Drugs can be tricky. They can help, but they can also cause trouble, especially when mixed. Figuring out which drug combos are risky is a big deal in health tech. But, it's not easy. Most tools out there have a hard time with tricky sentences and rare drug links. They often miss the mark. So, a new
In the world of healthcare, understanding acute heart failure (AHF) is a tough nut to crack. Why? Because lots of important details are tucked away in unstructured text, not neat little boxes in electronic health records (EHRs). This is where large language models (LLMs) come into play. They can aut
In the world of single-cell research, foundation models like scGPT and Geneformer are making waves. These models are designed to handle complex data without needing extra training. This is known as zero-shot learning. It is crucial to test these models in zero-shot settings. This is because there ar
The idea that more computational power always leads to better results in AI reasoning is being challenged by recent findings. This is a big deal for companies looking to use advanced AI in their apps. The research looked at nine leading AI models and tested them with different methods to see how wel
Recent times have seen artificial intelligence (AI) making waves in medicine. One area where AI is being explored is in surgical contexts, particularly in interpreting medical images. This study dives into how six different AI tools, called multimodal large language models (MLLMs), handle images rel
Breast cancer grades, which are determined by cell structure, are crucial for planning treatment. Many researchers rely on deep learning (DL) models for this task. However, DL models can be a bit of a mystery. It's unclear which features they use to make accurate predictions. A recent study introduc
Imagine you have a powerful language model that's great at understanding text, but you want it to handle time series data. That's where this new method, called TEST, comes in. TEST doesn't try to change the language model itself. Instead, it changes how time series data is fed into the model. It fir
Understanding what people think about specific parts of products or services is crucial, especially in the online business world. Early attempts at sentiment analysis lumped opinions into overall document or sentence categories, missing the finer points. Aspect-based sentiment analysis (ABSA) steppe
Anthropic has just released an updated version of its smallest AI model, Claude 3. 5 Haiku. The catch? It's four times more expensive to use than its previous version. The company says Haiku is much smarter, but some AI experts aren't convinced that the price jump is worth it. During development, Ha
