A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

In a development that could transform how scientists study cancer, neurodegeneration and inflammation, researchers have invented a new sensor that enables MRI machines to visualize molecular activity ...

MIT created "periodic table" for ML, organizing 20 algorithms by mathematical similarities which discovered of a new image-classification algorithm by 8%.

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

Abstract: Electromyography (EMG) plays a crucial role in the medical sector for assessing muscular health and diagnosing related ailments. With a growing global demand for EMG equipment and its ...

A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

Abstract: Coronary artery disease continues to lead the world in the statistics of both disability and death in everyday life, which puts an enormous emphasis on a necessitated sequence of procedures ...