In China, the rush to cities has created a massive group of people without local residence, totaling 276 million by 2020. That's over 20% of the country's population! This group plays a key role in boosting urban economies and optimizing resources. However, their health is at risk due to job hazards
Rituximab, a drug being tested for its potential in treating systemic sclerosis-associated interstitial lung disease (SSc-ILD), doesn't have the same effect on every patient. Scientists looked into why this is by examining data from the DESIRES trial and using machine learning. They found that the s
Wearable devices are now common in healthcare, but their smart algorithms can be hard to understand. Think of it like a magic box – you know something happens inside, but you can't see it working. These "black box" systems use complex math to help us, but the mystery behind them can be scary. That's
As the world grapples with an energy crisis, predicting solar radiation (SR) accurately has become crucial for harnessing renewable energy. Machine Learning (ML) models have stepped up to tackle this challenge with impressive results. One such model, called the Cheetah Optimizer-Random Forest (CO-RF
Ever wondered what it would be like to watch a machine work through problems, just like a friend would? Google's DeepMind has created a new AI, Gemini 2. 0 Flash Thinking, that lets you do just that. Although it doesn't think like humans, it can break down complex issues into smaller parts, similar
Imagine trying to diagnose sleep apnea, a common sleep disorder, without spending hours hooked up to machines. That's what researchers are aiming for with a new approach that combines machine learning, simple questionnaires, and a device that monitors your oxygen levels. The traditional method, call
Growing up on a farm in rural China, one person never imagined they'd enter the tech world. Life was simple but tough. There were two ways out of the village: study hard and gain entry to university, or stay and follow the family farming tradition. This choice drove an unyielding work ethic and curi
Predicting maize yields is tricky, especially with elite hybrids like ZhengDan 958. Machine learning has been a game-changer, with Random Forest (RF) as a popular tool for its data handling and non-linear relationship discovery. However, new methods are needed due to the complexity of management pra
You probably know that continuous renal replacement therapy (CRRT) is a big deal for kids in the ICU with kidney troubles. But guess what? Figuring out how they'll do after starting CRRT is like trying to predict the weather in a place you've never been before. That's because there are so many diffe
Have you ever thought about how some types of asthma are caused by work? Scientists recently studied this by looking at different patterns, or phenotypes, of asthma that are related to work. They used a method called cluster analysis and turned to the help of machines, a field known as machine learn
