AIMC Topic: Drug Delivery Systems

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Engineering microrobots for targeted cancer therapies from a medical perspective.

Nature communications Nov 5, 2020
Systemic chemotherapy remains the backbone of many cancer treatments. Due to its untargeted nature and the severe side effects it can cause, numerous nanomedicine approaches have been developed to overcome these issues. However, targeted delivery of ...
Drug Carriers Robotics Nanomedicine Interdisciplinary Communication Humans Drug Delivery Systems Neoplasms
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Spatiotemporal identification of druggable binding sites using deep learning.

Communications biology Oct 27, 2020
Identification of novel protein binding sites expands druggable genome and opens new opportunities for drug discovery. Generally, presence or absence of a binding site depends on the three-dimensional conformation of a protein, making binding site id...
Binding Sites Ion Channel Gating Receptors, Purinergic P2X3 Models, Biological Adenosine Triphosphate Protein Conformation Software Drug Delivery Systems Receptors, G-Protein-Coupled Models, Molecular Deep Learning Protein Binding
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A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes.

Nature communications Aug 21, 2020
Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in the development of optimized small-molecule compounds. Current approaches cannot identif...
Humans Machine Learning Drug Delivery Systems Proteomics Proteome Mass Spectrometry Cell Survival Drug Discovery Protein Binding Computational Biology Proteolysis Ligands Binding Sites HeLa Cells Phosphotransferases Saccharomyces cerevisiae Botrytis
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Models, Cardiovascular Machine Learning Anesthetics Retrospective Studies Intubation, Intratracheal Humans Hypotension Middle Aged Neural Networks, Computer Cholecystectomy, Laparoscopic Risk Assessment Arterial Pressure Monitoring, Intraoperative Adult Bayes Theorem Electronic Health Records ROC Curve Drug Delivery Systems Feasibility Studies Female Male Anesthesia, General Aged
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Machine learning models for drug-target interactions: current knowledge and future directions.

Drug discovery today Mar 12, 2020
Predicting the binding affinity between compounds and proteins with reasonable accuracy is crucial in drug discovery. Computational prediction of binding affinity between compounds and targets greatly enhances the probability of finding lead compound...
Drug Development Proteins Ligands Humans Machine Learning Drug Delivery Systems Drug Discovery Deep Learning Computational Biology
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A Bayesian machine learning approach for drug target identification using diverse data types.

Nature communications Nov 19, 2019
Drug target identification is a crucial step in development, yet is also among the most complex. To address this, we develop BANDIT, a Bayesian machine-learning approach that integrates multiple data types to predict drug binding targets. Integrating...
Neoplasms Drug Discovery Antineoplastic Agents Drug Repositioning Humans Bayes Theorem Machine Learning Drug Delivery Systems
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Multifunctional Nanorobot System for Active Therapeutic Delivery and Synergistic Chemo-photothermal Therapy.

Nano letters Nov 11, 2019
Nanorobots are safe and exhibit powerful functionalities, including delivery, therapy, and diagnosis. Therefore, they are in high demand for the development of new cancer therapies. Although many studies have contributed to the progressive developmen...
Nanostructures Phototherapy Hyperthermia, Induced Humans Neoplasms Drug Delivery Systems Cell Line, Tumor Robotics
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Micro-nanorobots: important considerations when developing novel drug delivery platforms.

Expert opinion on drug delivery Oct 14, 2019
: There is growing emphasis on the development of bioinspired and biohybrid micro/nanorobots for the targeted drug delivery (TDD). Particularly, stimuli-responsive materials and magnetically triggered systems, identified as the most promising materia...
Drug Delivery Systems Robotics Nanotechnology Humans
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A Human Microrobot Interface Based on Acoustic Manipulation.

ACS nano Aug 21, 2019
Micro/nanorobotic systems capable of targeted transporting and releasing hold considerable promise for drug delivery, cellular surgery, biosensing, nano assembling, . However, on-demand precise control of the micro/nanorobot movement remains a major ...
Robotics Humans Acoustics Drug Delivery Systems
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Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine.

Advanced materials (Deerfield Beach, Fla.) Jul 9, 2019
Artificial intelligence (AI) and nanotechnology are two fields that are instrumental in realizing the goal of precision medicine-tailoring the best treatment for each cancer patient. Recent conversion between these two fields is enabling better patie...
Computational Biology Drug Delivery Systems Nanomedicine Humans Animals Nanostructures Artificial Intelligence Neoplasms Nanotechnology Precision Medicine
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