Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: The development of online education has brought about a massive amount of online learning behavior data. How to fully utilize and analyze these data is a research hotspot of concern in ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

Studying trends in mortality is essential to advance understanding of population health. Further evaluation of long‐term heart disease mortality trends and subtypes in the United States is needed to ...

So, you want to learn Python? It’s a really popular programming language, and for good reason. It’s used in tons of different jobs, from building websites to working with data. If you’re just starting ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...