Public Health & Policy

Ethics

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

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Predicting the sources of impaired wh-question comprehension in non-fluent aphasia: A cross-linguistic machine learning study on Turkish and German.

This study investigates the comprehension of wh-questions in individuals with aphasia (IWA) speaking...

Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis.

The literature on self-driving cars and ethics continues to grow. Yet much of it focuses on ethical ...

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.

Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian Ptolemaic ...

Serum ferritin as a non-invasive marker in the prediction of hepatic fibrosis among Egyptian patients with non-alcoholic fatty liver disease.

BACKGROUND AND AIM: Many studies have found a relationship between hepatic iron, serum ferritin, and...

Specific and intrinsic sequence patterns extracted by deep learning from intra-protein binding and non-binding peptide fragments.

The key finding in the DNA double helix model is the specific pairing or binding between nucleotides...

Parenchyma-sparing hepatectomy (PSH) versus non-PSH for bilobar liver metastases of colorectal cancer.

BACKGROUND: Preoperative interventions have increased the resectability of colorectal cancer (CRC) l...

The Dawning of the Ethics of Environmental Robots.

Environmental scientists and engineers have been exploring research and monitoring applications of r...

A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts.

BACKGROUND: In recent years, a rapidly increasing number of RNA transcripts has been generated by th...

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

BACKGROUND: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction ...

Teixobactin analogues reveal enduracididine to be non-essential for highly potent antibacterial activity and lipid II binding.

Teixobactin is a highly promising antibacterial depsipeptide consisting of four d-amino acids and a ...

Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion.

While non-negative blind source separation (nBSS) has found many successful applications in science ...

Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human ...

Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpfu...

Some new results on stability and synchronization for delayed inertial neural networks based on non-reduced order method.

In this paper, without transforming the second order inertial neural networks into the first order d...

A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early ide...

Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems.

Artificial Neural Networks (ANNs) are commonly used in place of expensive models to reduce the compu...

The use of care robots in aged care: A systematic review of argument-based ethics literature.

BACKGROUND: As care robots become more commonplace in aged-care settings, the ethical debate on thei...

Predicting hemispheric dominance for language production in healthy individuals using support vector machine.

We used a Support Vector Machine (SVM) classifier to assess hemispheric pattern of language dominanc...

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