Environmental Health

Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto-ML.

Artificial Intelligence (AI) and machine learning (ML) have now spawned a new field within health ca...

Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions.

The Food & Drug Administration (FDA) is considering the permanent exemption of premarket notificatio...

Use of Artificial Intelligence and Deep Neural Networks in Evaluation of Patients With Electrocardiographically Concealed Long QT Syndrome From the Surface 12-Lead Electrocardiogram.

IMPORTANCE: Long QT syndrome (LQTS) is characterized by prolongation of the QT interval and is assoc...

Biohybrid soft robots with self-stimulating skeletons.

Bioinspired hybrid soft robots that combine living and synthetic components are an emerging field in...

Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography.

Although heart failure with reduced ejection fraction (HFrEF) is a common clinical syndrome and can ...

Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.

This study examines the role that racial residential segregation has played in shaping the spread of...

Deep learning and cancer biomarkers: recognising lead-time bias - Authors' reply.

Deep learning and cancer biomarkers: recognising lead-time bias.

Deep learning for in vivo near-infrared imaging.

Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a ...

[Preparation of brazilein from by high performance countercurrent chromatography].

Brazilein is among the main chemical constituents of . It has diverse pharmacological activities. Mo...

Bio-protective effects of subsp. against aflatoxin b1 genotoxicity on human blood lymphocytes: a native probiotic strain isolated from Iranian camel milk.

BACKGROUND AND PURPOSE: Aflatoxin B1 is one of the main poisonous substances in certain kinds of fun...

Estimating Reliability of Signal Quality of Physiological Data from Data Statistics Itself for Real-time Wearables.

Artificial intelligence (AI) algorithms including machine and deep learning relies on proper data fo...

Commentary: Frameless ROSA® Robot-Assisted Lead Implantation for Deep Brain Stimulation: Technique and Accuracy.

Frameless ROSA® Robot-Assisted Lead Implantation for Deep Brain Stimulation: Technique and Accuracy.

BACKGROUND: Frameless robotic-assisted surgery is an innovative technique for deep brain stimulation...

Field performance of sterile male mosquitoes released from an uncrewed aerial vehicle.

Genetic control methods of mosquito vectors of malaria, dengue, yellow fever, and Zika are becoming ...

Artificial intelligence and the future of global health.

Concurrent advances in information technology infrastructure and mobile computing power in many low ...

ESMRMB Round Table report on "Can Europe Lead in Machine Learning of MRI-Data?".

Sustainable manufacturing of sensors onto soft systems using self-coagulating conductive Pickering emulsions.

Compliant sensors based on composite materials are necessary components for geometrically complex sy...

Efficacy of an Automated Robotic Cleaning Device for Compounding Pharmacies.

Compounded medicinal products should be prepared using an appropriate quality-assurance system. Clea...

The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

This review aims to provide a comprehensive recapitulation of the evolution in the field of cardiac ...

Toxic activity of Prunus spinosa L. flower extract in hepatocarcinoma cells.

Prunus spinosa L. (blackthorn) is used in traditional medicine as a remedy for various diseases. To ...