AIMC Topic: Biological Assay
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Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.
Science advances
Jun 4, 2025
Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color consistency in computer vision, color constancy in human perception, and color accuracy in biomedical ...
Development and application of cell-based bioassay in aquatic toxicity assessment.
Aquatic toxicology (Amsterdam, Netherlands)
May 26, 2025
Cell-based bioassays provide a dynamic and physiologically relevant platform for investigating cellular responses to chemical, biological, and environmental stimuli. Unlike traditional biochemical assays, cell-based bioassays utilize living cells to ...
Comprehensive quality evaluation of crude material of Ligusticum chuanxiong Hort. through high performance liquid chromatography coupled with DenseNet-121 assisted hyperspectral imaging and anti-thrombotic zebrafish bioassay.
Journal of pharmaceutical and biomedical analysis
Apr 3, 2025
An innovative, integrated strategy was developed for rapid and comprehensive quality assessment of Ligusticum chuanxiong Hort., the key raw material for Guanxinning tablets. This approach simultaneously evaluates both chemical composition and biologi...
Effect-directed analysis of genotoxicants in food packaging based on HPTLC fractionation, bioassays, and toxicity prediction with machine learning.
Analytical and bioanalytical chemistry
Nov 23, 2024
Many chemicals in food packaging can leach as complex mixtures to food, potentially including substances hazardous to consumer health. Detecting and identifying all of the leachable chemicals are impractical with current analytical instrumentation an...
Automation of biochemical assays using an open-sourced, inexpensive robotic liquid handler.
SLAS technology
Oct 11, 2024
High Throughput Screening is crucial in pharmaceutical companies for efficient testing in drug discovery and development. Our Vaccines Analytical Research and Development (V-AR&D) department extensively uses robotic liquid handlers in their High Thro...
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.
eLife
Apr 10, 2024
Computer models of the human ventricular cardiomyocyte action potential (AP) have reached a level of detail and maturity that has led to an increasing number of applications in the pharmaceutical sector. However, interfacing the models with experimen...
Binding Activity Classification of Anti-SARS-CoV-2 Molecules using Deep Learning Across Multiple Assays.
Balkan medical journal
Mar 11, 2024
BACKGROUND: The coronavirus disease-2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), has urgently necessitated effective therapeutic solutions, with a focus on rapidly identifying and classifying poten...
Augmenting DMTA using predictive AI modelling at AstraZeneca.
Drug discovery today
Mar 8, 2024
Design-Make-Test-Analyse (DMTA) is the discovery cycle through which molecules are designed, synthesised, and assayed to produce data that in turn are analysed to inform the next iteration. The process is repeated until viable drug candidates are ide...
Combining IC or Values from Different Sources Is a Source of Significant Noise.
Journal of chemical information and modeling
Feb 23, 2024
As part of the ongoing quest to find or construct large data sets for use in validating new machine learning (ML) approaches for bioactivity prediction, it has become distressingly common for researchers to combine literature IC data generated using ...
Production of AFB1 High-Specificity Monoclonal Antibody by Three-Stage Screening Combined with the De-Homologation of Antibodies and the Development of High-Throughput icELISA.
Toxins
Dec 25, 2023
To achieve accurate detection of AFB1 toxin content in agricultural products and avoid false-positive rates in the assays, the specificity of mAbs is critical. We improved the specificity of the prepared monoclonal antibodies by modifying the traditi...
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