Nanotechnology and artificial intelligence to enable sustainable and precision agriculture

P Zhang, Z Guo, S Ullah, G Melagraki, A Afantitis… - Nature Plants, 2021 - nature.com
Climate change, increasing populations, competing demands on land for production of
biofuels and declining soil quality are challenging global food security. Finding sustainable …

Where is nano today and where is it headed? A review of nanomedicine and the dilemma of nanotoxicology

C Domingues, A Santos, C Alvarez-Lorenzo… - ACS …, 2022 - ACS Publications
Worldwide nanotechnology development and application have fueled many scientific
advances, but technophilic expectations and technophobic demands must be …

Nanoparticle toxicology

W Yang, L Wang, EM Mettenbrink… - Annual Review of …, 2021 - annualreviews.org
Nanoparticles from natural and anthropogenic sources are abundant in the environment,
thus human exposure to nanoparticles is inevitable. Due to this constant exposure, it is …

Computational pharmaceutics-A new paradigm of drug delivery

W Wang, Z Ye, H Gao, D Ouyang - Journal of Controlled Release, 2021 - Elsevier
In recent decades pharmaceutics and drug delivery have become increasingly critical in the
pharmaceutical industry due to longer time, higher cost, and less productivity of new …

Harmonization risks and rewards: nano-QSAR for agricultural nanomaterials

AV Singh, A Shelar, M Rai, P Laux… - Journal of agricultural …, 2024 - ACS Publications
This comprehensive review explores the emerging landscape of Nano-QSAR (quantitative
structure–activity relationship) for assessing the risk and potency of nanomaterials in …

Glyphosate separating and sensing for precision agriculture and environmental protection in the era of smart materials

J Mazuryk, K Klepacka, W Kutner… - … Science & Technology, 2023 - ACS Publications
The present article critically and comprehensively reviews the most recent reports on smart
sensors for determining glyphosate (GLP), an active agent of GLP-based herbicides (GBHs) …

Predicting blood–brain barrier permeability of molecules with a large language model and machine learning

ETC Huang, JS Yang, KYK Liao, WCW Tseng… - Scientific Reports, 2024 - nature.com
Predicting the blood–brain barrier (BBB) permeability of small-molecule compounds using a
novel artificial intelligence platform is necessary for drug discovery. Machine learning and a …

Surface functionalization of graphene‐based materials: Biological behavior, toxicology, and safe‐by‐design aspects

Z Guo, S Chakraborty, FA Monikh, DD Varsou… - Advanced …, 2021 - Wiley Online Library
The increasing exploitation of graphene‐based materials (GBMs) is driven by their unique
properties and structures, which ignite the imagination of scientists and engineers. At the …

Role of artificial intelligence and machine learning in nanosafety

DA Winkler - Small, 2020 - Wiley Online Library
Robotics and automation provide potentially paradigm shifting improvements in the way
materials are synthesized and characterized, generating large, complex data sets that are …

[HTML][HTML] Nano-QSAR modeling for predicting the cytotoxicity of metallic and metal oxide nanoparticles: A review

J Li, C Wang, L Yue, F Chen, X Cao, Z Wang - … and Environmental Safety, 2022 - Elsevier
Given the rapid development of nanotechnology, it is crucial to understand the effects of
nanoparticles on living organisms. However, it is laborious to perform toxicological tests on a …