AIMC Topic: Drug Delivery Systems

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Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning.

BMC bioinformatics Apr 20, 2024
BACKGROUND: Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target. Although there are a few online ...
Drug Interactions Deep Learning Binding Sites Drug Evaluation, Preclinical Drug Delivery Systems
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The drug loading capacity prediction and cytotoxicity analysis of metal-organic frameworks using stacking algorithms of machine learning.

International journal of pharmaceutics Apr 15, 2024
Metal-organic frameworks (MOFs) have shown excellent performance in the field of drug delivery. Despite the synthesis of a vast array of MOFs exceeding 100,000 varieties, certain formulations have exhibited suboptimal performance characteristics. The...
Machine Learning Algorithms Humans Drug Carriers Metal-Organic Frameworks Cell Survival Drug Delivery Systems
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Advancements in microneedle fabrication techniques: artificial intelligence assisted 3D-printing technology.

Drug delivery and translational research Jan 13, 2024
Microneedles (MNs) are micron-scale needles that are a painless alternative to injections for delivering drugs through the skin. MNs find applications as biosensing devices and could serve as real-time diagnosis tools. There have been numerous fabric...
Humans Animals Printing, Three-Dimensional Drug Delivery Systems Artificial Intelligence Microinjections Needles
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Designing drugs optimized for both blood-brain barrier permeation and intra-cerebral partition.

Expert opinion on drug discovery Dec 25, 2023
INTRODUCTION: With the increasing incidence and prevalence of neurological disorders globally, there is a paramount need for new pharmacotherapies. BBB effectively protects the brain but raises a profound challenge to drug permeation, with less than ...
Animals Drug Delivery Systems Biological Transport Brain Blood-Brain Barrier Artificial Intelligence
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Ultrasound robotics for precision therapy.

Advanced drug delivery reviews Dec 23, 2023
In recent years, the application of microrobots in precision therapy has gained significant attention. The small size and maneuverability of these micromachines enable them to potentially access regions that are difficult to reach using traditional m...
Humans Robotics Drug Delivery Systems
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Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems.

Journal of medical systems Dec 18, 2023
Adhesion is a critical quality attribute and performance characteristic for transdermal and topical delivery systems (TDS). Regulatory agencies recommend in vivo skin adhesion studies to support the approval of TDS in both new drug applications and a...
Skin Administration, Cutaneous Technology Drug Delivery Systems Artificial Intelligence Humans
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A deep learning method for drug-target affinity prediction based on sequence interaction information mining.

PeerJ Dec 11, 2023
BACKGROUND: A critical aspect of drug discovery involves the prediction of drug-target affinity (DTA). Conducting wet lab experiments to determine affinity is both expensive and time-consuming, making it necessary to find alternative approaches. In ...
Biological Evolution Drug Discovery Deep Learning Drug Delivery Systems
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Delivering drugs with microrobots.

Science (New York, N.Y.) Dec 7, 2023
Biomedical microrobots could overcome current challenges in targeted therapies.
Robotics Drug Delivery Systems Humans
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Towards multifunctional robotic pills.

Nature biomedical engineering Sep 18, 2023
Robotic pills leverage the advantages of oral pharmaceutical formulations-in particular, convenient encapsulation, high loading capacity, ease of manufacturing and high patient compliance-as well as the multifunctionality, increasing miniaturization ...
Robotics Equipment Design Animals Microinjections Administration, Oral Drug Delivery Systems Humans
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Predicting the target landscape of kinase inhibitors using 3D convolutional neural networks.

PLoS computational biology Sep 5, 2023
Many therapies in clinical trials are based on single drug-single target relationships. To further extend this concept to multi-target approaches using multi-targeted drugs, we developed a machine learning pipeline to unravel the target landscape of ...
Workflow Protein Kinase Inhibitors Drug Delivery Systems Neural Networks, Computer Machine Learning
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