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Future Prospects of Global Laboratory Proficiency Testing Market

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Laboratory Proficiency Testing Market  The global Laboratory Proficiency Testing Market is estimated to be valued at US$ 1.29 billion in 2023 and is expected to exhibit a CAGR of 7.3% over the forecast period 2023 - 2030, as highlighted in a new report published by Coherent Market Insights. Market Overview: Laboratory proficiency testing involves evaluating the performance of laboratories for a given scope of testing through inter-laboratory comparisons. It helps assess the quality and competence of laboratories by determining reproducibility and accuracy of test results. Proficiency testing products are used by laboratories to determine method validity and accuracy, and improve testing processes. Market Key Trends: One of the major trends in the laboratory proficiency testing market is the growing number of accredited medical laboratories. Accreditation assures compliance with ISO 15189 and ISO/IEC 17025 standards, which require participation in proficiency testing programs. Acc...

Deep Learning in Drug Discovery and Diagnostics Market - Size, Shares, Scope, Competitive Landscape and Segmentation Analysis

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  Deep learning is a type of machine learning that examines enormous amounts of data, both labelled and unlabeled, as well as multi-dimensional and complicated data with non-trivial patterns. With unsupervised feature learning, it is claimed to be a replacement for manual feature engineering. The increased surge of multimodality data has necessitated the application of artificial intelligence in health information systems for data analytics. This has resulted in an increase in the use of analytical data-driven models in health informatics, which are based on machine learning. In the near future, this is predicted to be one of the most important elements supporting the expansion of deep learning in the drug discovery and diagnostics market . Deep learning is a new technology based on artificial neural networks that is likely to gain popularity in the near future in the drug discovery and diagnostics business. It is predicted to develop into a key tool for deep learning in the heal...

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