Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Why do algorithms keep showing us content we claim not to want? The answer isn’t manipulation—it’s conflict between our ...

Introduction to Problem-solving: Steps for Problem-solving (Analyzing the problem, developing an algorithm, coding, testing, and debugging), representation of algorithms using flowchart and pseudocode ...

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 ...

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.