Public Health & Policy

Ethics

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

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Revolutionizing healthcare: a comparative insight into deep learning's role in medical imaging.

Recently, Deep Learning (DL) models have shown promising accuracy in analysis of medical images. Alz...

Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks.

: Accurate reconstruction of internal temperature fields from surface temperature data is critical f...

Development of a visuo-tactile sensor for non-destructive peach firmness and contact force measurement suitable for robotic arm applications.

Precise measurement of firmness was crucial for determining optimal harvesting times, implementing r...

A non-linear modelling approach to predict the dissolution profile of extended-release tablets.

This study proposes a novel non-linear modelling approach to predict the dissolution profiles of ext...

Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations.

Stroke is a neurological complication that can occur in patients admitted to the intensive care unit...

Analysis of four long non-coding RNAs for hepatocellular carcinoma screening and prognosis by the aid of machine learning techniques.

Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...

SurfDock is a surface-informed diffusion generative model for reliable and accurate protein-ligand complex prediction.

Accurately predicting protein-ligand interactions is crucial for understanding cellular processes. W...

Regulating professional ethics in a context of technological change.

BACKGROUND: Technological change is impacting the work of health professionals, especially with rece...

Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach.

Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer res...

Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.

BACKGROUND: Injuries constitute a significant global public health concern, particularly among indiv...

Machine learning identifies cytokine signatures of disease severity and autoantibody profiles in systemic lupus erythematosus - a pilot study.

Disrupted cytokine networks and autoantibodies play an important role in the pathogenesis of systemi...

Machine learning approaches for predicting and diagnosing chronic kidney disease: current trends, challenges, solutions, and future directions.

Chronic Kidney Disease (CKD) represents a significant global health challenge, contributing to incre...

DDKG: A Dual Domain Knowledge Guidance strategy for localization and diagnosis of non-displaced femoral neck fractures.

X-ray is the primary tool for diagnosing fractures, crucial for determining their type, location, an...

A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach.

BACKGROUND: Lung cancer is characterized by high morbidity and mortality due to the lack of practica...

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