AIMC Topic: In Vitro Techniques
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Cervical wear pathobiology by robot-simulated 3-year toothbrushing - New methodological approach.
Archives of oral biology
Apr 24, 2024
OBJECTIVES: An ex-vivo study was aimed at (i) programming clinically validated robot three-year random toothbrushing, (ii) evaluating cervical macro- and microwear patterns on all tooth groups of different functional age, (iii) documenting and codifi...
Anomaly detection of retention loss in fixed partial dentures using resonance frequency analysis and machine learning: An in vitro study.
Journal of prosthodontic research
Feb 22, 2024
PURPOSE: This study aimed to determine the usefulness of machine learning techniques, specifically supervised and unsupervised learning, for assessing the cementation condition between a fixed partial denture (FPD) and its abutment using a resonance ...
Discrepancies in the occlusal devices designed by an experienced dental laboratory technician and by 2 artificial intelligence-based automatic programs.
The Journal of prosthetic dentistry
Oct 3, 2023
STATEMENT OF PROBLEM: Artificial intelligence (AI) models have been developed for different applications, including the automatic design of occlusal devices; however, the design discrepancies of an experienced dental laboratory technician and these A...
Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests-How Does the Infotechnomics Compare to Other "Omics" in the Cosmetics Safety Assessment?
International journal of molecular sciences
Apr 6, 2023
The aim of the current study was to develop an in silico model to predict the sensitizing potential of cosmetic ingredients based on their physicochemical characteristics and to compare the predictions with historical animal data and results from "om...
Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment.
Ultrasonics
Feb 1, 2022
Temperature monitoring in ultrasound (US) imaging is important for various medical treatments, such as high-intensity focused US (HIFU) therapy or hyperthermia. In this work, we present a deep learning based approach to temperature monitoring based o...
Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin.
PLoS computational biology
Nov 29, 2021
Sickle cell disease, a genetic disorder affecting a sizeable global demographic, manifests in sickle red blood cells (sRBCs) with altered shape and biomechanics. sRBCs show heightened adhesive interactions with inflamed endothelium, triggering painfu...
Laminin
Protein Multimerization
Erythrocytes, Abnormal
Erythrocyte Deformability
Hemoglobin, Sickle
Image Interpretation, Computer-Assisted
Biophysical Phenomena
Lab-On-A-Chip Devices
Microfluidics
Anemia, Sickle Cell
High-Throughput Screening Assays
Humans
Neural Networks, Computer
In Vitro Techniques
Computational Biology
Diagnosis, Computer-Assisted
Deep Learning
Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors.
International journal of molecular sciences
Oct 26, 2021
Olfactory receptors (ORs) constitute the largest superfamily of G protein-coupled receptors (GPCRs). ORs are involved in sensing odorants as well as in other ectopic roles in non-nasal tissues. Matching of an enormous number of the olfactory stimulat...
Soft robotic constrictor for in vitro modeling of dynamic tissue compression.
Scientific reports
Aug 13, 2021
Here we present a microengineered soft-robotic in vitro platform developed by integrating a pneumatically regulated novel elastomeric actuator with primary culture of human cells. This system is capable of generating dynamic bending motion akin to th...
Safer chemicals using less animals: kick-off of the European ONTOX project.
Toxicology
Jun 30, 2021
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing...
Converging global crises are forcing the rapid adoption of disruptive changes in drug discovery.
Drug discovery today
May 18, 2021
Spiralling research costs combined with urgent pressures from the Coronavirus 2019 (COVID-19) pandemic and the consequences of climate disruption are forcing changes in drug discovery. Increasing the predictive power of in vitro human assays and usin...
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