Precious metals have a place in diversified portfolios. However, the assumption that they are immune to volatility or risk is ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
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Prediction: This Unstoppable Stock Will Soar to $20 Trillion by 2030, According to a Certain Wall Street Analyst
Despite a fierce debate about the ongoing adoption of artificial intelligence (AI), Nvidia continues to profit from the trend. Beth Kindig, CEO and lead tech analyst for the I/O Fund, made a case for ...
Scientists have shown that brain connectivity patterns can predict mental functions across the entire brain. Each region has a unique “connectivity fingerprint” tied to its role in cognition, from ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. With advances in protein engineering and multiomics ...
This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to help ...
Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...
The New England Patriots pulled off one of the most lopsided victories of the opening week of the NFL Preseason, winning 48-18 against the Washington Commanders. Meanwhile, the Minnesota Vikings got ...
Abstract: Intelligent prediction of protein function is more efficient and less resource-consuming and has achieved significant progress in recent years. However, most of the current methods are ...
Gene-set analysis seeks to identify the biological mechanisms underlying groups of genes with shared functions. Large language models (LLMs) have shown promise in generating functional descriptions ...
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