Assessment of antibacterial activity and cytotoxic effects of in vitro and in vivo plant parts of a medicinal plant Gynura procumbens (Lour.) Merr.

Saha, Sanchita; Al Amin, G M; Khan, Md Salim; Goswami, Barna; Afroz, Farhana; Habib, Md Ahashan; Akter, Shahina; Banu, Tanjina Akhtar

doi:10.1016/j.heliyon.2023.e22954

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2024

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Cited by 2 publications

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Template free synthesis of CuO nanoflakes and walnut shape CuO/CeO2 heterostructures: characterization and their role as an antibacterial materials and biofilm inhibitors

Javed,

Ren,

Kousar

et al. 2024

J Sol-Gel Sci Technol

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Template free synthesis of CuO nanoflakes and walnut shape CuO/CeO2 heterostructures: characterization and their role as an antibacterial materials and biofilm inhibitors

Javed,

Ren,

Kousar

et al. 2024

J Sol-Gel Sci Technol

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AI in Predictive Toxicology

Yingngam

2024

Advances in Medical Technologies and Clinical Practice

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The field of toxicology is undergoing a significant transformation due to the integration of artificial intelligence (AI). In addition to traditional reliance on empirical studies and animal testing, AI-powered predictive toxicology is now used to predict the toxic effects of chemicals and drugs. This chapter examines the role of AI in enhancing the accuracy, efficiency, and breadth of toxicological assessments by bridging the gap between traditional approaches and advanced AI techniques. It explores various AI methodologies, such as machine learning, deep learning, and neural networks, focusing on their application in toxicity prediction. Furthermore, this chapter investigates the integration of AI with toxicological databases and the development and empirical validation of predictive models. It also addresses various challenges associated with AI-powered toxicology, including data quality, model interpretability, and scalability. The chapter concludes that despite facing challenges, AI is a powerful tool in modern toxicological analysis.

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Assessment of antibacterial activity and cytotoxic effects of in vitro and in vivo plant parts of a medicinal plant Gynura procumbens (Lour.) Merr.

Cited by 2 publications

References 34 publications

Template free synthesis of CuO nanoflakes and walnut shape CuO/CeO2 heterostructures: characterization and their role as an antibacterial materials and biofilm inhibitors

Template free synthesis of CuO nanoflakes and walnut shape CuO/CeO2 heterostructures: characterization and their role as an antibacterial materials and biofilm inhibitors

AI in Predictive Toxicology

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