Imagine trying to teach a computer to understand medical images, but you don't have enough examples to show it. This is a big challenge in medical image segmentation, where computers try to identify specific parts of an image. One solution is semi-supervised learning, where the computer can learn fr
Imagine you're at a crime scene. You need quick and accurate results to solve the case. Portable sensors help, but they have their limits. Environmental factors can mess with their sensitivity and specificity. This is where data fusion (DF) comes in. DF combines information from multiple sensors to
Wearable sensors have become super popular in health and sports. They track our movements and activities, but there's a big problem. These sensors struggle to understand complex activities when they don't have enough examples to learn from. Imagine trying to teach a robot to dance without showing it
Osteoarthritis (OA) and metabolic syndrome (MetS) are both big problems that get worse as we age. But what's really going on inside our bodies that makes this happen? Scientists dug into public databases to find genes that change with age and might be linked to these conditions. They found 20 genes
Air pollution is a big deal. It affects our health and the environment. To keep track of it, we need good sensors. But these sensors can be expensive and not everywhere. So, cheaper sensors are used to fill in the gaps. But these cheaper sensors aren't always accurate. That's where AI and machine le
Sepsis is a sneaky and dangerous condition that happens when the body overreacts to an infection, causing organs to fail. The key to saving lives is catching it early. Blood tests can help spot changes before any symptoms appear. One interesting measure is called Monocyte Distribution Width, or MDW.
The soybean industry faces a significant threat from Phytophthora root and stem rot, causing massive financial losses globally. Researchers have developed a clever solution using a machine learning model. This model, based on a heterogeneous interaction graph attention network, was trained and teste
Childhood trauma can leave lasting scars on a person's mental health. These scars can show up in the form of complex post-traumatic stress disorder (CPTSD) symptoms. CPTSD symptoms can be debilitating and long-lasting. Researchers have found a strong link between these symptoms and childhood malt
Healthcare data is getting more complicated and interconnected. This makes it hard to use traditional methods. Graph-structured data is a good way to show these connections. It represents things and how they relate to each other. But, using this data well needs smart learning algorithms. Especially
Arthritis is a big deal in Malaysia, where people from different backgrounds live together. It's super important to make sure people with arthritis take their medicine as they should. If they don't, bad things can happen, like their condition getting worse or becoming disabled. This is a big problem
