Analyzing Hepatotoxicity of Marine Venoms Using Artificial Intelligence: An Ecoinformatics Perspective

Marine toxins present considerable challenges to public health due to their intricate biochemical profiles that complicate effectual analysis. In addressing this, our study utilizes a pioneering Ecoinformatics method, employing artificial intelligence to meticulously examine the hepatotoxic effects of stonefish venom on murine models. The convergence of biochemical assays, histopathological scrutiny, and cutting-edge machine learning algorithms is strategically designed to unravel the complex modalities of venom-induced toxicity. Our findings offer unprecedented insight into the hepatotoxic dynamics of marine venoms, underscoring the utility of AI in advancing marine toxin research. This multifaceted research not only deepens our comprehension of venom pathology but also forges a pathway toward enhanced antivenom solutions, thereby reinforcing public health measures in marine and coastal ecosystems.