首页|Mazandaran University of Medical Sciences Researchers Discuss Findings in Artifi cial Intelligence (The Future and Application of Artificial Intelligence in Toxi cology)
Mazandaran University of Medical Sciences Researchers Discuss Findings in Artifi cial Intelligence (The Future and Application of Artificial Intelligence in Toxi cology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from Sari, Iran, by N ewsRx correspondents, research stated, “Toxicology is a critical field that is o f significant importance to various industries, including pharmaceuticals, envir onmental protection, and consumer product safety. It’s a multidisciplinary scien ce that often involves time-consuming and expensive toxicity tests, which can de lay the development of new products and pose significant risks to public health and the environment.” Our news journalists obtained a quote from the research from Mazandaran Universi ty of Medical Sciences: “Therefore, there is an ever-growing demand for faster a nd more efficient toxicity evaluations. Artificial Intelligence (AI) has emerged as a promising solution to address these pressing challenges. By enabling the d evelopment of machine learning models that can analyze vast amounts of data. Thi s review article focuses on the potential impact of AI in toxicology and its app lications in different areas, such as predictive toxicology, development of toxi city screening assays, assessment of chemical mixtures, interpretation of toxico logical data, and forensic toxicology. This review was done a comprehensive lite rature search across multiple scientific databases. Searches were conducted in M edline/PubMed, Google Scholar and Web of Science to identify relevant publicatio ns. The search terms used included combinations of ‘artificial intelligence’, ‘t oxicology’, ‘toxicity’, and related keywords. The final set of articles selected provided a comprehensive overview of the current state of research on the appli cations of AI techniques in toxicology and chemical risk assessment. The review highlighted a growing body of research exploring the potential role of AI in acc elerating and enhancing various aspects of toxicity assessment and chemical risk evaluation. The reviewed studies demonstrate how AI models can be trained on la rge datasets of chemical structures, in vitro assay results, and toxicological o utcomes to predict the toxicity of novel compounds and other fields such as fore nsic toxicology. On the other hand, legal and ethical aspects of using AI was in vestigated.”
Mazandaran University of Medical Science sSariIranAsiaArtificial IntelligenceEmerging TechnologiesMachine Lea rning
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