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"The implementation of molecular laboratory-developed tests (LDTs) can be a challenge for many clinical laboratories due to complex regulatory requirements and lack of standardized guidance for validation studies. To assist clinical laboratory teams in overcoming the obstacles, DarkDaily will host a free 60-minute webinar Wednesday, November 8, 2023, at noon, Pacific. 'Best Practices in Molecular Assay Validation for Laboratory-Developed Tests' will explain validation requirements as defin ... Read More

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"In this hour-long, interactive webinar you’ll meet scientists working at the forefront of astrochemistry research and learn how they recreate the extreme environments of space here on Earth. You’ll then learn how they obtain analogous high-resolution data with which to compare to the spectra sent back from space. You will also see how data obtained in space and in laboratories is used alongside computational astrochemistry techniques to understand the processes that drive the chemical ev ... Read More

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Solicitation #: 40-52100-23-06109 The State of New Mexico is seeking bids for environmental laboratory services. See pages 11–25 for requirements and test methods. Due date: 07 November 2023, 2:00 p.m. PST ... Read More

"The global adoption of wastewater surveillance as a cost-effective measure in response to the COVID-19 pandemic has catalyzed a number of notable advancements and expansions across the WBE landscape. The economically advantageous nature of the technique renders it particularly appealing to developing nations and other communities facing economic and resource constraints, against limited healthcare access. However, these communities have historically received limited attention in the global diss ... Read More

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"Enterprise imaging is at the forefront of the digital healthcare revolution. With it brings a striking reality, managing medical images is not easy. Healthcare providers and medical imaging ISVs alike face challenges to minimize the cost to store images, to reduce the overhead needed managing storage solutions, and to protect images from cyber-attack. These challenges will intensify as organizations adopt new workloads like digital pathology and apply AI algorithms to improve patient care. S ... Read More

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"The proper preparation of heat sensitive samples is a critical aspect of laboratory work across various industries. Ensuring that samples maintain their integrity throughout the sample preparation process is essential for accurate results. In this webinar, our experts will delve into the challenges associated with heat sensitive samples and share valuable insights into effective strategies to overcome these challenges. Whether you are in pharmaceuticals, biotechnology, environmental analysi ... Read More

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Biobanking workflows are continually improving with the implementation of innovative technologies that enhance productivity. Safe cold storage and active sample management help build an efficient process through standardization that promotes high-quality of data generation and collaboration. Whether pursuing accreditation, best practices, or international standards, documentation of a verified and validated sample processing protocol is a growing requirement. In this webinar, Wilfredo Marin, Sen ... Read More

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Solicitation #: Unknown The City of Auburn, New York's Department of Municipal Utilities is seek bids for laboratory analysis services. Due date: 02 November 2023, 4:00 p.m. EDT ... Read More

Gavin Wang and Maria Burton of MP Biomedicals discuss "sample preparation solutions for environmental and agricultural research using homogenizers and kits." ... Read More

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"In recent years, deep learning has shown impressive performance in medical imaging analysis. However, for a model to be useful in the real world, it needs to be valid and trustworthy. The uncertainty quantification (UQ) methods determine the calibrated level of a model’s confidence in its predictions. Moreover, UQ can demonstrate biases caused by overconfidence or lack of confidence in the model’s predictions. By enabling UQ in medical deep learning models, users can be alerted when a model ... Read More

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