Living in a long-term care (LTC) home means heavy reliance on others for daily tasks due to physical and mental challenges. What's tricky is that medical treatment isn't always what residents want. It can make them uncomfortable with little benefit. This is where predictive models can help LTC provi
Imagine you're trying to steer a huge, complex system, like an ecosystem or a healthcare network. Agent-based models (ABMs) help us simulate these systems, but controlling them can be tough. Enter surrogate modeling: a clever technique that simplifies things. This method turns complex ABMs into smal
Social media has become a hotbed for spreading facts, false claims, and propaganda, especially since the Covid-19 pandemic. Graph Neural Networks (GNNs) are great at processing language, but detecting propaganda is tricky because of the complexity of text interactions and the need to understand cont
Abusive head trauma, a severe child abuse injury, is a major killer of young kids. Doctors often rely on basic patient info from Emergency Medical Services (EMS) to spot these cases. But what if there's more to the story? Artificial Intelligence (AI) and Large Language Models (LLM) can dig deeper in
You might think that big language models, like the ones powering AI doctors, can predict diseases as well as traditional classifiers. But hold on, let's dig into this! These AI doctors use something called next-word probability to make guesses. However, this isn't the same as the pre-test probabilit
Imagine this: even a tiny bit of wrong information in the training data of AI models can make a huge difference. A study from a university in New York set out to prove this. They used a popular database, The Pile, and focused on three medical areas – general medicine, neurosurgery, and medications.
As businesses keep adopting large language models (LLMs), one big hurdle is making these models smarter and less prone to making stuff up. A team from Meta AI has come up with a clever solution: scalable memory layers. These layers add more brainpower to LLMs without needing extra computing power. T
From 2016 to 2021, scientists studied Chile's air quality by using data from the National Air Quality Information System (SINCA). They focused on three cities: Quintero, Puchuncaví, and Coyhaique. The goal? To create models that can predict pollution levels like sulfur dioxide (SO2), tiny particles
Imagine you're trying to understand how things work together in a complex world, like how many friends you have influences your grades. This sounds like a puzzle best solved with statistics. Now, instead of just counting friends (that's like a two-dimensional problem), think of all the factors that
Protein language models, or PLMs, have been quite successful in understanding proteins. However, they struggle with antibodies, especially their hypervariable regions, which don't follow the usual evolutionary rules. Researchers have come up with a new method called Antibody Mutagenesis-Augmented Pr
