Posted on November 1, 2024
By Kalleid
Blog

A rapidly growing startup using AI to identify clinical candidates needed to align its IT policy with NIST SP500-53 and COSO standards. It sought help from Kalleid, recognized for its compliance expertise in the life sciences and pharmaceutical sectors.
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Posted on November 1, 2024
By Autoscribe Informatics Inc.
Blog

In heavily regulated industries, data management takes top priority. Learn about ensuring data integrity and traceability and the critical role of LIMS.
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Posted on November 1, 2024
By Confience
Blog

The Kenya Bureau of Standards (KEBS) sought a comprehensive solution to enhance sample processing, regulatory compliance, and secure web access to data. They chose Confience’s Sample Master LIMS and Result Point® web portal for a complete laboratory data management solution.
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Posted on October 31, 2024
By LabLynx
Blog

Identify lab automation opportunities to boost efficiency, cut costs, and enhance productivity with proven strategies and real-world insights.
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Posted on October 28, 2024
By Corinne Jones
Newsletter
October 28, 2024 Laboratory Informatics Weekly Update Volume 22, Issue 43 In This Issue Featured Books Justifying LIMS Acquisition and Deployment within Your Organization Featured Content Preparing for the Future: What Labs Should Consider for 2025Is your lab ready for 2025? Stay ahead by adopting AI-driven automation, cloud-based solutions, and advanced data analytics. Prepare for tighter compliance requirements and focus on sustainability to enhance efficiency and stay competitive. The future is now—elevate your lab’s technology and unlock new opportunities for innovation! [Read More] AI in Biotech: A Game Changer For Project ManagementAI tools are helping project managers move their…
Posted on October 24, 2024
By LabLynx
Blog

Is your lab ready for 2025? Stay ahead by adopting AI-driven automation, cloud-based solutions, and advanced data analytics. Prepare for tighter compliance requirements and focus on sustainability to enhance efficiency and stay competitive. The future is now—elevate your lab’s technology and unlock new opportunities for innovation!
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Posted on October 24, 2024
By Kalleid
Blog

AI tools are helping project managers move their project faster and more efficiently. AI tools can automate repetitive tasks, analysis of vast amounts of data, and making more informed decisions in less time and with greater efficiency. In the pharmaceutical and biotech industry, AI’s ability to optimize project management operations is especially important.
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Posted on October 24, 2024
By Confience
Blog

Embarking on the journey to purchase or upgrade your Laboratory Information Management System (LIMS) is a significant and complex endeavor. However, with thorough preliminary work, the benefits in time and monetary savings along with process enhancements, are substantial.
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Posted on October 24, 2024
By Sapio Sciences
Blog

Tired of the never-ending search for the scientific data you need for your experiments and workflows? Read on to hear more about the top challenges scientists can face when it comes to data searchability, and how the right platform overcomes them.
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Posted on October 24, 2024
By Kalleid
Blog

Project managers in the pharmaceutical and biotech sectors have historically relied on Waterfall project management methodologies to guide their work, providing the structure needed for regulatory adherence. However, with the increasing demand for nimbleness and speed in the development of new therapies, Agile methodologies have become more prevalent.
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Posted on October 24, 2024
By Confience
Blog

The University of Idaho Analytical Sciences Laboratory (ASL) is a full-service laboratory operating within the College of Agriculture & Life Sciences. ASL has five analytical services. Replacing an outdated LIMS, Confience’s Sample Master LIMS met their requirements, and much more.
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Posted on October 24, 2024
By Autoscribe Informatics Inc.
Blog

A Laboratory Information Management System (LIMS) provides the central repository for data produced in the laboratory. Mining that data using artificial intelligence (AI) allows managers to make decisions based on insights. But what do we mean by AI, when and how can a laboratory start to incorporate it in its processes, and when will it be all pervasive in the laboratory?
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