Ethics

Non-Gaussian Methods for Causal Structure Learning.

Causal structure learning is one of the most exciting new topics in the fields of machine learning a...

[Effects of long non-coding RNA RP1-90L14.1 on the biological behaviors of cancer prostate LNCaP cells and its regulating mechanisms].

OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migra...

Robotic PCI: Evolving from novel toward non-inferior.

Robotic-assisted PCI appears to be safe and feasible in both simple and complex lesions. In this sma...

Stability properties of neural networks with non-instantaneous impulses.

In this paper, we consider neural networks in the case when the neurons are subject to a certain imp...

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation.

Memristive devices represent a promising technology for building neuromorphic electronic systems. In...

Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks.

PURPOSE: Many studies have proposed predictive models for type 2 diabetes mellitus (T2DM). However, ...

DOES THE 25-OH-VITAMIN D LEVEL AFFECT THE INSULIN RESISTANCE IN THE PATIENTS WITH NON-DIABETIC CHRONIC KIDNEY DISEASE?

INTRODUCTION: The aim of this study was to investigate the effects of vitamin D deficiency on insuli...

AI, Machine Learning, and Ethics in Health Care.

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Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.

BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (...

[Ethics and artificial intelligence in healthcare, towards positive regulation].

The positive regulation of artificial intelligence in healthcare represents a major stake to allow a...

Artificial intelligence (AI) in healthcare and biomedical research: Why a strong computational/AI bioethics framework is required?

Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology.

AIM: To construct a non-invasive prediction algorithm for predicting non-alcoholic steatohepatitis (...

Programmed cell death protein-1/programmed death-ligand 1 blockade enhances the antitumor efficacy of adoptive cell therapy against non-small cell lung cancer.

BACKGROUND: Cytokine-induced killer (CIK) cells and natural killer (NK) cells are employed by two di...

[Effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells and the underlying mechanisms].

To investigate the effect of Brucea javanica oil emulsion on proliferation, migration and autophagy ...

[Survival Analysis of Stage I Non-small Cell Lung Cancer Patients Treated with 
Da Vinci Robot-assisted Thoracic Surgery].

BACKGROUND: Da Vinci robotic surgery system is widely used in department of thoracic surgery. The ai...

LncRNAnet: long non-coding RNA identification using deep learning.

MOTIVATION: Long non-coding RNAs (lncRNAs) are important regulatory elements in biological processes...

PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging.

Aging biomarkers are the qualitative and quantitative indicators of the aging processes of the human...

If It Only Had a Brain: What "Neuro" Means for Science and Ethics.

[Bigdata, artificial intelligence and blockchain for dummies].

Digitalization is transforming every aspect of life, it is also transforming deeply medicine. The di...

How Bioethics Can Shape Artificial Intelligence and Machine Learning.

Artificial intelligence and machine learning have the potential to revolutionize the delivery of hea...

Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks.

Machine learning approaches for image analysis require large amounts of training imaging data. As an...