This article describes the efficient development of robust analytical methods based on Analytical Quality by Design (AQbD) using dedicated LabSolutions MD software, which supports each phase of the ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
As interest in essential oils (EOs) for their therapeutic, antibacterial, and antifungal properties continues to grow—driving demand for high-quality products in both medicinal and industrial ...
Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Surface properties dictate a vast array of material characteristics that are crucial to performance, durability, and intended functionality across diverse industries. Properties such as friction, wear ...
In this interview, Dr. Steve Ward-Smith explores the analytical challenges and opportunities shaping the development of nasal spray therapeutics.
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