M ore than a decade ago, the economist Erik Brynjolfsson made a prediction: AI would change everything. Humans began using ...

Specifically, Mosseri was showing off new ways that users might access Your Algorithm, a feature that allows them to specify ...

Introduction The complex dynamics of the coronavirus disease 2019 (COVID-19) pandemic has made obtaining reliable long-term forecasts of the disease progression difficult. Simple mechanistic models ...

Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...

Correspondence to Dr Matteo Renzulli, Department of Medical and Surgical Sciences, Sant’Orsola Hospital, University of Bologna, Bologna 40126, Italy; matteo.renzulli{at}aosp.bo.it Objective Many ...

Correspondence to Professor Chien-Chang Lee, MD, ScD; Health Data Science Research Group; The Centre for Intelligent Healthcare; Department of Emergency Medicine, National Taiwan University Hospital, ...

The SGP30 is a digital multi-pixel gas sensor designed foreasy integration into air purifier, demand-controlledventilation, and IoT applications. Sensirion’s CMOSens®technology offers a complete ...

Between December 2020 and July 2022, we conducted a 52-week, open-label, single-arm trial of 100 adults aged 18–75 with asthma, with 25 patients each on Global Initiative for Asthma 2018 treatment ...

Clinical algorithms are tools that aid decision-making in a variety of medical conditions and procedures. Examples include diagnostic calculators that assess the current presence of a disease or ...

This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...

Introduction: The retrospective analysis of continuous glucose monitoring (CGM) timeseries can be hampered by colored and non-stationary measurement noise. Here, we introduce a Bayesian denoising (BD) ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.