The team used artificial intelligence (AI) to analyze data from electronic health records and large genetic studies of people with autoimmune disease to come up with a risk prediction score.

The National Heart Center Singapore (NHCS) announces a major advancement in cardiac care research with the implementation of ...

Some 10 million people in the U.S. have oral premalignant disease, a group of diseases that show up as red patches, white ...

A computer algorithm has achieved 98% accuracy in predicting different diseases by analyzing the color of the human tongue. The proposed imaging system developed ... used 5,260 images to train ...

Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction. Image Credit ... % accuracy and 95% precision. The system's sensitivity (recall) yielded ...

Using NASA and NOAA satellite images and artificial intelligence ... His team now wants to set up a similar pathogen-monitoring and disease-prediction system for pathogenic bacteria in the warm ...

The study found that, in the past few years, AI has become more accurate of identifying disease diagnosis in these images and has ... s artificial intelligence system discovered that the mutation ...

This finding emphasizes the importance of personalized and image-guided therapy for asthmatic patients. "We see now that patients have different thumbprints of disease, and this points to the need ...