Artificial intelligence and machine learning empower advanced biomedical material design to toxicity prediction

AV Singh, D Rosenkranz, MHD Ansari… - Advanced Intelligent …, 2020 - Wiley Online Library
Materials at the nanoscale exhibit specific physicochemical interactions with their
environment. Therefore, evaluating their toxic potential is a primary requirement for …

Nanotheranostics for personalized medicine

S Mura, P Couvreur - Advanced drug delivery reviews, 2012 - Elsevier
The application of nanotechnology in the biomedical field, known as nanomedicine, has
gained much interest in the recent past, as versatile strategy for selective drug delivery and …

Detection of pathogenic bacteria via nanomaterials-modified aptasensors

S Sharifi, SZ Vahed, E Ahmadian, SM Dizaj… - Biosensors and …, 2020 - Elsevier
Detection and identification of special cells via aptamer-based nano-conjugates sensors
have been revolutionized over the past few years. These sensing platforms rely on selecting …

Merging data curation and machine learning to improve nanomedicines

C Chen, Z Yaari, E Apfelbaum, P Grodzinski… - Advanced drug delivery …, 2022 - Elsevier
Nanomedicine design is often a trial-and-error process, and the optimization of formulations
and in vivo properties requires tremendous benchwork. To expedite the nanomedicine …

Nanoparticles in the treatment and diagnosis of neurological disorders: untamed dragon with fire power to heal

JR Kanwar, X Sun, V Punj, B Sriramoju… - … , Biology and Medicine, 2012 - Elsevier
The incidence of neurological diseases of unknown etiology is increasing, including well-
studied diseases such as Alzhiemer's, Parkinson's, and multiple sclerosis. The blood-brain …

[HTML][HTML] Enhancing clinical translation of cancer using nanoinformatics

M Soltani, F Moradi Kashkooli, M Souri, S Zare Harofte… - Cancers, 2021 - mdpi.com
Simple Summary Two fields of artificial intelligence and nanomedicine are very effective
tools in moving towards the goal of personalized medicine. Combination of these fields, ie …

Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticles

D Fourches, D Pu, A Tropsha - Combinatorial Chemistry & High …, 2011 - ingentaconnect.com
Evaluation of desired and undesired, biological effects of Manufactured NanoParticles
(MNPs) is of critical importance for the future of nanotechnology. Experimental studies …

Nanoinformatics and nanotechnology in anti-inflammatory therapy: A review

AK Mishra, L Rani, R Singh, HK Dewangan… - Journal of Drug Delivery …, 2024 - Elsevier
A necessary immune response that promotes survival and preserves tissue homeostasis,
inflammation is a frequent characteristic of many disorders. In other circumstances, however …

[HTML][HTML] Nano-aptasensing in mycotoxin analysis: Recent updates and progress

A Rhouati, G Bulbul, U Latif, A Hayat, ZH Li, JL Marty - Toxins, 2017 - mdpi.com
Recent years have witnessed an overwhelming integration of nanomaterials in the
fabrication of biosensors. Nanomaterials have been incorporated with the objective to …

Development and analysis of machine-learning guided flash nanoprecipitation (FNP) for continuous chitosan nanoparticles production

H Wu, J He, H Cheng, L Yang, HJ Park, J Li - International Journal of …, 2022 - Elsevier
Chitosan-based nanoparticles (CNPs) are widely used in drug delivery, cosmetics
formulation and food applications. To accelerate the manufacturing of CNPs, the present …