Automated NMR is ideal for pharmaceutical QC, from streamlined identification testing to improved consistency and compliance.
Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...
On June 12, Anthropic announced that the United States government issued the company a directive to suspend access to its latest large language models (LLMs) Mythos 5 and Fable 5 for any foreign ...
I seriously wonder how many of the hand crank people have ever actually lived with a car that had hand crank windows. As someone who grew up with hand crank windows on an assortment of '60s Pontiacs, ...
Authorities say air quality remains within normal limits, but residents in Garden Grove are urged to evacuate if an explosion occurs because officials cannot control where it may spread. Trump’s new ...
With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...
Consumer products and other proximal (or “near-field”) sources have been identified as significant contributors to human exposure for many chemicals 1,2,3. Quantitative data on the composition of ...
These epidemiologic patterns highlight the limitations of focusing on genetics alone. Although the Human Genome Project greatly expanded our understanding of hereditary contributions to disease, genes ...
Raman spectroscopy is utilised extensively in pharmaceutical analysis for tasks such as drug discovery, quality control and active pharmaceutical ingredient (API) development. Despite this, access to ...
Professionals are navigating rapid change; and staying ahead of the curve is no easy feat. As AI continues to transform the way people hire and get hired in 2025, those who adapt by embracing new ...
The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...
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