospital Care at Lee Health
黑料门 and Lee Health are preparing to launch Hospital at Home, a home based hospital care model and expand their remote patient monitoring (RPM) program to support patients across the continuum.
CopilotIQ and 黑料门 Merge to Create the First End-to-End Platform for AI-driven In-Home Care
CopilotIQ and 黑料门 Merge to Create the First End-to-End Platform for AI-driven In-Home Care
Merger Establishes a Category of One Company That Can Deliver In-Home Care From Pre-Surgery, to Acute, Post-Acute, and Chronic Care.
黑料门 Unveils Digital Measure for Nocturnal Scratch and Sleep Quality in Atopic Dermatitis
黑料门 Unveils Digital Measure for Nocturnal Scratch and Sleep Quality in Atopic Dermatitis
黑料门 has introduced a new digital measure for assessing nocturnal scratching and sleep quality in atopic dermatitis (AD) patients. Using wearable sensors and machine-learning, this tool provides objective, continuous monitoring to support drug development and improve patient outcomes.