Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as crucial to health. What's more, almost all genes occur as two copies—one ...

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and ...

A combined neural network and gray relational analysis framework identified optimal CO₂ laser cutting settings for PMMA, ...

A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

Predictive maintenance systems spot machine failures early by measuring how motors, pumps, fans and gearboxes vibrate and ...

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...