This artificial intelligence–derived and validated machine-learning system appeared to predict the risk of Hirschsprung disease with the use of genetic and demographic data from participants in China.

In late 2021, Amber Salzman interviewed for a job that she had no intention of taking. A relatively new start-up company, called Epicrispr Biotechnologies, was looking for a chief executive, and it ...

Share on Pinterest A first-of-its-kind AI tool was cleared by the FDA to detect underlying structural heart disease before symptoms present. ljubaphoto/Getty Images The FDA cleared the first ...

A 20-year study of more than 3,000 Greek adults found that people whose diets most closely resembled a plant-based Mediterranean eating pattern had substantially lower cardiovascular disease risk, ...

Nothing quite compares to the flavor of a homegrown, vine-ripened tomato, but producing these tasty fruits comes with certain challenges. Tomatoes are susceptible to numerous diseases and ...

Check soil moisture regularly to prevent drought stress and revive wilting plants. Diseases like fungal or bacterial wilts can disrupt water flow and damage plants. Tomato plants wilt due to ...

Abstract: The research investigates the ability of convolutional neural networks (CNNs) to perform automatic pear leaf disease detection for Kyrgyz Republic orchards. The farmers who work in this area ...

Abstract: Fast and accurate plant disease detection is essential for agricultural production and ecologically sustainable farming. The research paper defines GACN, a Geospatial data and AI-powered ...