Public Health & Policy

Ethics

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

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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

There is general agreement in the brain-computer interface (BCI) community that although non-linear ...

The drug target genes show higher evolutionary conservation than non-target genes.

Although evidence indicates that drug target genes share some common evolutionary features, there ha...

New fundamental evidence of non-classical structure in the combination of natural concepts.

We recently performed cognitive experiments on conjunctions and negations of two concepts with the a...

The role of HE4 and CA125 in differentiation between malignant and non-malignant endometrial pathologies.

OBJECTIVES: The aim of the study was to assess the role of HE4 and CA125 in differentiation between ...

Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach.

The Human Pregnane X Receptor (hPXR) is a regulator of drug metabolising enzymes (DME) and efflux tr...

Non-invasive brain stimulation and robot-assisted gait training after incomplete spinal cord injury: A randomized pilot study.

BACKGROUND: Locomotor training with a robot-assisted gait orthosis (LT-RGO) and transcranial direct ...

A preliminary study on the relationship between circulating tumor cells count and clinical features in patients with non-small cell lung cancer.

BACKGROUND: To evaluate the clinical value of circulating tumor cells (CTC) count in peripheral veno...

[Trans-Arterial Chemoembolization Therapy for Refractory Advanced Non-Small Cell Lung Cancer with Spherical Embolic Material--A Single Case Report].

Here, we report the use of trans-arterial chemoembolization for primary lung cancer. The patient was...

Comparison of non-vitamin K antagonist oral anticoagulants and warfarin on clinical outcomes in atrial fibrillation patients with renal dysfunction.

AIMS: We aimed to compare the efficacy and safety between non-vitamin K antagonist oral anticoagulan...

The relative efficiency of modular and non-modular networks of different size.

Most biological networks are modular but previous work with small model networks has indicated that ...

The Minimally Invasive Manipulator: an ergonomic and economic non-robotic alternative for endoscopy?

INTRODUCTION: Since the da Vinci robotic system was introduced, it has been reported to have ergonom...

Non-divergence of stochastic discrete time algorithms for PCA neural networks.

Learning algorithms play an important role in the practical application of neural networks based on ...

Evaluation of insulin resistance and plasma levels for visfatin and resistin in obese and non-obese patients with polycystic ovary syndrome.

This study was designed to evaluate insulin resistance and plasma levels of visfatin and resistin in...

Early experience in transoral robotic surgery (TORS) for non-oropharyngeal head and neck malignancies: a review of functional and oncologic outcomes.

OBJECTIVE: To review and summarize functional and oncologic outcomes after transoral robotic surgery...

Establishment of hepatitis A vaccine (inactivated, non-adsorbed) BRP batches 2 and 3.

The current hepatitis A vaccine (HAV), inactivated, non-adsorbed, European Pharmacopoeia (Ph. Eur.) ...

A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of conf...

Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.

This paper presents a dictionary learning-based method to segment the brain surface in post-surgical...

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