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ePS was founded in 2001 by Lance Converse and is headquartered in Plymouth Meeting, Pennsylvania, employing 60+ clinical researchers and technologists. ePharmaSolutions' Clinical Trial Portal technology won the 2009 and 2013 Bio-IT World for “Best in Class Clinical Trial Technology” and the 2013 Microsoft Lifesciences Innovation Award ...
Medidata Solutions is an American technology company that develops and markets software as a service (SaaS) for clinical trials.These include protocol development, clinical site collaboration and management; randomization and trial supply management; capturing patient data through web forms, mobile health (mHealth) devices, laboratory reports, and imaging systems; quality monitor management ...
Nightscout is a collection of software tools, including mobile clients, to enable DIY cloud-based continuous glucose monitoring "…for informational and educational purposes." [ 31 ] Individual components are available under various open-source licenses, including the GNU GPL , [ 32 ] GNU AGPL , [ 33 ] MIT License , [ 34 ] and BSD licenses .
One that 4G Clinical is hoping will survive the pandemic is a need for speed and flexibility in therapeutics trials. 4G Clinical creates software to run the back-end of a clinical trial.
A Clinical Trial Management System (CTMS) is a software system used by biotechnology and pharmaceutical industries to manage clinical trials in clinical research. The system maintains and manages planning, performing and reporting functions, along with participant contact information, tracking deadlines and milestones.
Software platform, allows organizations to integrate, analyze, and share complex biomedical data Linux, macOS, Windows: Apache: LabKey Software Foundation LAMMPS: Molecular dynamics program written in C++: Linux, macOS, Windows: Apache: Sandia National Laboratories. mothur: Software for analysis of 16S rRNA gene amplicon sequence data Linux ...
A Clinical Decision Support System (CDSS) is a computerized tool designed to assist healthcare providers in making clinical decisions by integrating medical knowledge with patient data. These systems utilize algorithms, databases, and patient information to provide tailored recommendations, alerts, and reminders to healthcare professionals at ...
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