AIMC Topic: Drug Delivery Systems

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Establishing the Controlled Delivery of VEGF Using a Hydrogel Loaded Soft Robotic Drug Delivery System With the Aim to Prevascularise Implant Site for Islet Transplantation: Erratum.

Transplantation Nov 22, 2022
Drug Delivery Systems Vascular Endothelial Growth Factor A Robotics Islets of Langerhans Transplantation Hydrogels
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Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method.

Computers in biology and medicine Nov 8, 2022
Drug targets must be identified and positioned correctly to research and manufacture new drugs. In this study, rather than using traditional methods for drug expansion, the drug target is determined using machine learning. Machine learning has genera...
Neural Networks, Computer Amino Acids Amino Acid Sequence Drug Delivery Systems Machine Learning
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GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.

BMC bioinformatics Sep 7, 2022
BACKGROUND: Accurately predicting drug-target binding affinity (DTA) in silico plays an important role in drug discovery. Most of the computational methods developed for predicting DTA use machine learning models, especially deep neural networks, and...
Neural Networks, Computer Proteins Drug Delivery Systems Drug Discovery Machine Learning
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On-demand anchoring of wireless soft miniature robots on soft surfaces.

Proceedings of the National Academy of Sciences of the United States of America Aug 15, 2022
Untethered soft miniature robots capable of accessing hard-to-reach regions can enable new, disruptive, and minimally invasive medical procedures. However, once the control input is removed, these robots easily move from their target location because...
Motion Robotics Drug Delivery Systems
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Nanobots-based advancement in targeted drug delivery and imaging: An update.

Journal of controlled release : official journal of the Controlled Release Society Jul 8, 2022
Manipulation and targeted navigation of nanobots in complex biological conditions can be achieved by chemical reactions, by applying external forces, and via motile cells. Several studies have applied fuel-based and fuel-free propulsion mechanisms fo...
Robotics Nanostructures Drug Delivery Systems
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Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features.

Biosensors Jul 6, 2022
Microneedles (MNs) introduced a novel injection alternative to conventional needles, offering a decreased administration pain and phobia along with more efficient transdermal and intradermal drug delivery/sample collecting. 3D printing methods have e...
Administration, Cutaneous Printing, Three-Dimensional Needles Machine Learning Drug Delivery Systems Artificial Intelligence
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How physical techniques improve the transdermal permeation of therapeutics: A review.

Medicine Jul 1, 2022
BACKGROUND: Transdermal delivery is very important in pharmaceutics. However, the barrier function of the stratum corneum hinders drugs absorption. How to improve transdermal delivery efficiency is a hot topic. The key advantages of physical technolo...
Pharmaceutical Preparations Iontophoresis Administration, Cutaneous Drug Delivery Systems Skin Artificial Intelligence Humans
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Formulation design and optimization of cationic-charged liposomes of brimonidine tartrate for effective ocular drug delivery by design of experiment (DoE) approach.

Drug development and industrial pharmacy May 19, 2022
OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cationic-charged liposome formulation with enhanced trans-corneal drug permeation, prolonged corneal residence, and sustained drug release for effective o...
Liposomes Lipids Brimonidine Tartrate Drug Liberation Drug Carriers Cornea Drug Delivery Systems Particle Size
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Advances in Designer DNA Nanorobots Enabling Programmable Functions.

Chembiochem : a European journal of chemical biology May 16, 2022
The advent of DNA nanotechnology has paved the way for the development of nanoscale robotics capable of executing smart and sophisticated tasks in a programmed and automatic manner. The programmability and customizable functionality of designer DNA n...
Pharmaceutical Preparations DNA Nanotechnology Nanostructures Drug Delivery Systems Robotics
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SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning.

International journal of molecular sciences Mar 29, 2022
Identifying compound-protein (drug-target, DTI) interactions (CPI) accurately is a key step in drug discovery. Including virtual screening and drug reuse, it can significantly reduce the time it takes to identify drug candidates and provide patients ...
Proteins Humans Drug Discovery Deep Learning Drug Delivery Systems Neural Networks, Computer
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