Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...
In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
Researchers have developed a powerful new method to simulate and predict how cracks form and grow in engineering materials ...
AI models outperform traditional statistics in predicting post-complete cytoreduction outcomes in ovarian cancer patients. AI's diagnostic accuracy was high for predicting overall survival and no ...
Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...
Explore how prediction markets work, their types, real-world applications, and the benefits they offer in forecasting events ...
Polymarket’s decentralized forecasting has caught Wall Street’s eye. The New York Stock Exchange’s parent, Intercontinental Exchange (NYSE:ICE), made a headline-grabbing US$2 billion investment last ...
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