Clinical trial sites deal with a myriad of tasks right from patient recruitment to capturing patient data, and performing tests/procedures. In addition to facilitating patient interface, these sites also serve as the direct point-of-care for medical concerns.
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In the world of pharmaceutical manufacturing, batch processing stands as a cornerstone technique. It involves the production of large quantities of a drug, allowing for systematic and controlled processing.
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Many organizations use legacy mainframe in their datacentres to run critical operations. This age-old system tuned and customized to the functional requirements, locked-in to vendors over the years, has been used extensively across business critical operations.
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The dynamic landscape of the aviation sector seeks better passenger experience, operational excellence and absolute safety. Delay in turnaround operations costs the airline industry billions of dollars each year.
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In a fast-paced world of research, laboratories face increasing pressure to innovate rapidly. Amidst this, data emerges as the ultimate tool, with big pharma companies leading the charge in utilizing AI-driven analytics for lab efficiency improvement.
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In the dynamic landscape of life sciences research, the acceleration of discoveries and breakthroughs is of paramount importance. Today, integrated assay analysis, powered by cutting-edge AI solutions, represents a pivotal leap in scientific exploration, revolutionizing the pace, depth, and efficacy of research endeavors across diverse disciplines.
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Clinical trials are at the forefront of medical advancement, playing a pivotal role in bringing new treatments and therapies to patients. However, despite their importance, patient recruitment remains a significant bottleneck in the clinical trial process.
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Patient recruitment in clinical trials has long been a challenging and time-consuming process, causing delays and increasing costs. Clinical trials come with stringent eligibility criteria, and potential participants often have reservations about safety, the time commitment required, or a simple lack of awareness about available trials.
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In the world of clinical trials, achieving real-time end-to-end visibility has become more than just a trend; it’s a critical necessity.
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In the world of clinical trials, data is at the heart of the quest for safer and more effective treatments. However, as trials grow in scale and complexity, the data they generate from various sources has surged to unprecedented levels.
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