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A new study looked at whether a self‑driving AI system can work with real‑world health records. The team used a platform that creates evidence for doctors and scientists. They aimed to test if this AI can give reliable numbers about disease spread. The platform pulled data from a massive claims database that covers every state in the U. S. Six illnesses were examined: ALS, a type of leukemia, bladder cancer, Huntington disease, high levels of a certain fat in blood, and Parkinson disease. By feeding the data into the AI, they produced estimates for how many people have each condition. The numbers were broken down by sex and by age groups, from kids up to seniors in their seventies. This lets experts see which groups are most affected. The study compared these results with other AI models

A recent study looked at how checking blood sugar levels at home affects long-term health for people with type 2 diabetes or prediabetes. The main issue? Many adults struggle to keep their blood sugar in a safe range. In fact, nearly half of all U. S. adults with diabetes have high levels of a key marker called HbA1c, which shows average blood sugar over time. Researchers wanted to know if checking blood sugar more often could help lower that marker. They studied 1,436 adults who joined a remote monitoring program run by Unika Health between 2019 and 2024. This program used special glucose meters that connect to phones, a mobile app, lifestyle coaching, and support from doctors across 74 clinics. The team measured how often people checked their blood sugar each week during their first six

Esports athletes deal with mental pressures that match those of traditional athletes, yet dedicated tools for their well‑being are hard to find. To close this gap, a team created "MindAthlete", a mobile health app built around the needs of gamers. The app was designed to be intuitive and accessible during long gaming sessions. The project unfolded in three phases over five months. First, seven experienced sports psychologists were recruited through snowball sampling and met online via Google Meet. They talked about how athletes currently track mental health and what features the app should include. Researchers also noted common barriers like stigma and limited awareness among players. The conversation notes were examined using Mayring’s qualitative content analysis. Next, a 32‑screen hig

Scientists are teaching computers how to design new medicines from scratch. The challenge? Making sure these digital molecules actually work in the real world. Most AI tools today focus on the tiny details of atoms and shapes. But they miss the bigger picture. Things like how a molecule behaves in the body or whether it will stick to a disease protein. That’s where a new approach comes in. A team of researchers created a smarter AI system. It uses a large language model, kind of like a supercharged text predictor, to guide the creation of 3D molecules. Instead of just looking at atoms, it learns high-level patterns from how drugs are built. Think of it as teaching the AI the rules of medicinal chemistry, not just the math. The system works in stages. First, it builds a rough 3D shape gui

Food choices don't happen in a vacuum. They are shaped by a mix of personal habits, social surroundings, and bigger system rules. A new study looked at this across 27 European countries to see what helps or hurts healthier, more sustainable eating. The research is part of the FEAST project, which focuses on food systems that support better diets and planet-friendly habits. The team wanted to understand how factors at different levels influence what people eat, buy, and prefer. These levels include personal beliefs, community norms, and national policies. They surveyed 27,000 adults across five major European food regions: Anglo-Saxon, Central European, Scandinavian, Southern European, and Eastern European. The goal was to spot patterns and differences between regions and groups. Special

Smart shoes and insoles can do a lot. They watch how you walk. They help with rehab. They spot fall risks. Athletes use them to improve form. Some even unlock devices with your gait. These gadgets are part of a bigger medical internet. But they are not like lab equipment. They live on your feet. That means they get crushed, sweaty, and hot. Batteries die fast. Wireless signals struggle near the ground. Keeping them working for months is tough. Researchers looked at hundreds of studies. They built a map of how these devices differ. Shape matters. Some strap on. Some sit inside socks. Sensors measure pressure, motion, temperature. Timing between left and right foot must be precise. Data can process on the shoe or send to a phone. Testing happens in labs, clinics, or real streets. Three hidd

After a kidney transplant, taking medicines as directed can be tough. Many patients skip doses or forget self‑care steps. Mobile apps could help, but it’s not clear how good they are or what they cover. Researchers wanted to see what free apps exist in South Korea that aim to support transplant patients. They measured each app’s quality with the Mobile App Rating Scale and checked how many features each offered using the IMS functionality score. The team looked at the Apple Store and Google Play from January 13 to 21, 2026. They used six search terms like kidney transplant and kidney graft. Only six apps matched the rules. Two nursing professors rated every app separately. The ratings showed strong agreement—MARS had an ICC of 0. 71 and the IMS score had a Cohen κ of 0. 88. The average MARS

Researchers note that brain connectivity maps help spot neurological problems. Yet many current models rely on assumptions that can be wrong. Some assume connections are linear. Others ignore other regions when studying cause and effect. These shortcuts can lead to inaccurate diagnoses. The team created a new modelling approach that treats interactions as causal. The method looks at all brain areas together, not just pairs. It uses a generative adversarial network that preserves causal relationships. This design aims to give a more realistic picture of how brain regions talk to each other. The researchers tested the technique on open data sets. Results show it outperforms older methods when detecting dementia. It also uncovered several fresh biomarkers that could guide future studies. Th

Poverty remains a key concern for the EU, even as the overall trend moves downward. People in many countries still face daily hardships. The research began by picking ten social and economic signs that together paint a picture of poverty. It then used a reliability test to decide which signs actually mattered. Six signs survived the test and were fed into statistical tools. Data came from the Eurostat database. The team applied correlation checks, component analysis, and grouping methods to spot patterns. They examined three periods: 2015‑2019, the special 2020 year, and 2021‑2023. Across all periods, poverty fell in most places. But the drop was not even. Bulgaria, Greece, Romania and Latvia formed the hardest‑hit group in the latest years. Northern and western EU nations showed smoothe