Public Health & Policy

Ethics

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

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Machine metaphors and ethics in synthetic biology.

The extent to which machine metaphors are used in synthetic biology is striking. These metaphors con...

Managing the 1920s' Chilean educational crisis: A historical view combined with machine learning.

In the first decades of the 20th century, political actors diagnosed the incubation of a crisis in t...

Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction pro...

Evaluation of computational techniques for predicting non-synonymous single nucleotide variants pathogenicity.

The human genetic diseases associated with many factors, one of these factors is the non-synonymous ...

A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.

BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, wit...

Annotating Diseases Using Human Phenotype Ontology Improves Prediction of Disease-Associated Long Non-coding RNAs.

Recently, many long non-coding RNAs (lncRNAs) have been identified and their biological function has...

Prediction of plant lncRNA by ensemble machine learning classifiers.

BACKGROUND: In plants, long non-protein coding RNAs are believed to have essential roles in developm...

Robot Assisted Surgical Ward Rounds: Virtually Always There.

 While an explosion in technological sophistication has revolutionized surgery within the operating ...

Endocardial linear infarct exclusion technique for non-ischaemic functional mitral regurgitation caused by cardiac sarcoidosis: a case report.

INTRODUCTION: Damage to the posterior wall of the left ventricle (LV) can cause tethering mitral reg...

Learning-based endovascular navigation through the use of non-rigid registration for collaborative robotic catheterization.

PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonge...

Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining...

Early robot-assisted gait retraining in non-ambulatory patients with stroke: a single blind randomized controlled trial.

BACKGROUND: Restoration of walking function is a primary concern of neurorehabilitation with respect...

Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques.

The establishment and improvement of transmission systems rely on models that take into account, (am...

An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies.

One of the basic challenges in developing structural methods for systematic audition on the quality ...

MetaGO: Predicting Gene Ontology of Non-homologous Proteins Through Low-Resolution Protein Structure Prediction and Protein-Protein Network Mapping.

Homology-based transferal remains the major approach to computational protein function annotations, ...

The Discovery of an Iridium(III) Dimer Complex as a Potent Antibacterial Agent against Non-Replicating Mycobacterium smegmatis.

Novel agents are urgently needed to rapidly kill drug-resistant . Noble metal complexes, particularl...

Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher.

Learning curves of simple perceptron were derived here. The learning curve of the perceptron learnin...

Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical co...

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully ...

Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics.

The Hippocratic oath and the Belmont report articulate foundational principles for how physicians in...

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