Objective: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an AI algorithm that can effectively classify colonic biopsies into normal versus abnormal categories, designed to automatically report normal cases. We performed a retrospective pathological and clinical review of the errors made by IGUANA.
View Article and Find Full Text PDFThis study investigates the biodegradation of methyl parathion, an organophosphate pesticide used in paddy fields. Microbial degradation transforms toxic pesticides into less harmful compounds, influenced by the microbial community in the soil. To isolate different microbial colonies, soil samples from an organophosphorus-treated groundnut field were plated on nutrient agar and MSM with 1% glucose and 0.
View Article and Find Full Text PDFBackground: Trace elements are the important components that play a crucial role in various functions of the human body at cellular and molecular levels. Considering the role of the trace elements in precancerous and cancerous conditions, estimation of their levels in these conditions could aid in understanding the disease process and progression. The purpose of this study is to determine the alteration in salivary electrolyte concentration of oral potentially malignant disorders (OPMD) and oral squamous cell carcinoma (OSCC) patients to correlate the variations with the severity and biological behaviour.
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