About this Research Topic
Background
Nanotechnology has revolutionized various industries, from electronics to medicine, by harnessing unique properties exhibited by nanomaterials. However, with their increased application, concerns have arisen regarding the potential adverse effects of nanoparticles on human health and the environment. Nanotoxicology, a burgeoning field, focuses on understanding the toxicity mechanisms of nanomaterials and their intercellular interactions. The transfer of nanoparticles between cells and their impact on cellular functions is an area of critical importance. As we delve deeper into the complex interplay between nanomaterials and biological systems, novel insights into toxicity pathways are being uncovered.
Goal
The overarching goal of this Research Topic is to provide a comprehensive platform for researchers in the fields of nanotoxicology, AI, and advanced modelling to collaboratively investigate the intricate intercellular transfer mechanisms of nanoparticles. By merging expertise in diverse domains, we aim to elucidate the underlying problems associated with nanotoxicity, foster innovative approaches, and propose strategies for risk assessment and mitigation.
Scope and Details for Authors: This Research Topic invites contributions spanning a wide spectrum, including but not limited to:
1. AI-Driven Nanotoxicity Prediction: Present innovative applications of artificial intelligence and machine learning in predicting nanotoxicity, including quantitative structure-activity relationships (QSAR) models.
2. In Silico Modelling of Nanoparticle Interactions: Explore computational simulations and molecular dynamics studies to unravel the interactions between nanomaterials and biological molecules.
3. Intercellular Transport Mechanisms: Investigate the routes of intercellular transfer of nanoparticles, such as endocytosis, exocytosis, and cell-cell communication pathways.
4. Micro-Nanorobotics in Toxicology: Examine the role of micro-nanorobots in studying nanotoxicity, targeted drug delivery, and real-time monitoring of cellular responses.
5. Materials Engineering for Safer Nanomaterials: Showcase advancements in designing nanomaterials with reduced toxicity, improved biocompatibility, and controlled cellular interactions.
Authors are encouraged to submit original research articles, reviews, methodologies, and perspectives that contribute to unravelling the complex interactions at the interface of nanotoxicology, intercellular transfer, and AI-driven modelling.
Nanotechnology has revolutionized various industries, from electronics to medicine, by harnessing unique properties exhibited by nanomaterials. However, with their increased application, concerns have arisen regarding the potential adverse effects of nanoparticles on human health and the environment. Nanotoxicology, a burgeoning field, focuses on understanding the toxicity mechanisms of nanomaterials and their intercellular interactions. The transfer of nanoparticles between cells and their impact on cellular functions is an area of critical importance. As we delve deeper into the complex interplay between nanomaterials and biological systems, novel insights into toxicity pathways are being uncovered.
Goal
The overarching goal of this Research Topic is to provide a comprehensive platform for researchers in the fields of nanotoxicology, AI, and advanced modelling to collaboratively investigate the intricate intercellular transfer mechanisms of nanoparticles. By merging expertise in diverse domains, we aim to elucidate the underlying problems associated with nanotoxicity, foster innovative approaches, and propose strategies for risk assessment and mitigation.
Scope and Details for Authors: This Research Topic invites contributions spanning a wide spectrum, including but not limited to:
1. AI-Driven Nanotoxicity Prediction: Present innovative applications of artificial intelligence and machine learning in predicting nanotoxicity, including quantitative structure-activity relationships (QSAR) models.
2. In Silico Modelling of Nanoparticle Interactions: Explore computational simulations and molecular dynamics studies to unravel the interactions between nanomaterials and biological molecules.
3. Intercellular Transport Mechanisms: Investigate the routes of intercellular transfer of nanoparticles, such as endocytosis, exocytosis, and cell-cell communication pathways.
4. Micro-Nanorobotics in Toxicology: Examine the role of micro-nanorobots in studying nanotoxicity, targeted drug delivery, and real-time monitoring of cellular responses.
5. Materials Engineering for Safer Nanomaterials: Showcase advancements in designing nanomaterials with reduced toxicity, improved biocompatibility, and controlled cellular interactions.
Authors are encouraged to submit original research articles, reviews, methodologies, and perspectives that contribute to unravelling the complex interactions at the interface of nanotoxicology, intercellular transfer, and AI-driven modelling.
Keywords: Nanotoxicology, Intercellular Transfer, Artificial Intelligence, QSAR, In Silico Modelling, Micro-Nanorobotics, Materials Engineering, Nanomaterials Risk Assessment, Biocompatibility
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
