Acronyms aside, there are a few companies doing some interesting work with software to modernize these activities. Launched in 2015,4G Clinicalbuilt a platform using natural language processing (NLP) among other tools to reduce the time it takes to get a drug to a participant. Launched in 201...
Combined with clinical information top pharma companies have been able to annotate variants and their functional consequences to the genome to identify new drug targets or reposition compounds in their drug portfolio.” Learn more » “The Seven Bridges platform and Seven Bridges analysis tools ...
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Discover a unified digital platform for clinical trials with best-in-class decentralized and eCOA software. Streamline data collection, scale globally, and deliver smarter, faster results.
Clario’s library of pre-built commonly usedeCOA oncologyassessments gets you from study design to software release in just5 weeks. Beyond survival rates,Clario prioritizes the impact of treatments on patients’ mental health and daily functionality, ensuring their well-being remains paramount. ...
companies will collaborate on providing standardized central laboratory testing for clinical trials to their respective clients. The transaction also provides LabCorp access to Clearstone’s clinical trials management system APOLLO CLPM clinical trials management software, enhancing the ability of clients to ...
Software for clinical trials comes in many forms. It can be tailored to a specific task or it can be comprehensive in its applications across the entire process. Essentially, it’s one or more pieces of software used by CROs, biotech, and pharma companies to aid in the design, running, ...
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(Cerner Corporation), Epic Systems Corporation, and Koninklijke Philips N.V. hold a significant clinical decision support systems market share. These companies leverage their comprehensive healthcare IT platforms and vast technological resources to maintain dominance, offering integrated solutions that ...
companies to move and process large amounts of data effectively, to make data-driven scientific and business decisions quickly and accurately, and to generate evidence in support of future product value propositions. this will require new capabilities, new skill sets, and new partners...