Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.
Find out how machine learning analyses WhatsApp voice messages to identify depression and what this could mean for future ...
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