AIMC Topic: Drug Delivery Systems
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Precipitate-Supported Thermal Proteome Profiling Coupled with Deep Learning for Comprehensive Screening of Drug Target Proteins.
ACS chemical biology
Jan 6, 2022
Although thermal proteome profiling (TPP) acts as a popular modification-free approach for drug target deconvolution, some key problems are still limiting screening sensitivity. In the prevailing TPP workflow, only the soluble fractions are analyzed ...
Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry.
Future medicinal chemistry
Dec 23, 2021
Predicting novel small molecule bioactivities for the target deconvolution, hit-to-lead optimization in drug discovery research, requires molecular representation. Previous reports have demonstrated that machine learning (ML) and deep learning (DL) h...
Optimization: Molecular Communication Networks for Viral Disease Analysis Using Deep Leaning Autoencoder.
Computational and mathematical methods in medicine
Dec 13, 2021
Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases has attracted a particular attention. The emergence of viral diseases is expected to accelerate; these data indicate the need for a proactive approach...
Untethered Microrobots for Active Drug Delivery: From Rational Design to Clinical Settings.
Advanced healthcare materials
Dec 1, 2021
Recent advances of untethered microrobots, which navigate the complex regions in vivo for therapeutics, have presented promising multiple applications on future healthcare. Microrobots used for active drug delivery system (DDS) have been demonstrated...
Stereolithography 3D printing technology in pharmaceuticals: a review.
Drug development and industrial pharmacy
Oct 29, 2021
Three-dimensional printing (3DP) technology is an innovative tool used in manufacturing medical devices, producing alloys, replacing biological tissues, producing customized dosage forms and so on. Stereolithography (SLA), a 3D printing technique, is...
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning.
International journal of molecular sciences
Oct 26, 2021
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built to predict the probability of different ...
Environmentally Adaptive Shape-Morphing Microrobots for Localized Cancer Cell Treatment.
ACS nano
Oct 19, 2021
Microrobots have attracted considerable attention due to their extensive applications in microobject manipulation and targeted drug delivery. To realize more complex micro-/nanocargo manipulation (., encapsulation and release) in biological applicati...
Magneto-Responsive Microneedle Robots for Intestinal Macromolecule Delivery.
Advanced materials (Deerfield Beach, Fla.)
Sep 17, 2021
Oral administration is the most convenient and commonly used approach for drug delivery, while it is still a challenge to overcome the complicated gastrointestinal barriers and realize efficient macromolecular drug absorption. Here, novel magneto-res...
Precise Control of Customized Macrophage Cell Robot for Targeted Therapy of Solid Tumors with Minimal Invasion.
Small (Weinheim an der Bergstrasse, Germany)
Sep 12, 2021
Injecting micro/nanorobots into the body to kill tumors is one of the ultimate ambitions for medical nanotechnology. However, injecting current micro/nanorobots based on 3D-printed biocompatible materials directly into blood vessels for targeted ther...
Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiome.
Scientific reports
Sep 1, 2021
Delivery mode and perinatal antibiotics influence gut microbiome composition in children. Most microbiome studies have used the sequencing of the bacterial 16S marker gene but have not reported the metabolic function of the gut microbiome, which may ...
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