Neural Network-Based Phenotyping and Phytochemical Profiling of Psidium Guajava
Abstract
Psidium guajava is a medicinal plant that has wide pharmacological uses throughout the world. Herbaria drug development has challenges like variability, no standardization, and slow rate discovery despite good evidence in the laboratory. To broaden the traditional pharmacological review, the paper incorporates the artificial intelligence- grounded methodologies such as machine learning, deep learning, and in silico modeling. The suggested AI framework will allow conducting predictive bioactivity screening, smart quality control, and modeling drug delivery optimization, computation intelligence and healthcare engineering.
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Evidence Hub reads this as a review, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
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