Deep learning is making waves in the world of vaccine development. It's all about predicting how our immune system will react to foreign invaders. Scientists have been working on this for a while, but it's been a bit hit or miss. Enter MUNIS, a new deep learning model that's changing the game. T
Imagine if scientists could teach computers to understand our brain waves better. This is exactly what some researchers are trying to do. They are using a technique called deep learning to analyze something called functional brain networks (FBNs). These networks are like maps that show how different
Deep learning is a powerful tool, but it needs the right data to be effective. In the world of gas cylinders, this is especially true. Imagine trying to spot a gas cylinder in a crowded warehouse or industrial site. It's not as easy as it sounds. That's why a new dataset, called CylinDeRS, was creat
Deep learning is making waves in predicting how long heart procedures take. Researchers focused on using video analysis to figure out the different stages of procedures in a cath lab. They found that certain deep learning models, like InceptionTime and LSTM-FCN, were the best at guessing when a proc
Imagine trying to guess someone's age just by looking at their teeth. Sounds tricky, right? Well, that's exactly what researchers did with 1, 169 Turkish kids. They used four different methods to estimate the ages of these children. The first method was the Willems method. This is a popular way
Imagine trying to find a tiny speck of dust in a crowded room. That's similar to what doctors face when looking for small tumors in brain scans. Usually, they use a double dose of a special dye to make tumors stand out more clearly. But, this dye has some drawbacks. It can be harmful to patients and
'Breast cancer research is always working to improve. Researchers have come up with a cutting edge system. Simulations using polarized Monte Carlo methods enhance the clarity of tissue structures. ' 'Experiments run aimed at detecting tumours at the edges where you'd guess thick slices of the tissu
Imagine trying to predict pollution levels with a neural network. You'd think it would be accurate, wouldn't you? Well, not so fast. One big challenge is that data from different years or places can be very different. This is known as data drifting. For example, the temperatures in a city can change
The World Natural Heritage sites are some of the most stunning places on Earth. They are all unique and cannot be replaced. They have a special look to them and are often visited by tourists. These locations stand out, and one of the most beautiful sites are the karst or limestone landscapes. Locat
Imagine if doctors could use smart technology to predict how well a patient would respond to breast cancer treatment. That's exactly what a recent study explored. The focus was on something called Human Epidermal Growth Factor 2, or HER2, which plays a big role in how breast cancer behaves and how i
