Biocompatible and bioactivable terpolymer-lipid-MnO2 Nanoparticle-based MRI contrast agent for improving tumor detection and delineation

Yen, Tin-Yo C.; Abbasi, Azhar Z.; He, Chungsheng; Lip, Ho-Yin; Park, Elliya; Amini, Mohammad A.; Adissu, Hibret A.; Foltz, Warren; Rauth, Andrew M.; Henderson, Jeffrey; Wu, Xiao Yu

doi:10.1016/j.mtbio.2024.100954

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Cited by 3 publications

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Targeting DNA damage repair mechanism by using RAD50-silencing siRNA nanoparticles to enhance radiotherapy in triple negative breast cancer

Zetrini,

Abbasi,

et al. 2024

Materials Today Bio

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Targeting DNA damage repair mechanism by using RAD50-silencing siRNA nanoparticles to enhance radiotherapy in triple negative breast cancer

Zetrini,

Abbasi,

et al. 2024

Materials Today Bio

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Evaluation of the biodistribution and preliminary safety profile of a novel brain-targeted manganese dioxide-based nanotheranostic system for Alzheimer’s disease

Li,

Park,

et al. 2024

Nanotoxicology

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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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Biocompatible and bioactivable terpolymer-lipid-MnO2 Nanoparticle-based MRI contrast agent for improving tumor detection and delineation

Cited by 3 publications

References 74 publications

Targeting DNA damage repair mechanism by using RAD50-silencing siRNA nanoparticles to enhance radiotherapy in triple negative breast cancer

Targeting DNA damage repair mechanism by using RAD50-silencing siRNA nanoparticles to enhance radiotherapy in triple negative breast cancer

Evaluation of the biodistribution and preliminary safety profile of a novel brain-targeted manganese dioxide-based nanotheranostic system for Alzheimer’s disease

AI in Predictive Toxicology

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