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Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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A Successful Approach to Kidney Transplantation in Patients With Enteric (Secondary) Hyperoxaluria.

BACKGROUND: Enteric hyperoxaluria due to malabsorption may cause chronic oxalate nephropathy and lea...

Prediction of Short-Distance Aerial Movement of Phakopsora pachyrhizi Urediniospores Using Machine Learning.

Dispersal of urediniospores by wind is the primary means of spread for Phakopsora pachyrhizi, the ca...

Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation.

This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs...

ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing.

Creating and running realistic models of neural networks has hitherto been a task for computing prof...

Artificial intelligence (AI) systems for interpreting complex medical datasets.

Advances in machine intelligence have created powerful capabilities in algorithms that find hidden p...

Knitting and weaving artificial muscles.

A need exists for artificial muscles that are silent, soft, and compliant, with performance characte...

Retinoic Acid Excess Impairs Amelogenesis Inducing Enamel Defects.

Abnormalities of enamel matrix proteins deposition, mineralization, or degradation during tooth deve...

Highly sensitive detection of multiple tumor markers for lung cancer using gold nanoparticle probes and microarrays.

Assay of multiple serum tumor markers such as carcinoembryonic antigen (CEA), cytokeratin 19 fragmen...

The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.

BACKGROUND: Statistics play a critical role in biological and clinical research. However, most repor...

ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.

Blockade of human ether-à-go-go related gene (hERG) channel by compounds may lead to drug-induced QT...

Evaluating the ability of artificial neural network and PCA-M5P models in predicting leachate COD load in landfills.

Waste burial in uncontrolled landfills can cause serious environmental damages and unpleasant conseq...

The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping.

This work is focused on mapping biomedical datasets to a common representation, as an integral part ...

The pharmacokinetic study of rutin in rat plasma based on an electrochemically reduced graphene oxide modified sensor.

An electrochemical method based on a directly electrochemically reduced graphene oxide (ERGO) film c...

IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis.

The current rapid growth of Internet of Things (IoT) in various commercial and non-commercial sector...

[Comparison of ICD 10 and AIS with the Development of a Method for Automated Conversion].

BACKGROUND: Most of the current scores and outcome prediction calculations in traumatology are based...

Hybrid Tissue Engineering Scaffolds by Combination of Three-Dimensional Printing and Cell Photoencapsulation.

Three-dimensional (3D) printing offers versatile possibilities for adapting the structural parameter...

ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data.

PURPOSE: Cancer stage, one of the most important prognostic factors for cancer-specific survival, is...

Broiler responses to digestible threonine at different ages: a neural networks approach.

Three experiments were conducted with broiler chickens to evaluate the effects of digestible threoni...

Gene Ontology Consortium: going forward.

The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource tha...

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