One tiny patch could bring hospital-style heart checks into homes

A lightweight wearable device developed by UNSW engineers could one day help people monitor their heart and breathing health ...

Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

Wearable device can continuously monitor blood pressure without the pesky cuffs

Blood pressure is a key metric of cardiovascular health, but standard methods for measuring it rely on occasional readings ...
Tech Xplore

Machine learning predicts wind shear 15 seconds ahead with less than 5% error

Wind shear, a sudden change in wind speed or direction, is a major cause of aviation incidents; it was responsible for 18% of ...
News-Medical.Net

AI turns everyday smartphone use into passive heart-rate tracking

Researchers developed Passive Heart-Rate Monitoring, a deep-learning smartphone system that estimates heart rate and daily ...
The Economist

New techniques can predict and prevent lung cancer

Although cancer treatments are improving fast, prevention has so far been mostly about promoting a healthy lifestyle. But ...
IEEE

Disease Detection in Grape Cultivation Using Strategically Placed Cameras and Machine Learning Algorithms With a Focus on Powdery Mildew and Blotches

Abstract: Grape cultivation faces various challenges, such as pests, management, fertilizer quality, and diseases caused by bacteria, fungi, and viruses. Notably, powdery mildew and blotches are ...
IEEE

Heart Attack Risk Prediction Using Advanced Machine Learning Techniques

Abstract: Addressing the urgent global health challenge of cardiovascular diseases, particularly heart attacks, this research paper explores proactive healthcare solutions driven by effective ...