Plant pests and diseases are responsible for major global crop losses, posing serious threats to food security and sustainable agriculture. Traditional ...

Recent advances in deep learning have transformed plant pathology by enabling rapid, accurate detection and classification of plant diseases. Convolutional neural networks (CNNs), enhanced by ...

Deep learning using routine lab data showed promise in distinguishing candidemia from bacteremia but fell short of outperforming established biomarkers.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.