AIMC Topic: Endpoint Determination

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AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases.

Nature medicine Aug 7, 2024
Clinical trials in metabolic dysfunction-associated steatohepatitis (MASH, formerly known as nonalcoholic steatohepatitis) require histologic scoring for assessment of inclusion criteria and endpoints. However, variability in interpretation has impac...
Non-alcoholic Fatty Liver Disease Patient Selection Male Liver Cirrhosis Liver Diseases Artificial Intelligence Retrospective Studies Endpoint Determination Female Automation Reproducibility of Results Clinical Trials as Topic Humans
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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

BMC pregnancy and childbirth Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Predictive Value of Tests Area Under Curve Deep Learning ROC Curve Datasets as Topic Endpoint Determination Microscopy Probability Humans Reproducibility of Results Single Embryo Transfer Live Birth Time-Lapse Imaging
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Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space.

Journal of chemical information and modeling Jan 23, 2019
Acute toxicity is one of the most challenging properties to predict purely with computational methods due to its direct relationship to biological interactions. Moreover, toxicity can be represented by different end points: it can be measured for dif...
Animals Endpoint Determination Deep Learning Models, Theoretical Toxicity Tests, Acute
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A prospective, randomized, blinded-endpoint, controlled study - continuous epidural infusion versus programmed intermittent epidural bolus in labor analgesia.

Brazilian journal of anesthesiology (Elsevier) Nov 19, 2015
BACKGROUND: There is evidence that administration of a programmed intermittent epidural bolus (PIEB) compared to continuous epidural infusion (CEI) leads to greater analgesia efficacy and maternal satisfaction with decreased anesthetic interventions.
Analgesia, Patient-Controlled Infant, Newborn Pregnancy Patient Satisfaction Humans Cesarean Section Female Endpoint Determination Double-Blind Method Prospective Studies Adult Infusion Pumps Anesthetics, Local Analgesia, Obstetrical Analgesia, Epidural
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Recursive Random Forests Enable Better Predictive Performance and Model Interpretation than Variable Selection by LASSO.

Journal of chemical information and modeling Mar 16, 2015
Variable selection is of crucial significance in QSAR modeling since it increases the model predictive ability and reduces noise. The selection of the right variables is far more complicated than the development of predictive models. In this study, e...
Quantitative Structure-Activity Relationship Endpoint Determination Machine Learning Models, Molecular Humans
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In-line monitoring and endpoint determination of percolation process of herbal medicine using ultraviolet spectroscopy combined with convolutional neural network.

The Journal of pharmacy and pharmacology Oct 7, 2021
OBJECTIVES: As a common step in the herbal medicine production process, percolation usually lacks effective process monitoring methods and is often conducted with fixed process parameters. In this study, an in-line ultraviolet (UV) spectroscopy was u...
Herbal Medicine Sinomenium Phytotherapy Endpoint Determination Chemistry, Pharmaceutical Drugs, Chinese Herbal Plant Preparations Plants, Medicinal Neural Networks, Computer Drug Compounding Humans Algorithms Spectrum Analysis
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