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Review Open access Oct 2026

Artificial intelligence methods for morphological analysis and diagnosis of bacterial and fungal leaf diseases

The findings indicate that deep learning dominates the literature, particularly in fungal disease detection, whereas research on bacterial diseases and generative AI applications remains comparatively limited.

Ruchita R. Patil, Annamalai Muthusamy, S. V · 0 citations
Open access Sep 2026

Explainable AI-based breath metabolite profiling for early lung cancer detection.

Lung cancer (LC) is a major cause of cancer-related mortality and current screening methods are invasive, costly or radiation-intensive. This study aims to develop a machine-learning-framework using electronic nose (E-nose) sensor data and demographic variables to classify LC in a cohort of 118 participants (65 LC, 53...

Varsha Ghatage, S. V, Chiranjit Ghosh et al. · 0 citations

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