Figuring out if texts are positive or negative, called sentiment analysis, is super useful in lots of fields. While machines can now do this super fast and accurately, lexicon-based methods have their own perks. They might not be as perfect as machine learning or big language models, but they can wo
Imagine you're preparing for an Oracle SQL certification exam. The questions you face might contain code snippets, making them tricky to classify. This study takes a closer look at designing automatic classifiers for such questions. Why is this important? Classifying questions helps in creating a r
Let's talk about postnatal care for a moment. This is the crucial support mothers and their newborns need right after birth and for the next six weeks. It's a critical time when many deaths happen. In some countries, about 40% of women missed out on important postpartum check-ups. So, how can we use
Imagine you're a doctor. You need to know if a patient's cough or sneeze is just a passing thing or a sign of something bigger. That's where machine learning comes in. Researchers created an automatic system to spot sneezes and coughs, sounds that can hint at respiratory problems. The goal? Early di
Scientists often use stem cells to make artificial bones, but making sure these cells develop properly can be tricky. They've tried using omics technologies, like metabolomics, to check their quality. In a recent study, researchers combined metabolomics with machine learning to see if it could tell
Researchers have come up with a smart new way to figure out how much coastal cliffs are eroding. They combined data from drones, satellites, and laser measurements to see how bad the erosion is. This method helps us understand both natural wear and tear on cliffs and damage to protective structures
Follicular lymphoma (FL) can be a tricky disease. Sometimes, it worsens quickly, within just two years. This is called progression of disease within 24 months (POD24), and it can really affect how long patients live. A group of researchers from China decided to tackle this problem. They wanted to fi
Immuno-oncology drugs, like immune checkpoint inhibitors (ICIs), have shown potential in treating various cancers. For advanced non-small cell lung cancer (NSCLC) patients with PD-L1 expression of 50% or higher, single-drug ICI therapy that targets PD-L1 is the standard treatment. But can machine le
Healthcare fraud is a massive problem worldwide, sucking up billions of dollars each year. Experts have taken up the challenge using machine learning. They started by cleaning and preparing massive amounts of data for analysis. Next, they experimented with various models, picking the best ones for t
These days, biomedical research and healthcare are getting a major boost from digital health technology (DHT). New tech, clever uses of old tech with AI and machine learning, and better data integration are making DHTs super useful. But how well are these tools being funded? A study dived into the N
