AIMC Topic: Drug Delivery Systems

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Computational hybrid analysis of drug diffusion in three-dimensional domain with the aid of mass transfer and machine learning techniques.

Scientific reports May 26, 2025
Molecular diffusion of drugs is of major importance for development and understanding drug delivery systems. Indeed, the main phenomenon which is controlling the rate of release is molecular diffusion which can be controlled via different phenomena s...
Drug Delivery Systems Algorithms Diffusion Pharmaceutical Preparations Machine Learning
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A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

Journal of controlled release : official journal of the Controlled Release Society May 10, 2025
There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we report a novel magnetically controlled drug delivering capsule endoscope (MDCE) to achieve precision drug delivery for gastrointestinal diseases. MDC...
Animals Swine Drug Delivery Systems Capsule Endoscopy Capsule Endoscopes Drug Liberation Norepinephrine
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Advancing Pharmaceutical Science with Artificial Neural Networks: A Review on Optimizing Drug Delivery Systems Formulation.

Current pharmaceutical design Jan 1, 2025
Drug Delivery Systems (DDS) have been developed to address the challenges associated with traditional drug delivery methods. These DDS aim to improve drug administration, enhance patient compliance, reduce side effects, and optimize target therapy. T...
Drug Delivery Systems Pharmaceutical Preparations Neural Networks, Computer Humans Drug Compounding Chemistry, Pharmaceutical
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Piquing artificial intelligence towards drug discovery: Tools, techniques, and applications.

Drug development research Apr 1, 2024
The purpose of this study was to discuss how artificial intelligence (AI) methods have affected the field of drug development. It looks at how AI models and data resources are reshaping the drug development process by offering more affordable and exp...
Drug Discovery Drug Development Drug Design Drug Delivery Systems Artificial Intelligence
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iNGNN-DTI: prediction of drug-target interaction with interpretable nested graph neural network and pretrained molecule models.

Bioinformatics (Oxford, England) Mar 4, 2024
MOTIVATION: Drug-target interaction (DTI) prediction aims to identify interactions between drugs and protein targets. Deep learning can automatically learn discriminative features from drug and protein target representations for DTI prediction, but c...
Drug Interactions Drug Delivery Systems Neural Networks, Computer Algorithms
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PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.

Bioinformatics (Oxford, England) Feb 1, 2024
MOTIVATION: Effective drug delivery systems are paramount in enhancing pharmaceutical outcomes, particularly through the use of cell-penetrating peptides (CPPs). These peptides are gaining prominence due to their ability to penetrate eukaryotic cells...
Eukaryotic Cells Drug Delivery Systems Cell-Penetrating Peptides Deep Learning Software
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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine.

Technology in cancer research & treatment Jan 1, 2024
OBJECTIVE: This study presents a comparative analysis of RF and SVM for predicting calcein release from ultrasound-triggered, targeted liposomes under varied low-frequency ultrasound (LFUS) power densities (6.2, 9, and 10 mW/cm).
Fluoresceins Liposomes Support Vector Machine Ultrasonic Waves Drug Delivery Systems Random Forest Drug Liberation Humans
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Robotic Pills as Innovative Personalized Medicine Tools: A Mini Review.

Recent advances in drug delivery and formulation Jan 1, 2024
The most common route for drug administration is the oral route due to the various advantages offered by this route, such as ease of administration, controlled and sustained drug delivery, convenience, and non-invasiveness. In spite of this, oral dru...
Humans Drug Delivery Systems Pharmaceutical Preparations Precision Medicine Administration, Oral Robotics
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BatmanNet: bi-branch masked graph transformer autoencoder for molecular representation.

Briefings in bioinformatics Nov 22, 2023
Although substantial efforts have been made using graph neural networks (GNNs) for artificial intelligence (AI)-driven drug discovery, effective molecular representation learning remains an open challenge, especially in the case of insufficient label...
Drug Delivery Systems Neural Networks, Computer Drug Discovery Artificial Intelligence
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MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.

Briefings in bioinformatics Jul 20, 2023
Adverse drug-drug interactions (DDIs) have become an increasingly serious problem in the medical and health system. Recently, the effective application of deep learning and biomedical knowledge graphs (KGs) have improved the DDI prediction performanc...
Drug Interactions Neural Networks, Computer Research Personnel Humans Drug Delivery Systems
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