Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients

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This thesis explores the integration of artificial intelligence (AI) and, more specifically, large language models (LLMs) in public health practice by exploring the intersection between AI, public health and research and their impact in public health disco ...

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...

Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

Social media studies often collect data retrospectively to analyze public opinion. Social media data may decay over time and such decay may prevent the collection of the complete dataset. As a result, the collected dataset may differ from the complete data ...

Aims The long-term outcomes of the intracoronary delivery of autologous bone marrow-derived cells (BMCs) after acute myocardial infarction are not well established. Following the promising 1 year results of the REGENERATE-AMI trial (despite it not achievin ...

In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increase the ri ...

Background. Lung ultrasonography (LUS) is a promising pragmatic risk-stratification tool in coronavirus disease 2019 (COVID-19). This study describes and compares LUS characteristics between patients with different clinical outcomes. ...

The concept of New Brutalism has been the victim of a series of misunderstandings, myths and aporias. The initial intentions, devoid of any principle or dogma, have passed from hand to hand. The original definitionâ if only one can be identifiedâ has be ...

SARS-CoV-2 started spreading toward the end of 2019 causing COVID-19, a disease that reached pandemic proportions among the human population within months. The reasons for the spectrum of differences in the severity of the disease across the population, an ...

OBJECTIVE To assess risks and costs of hospital admission associated with short term exposure to fine particulate matter with diameter less than 2.5 mu m (PM2.5) for 214 mutually exclusive disease groups. DESIGN Time stratified, case crossover analyses wit ...

Whether it is for personal use or for medical application, wearable sensors are becoming more and more widespread. This is the industry answer to two parallel trends. First, the public show a wish to collect data about their own lifestyle. This rather new ...

While widespread genome sequencing ushers in a new era of preventive medicine, the tools for predictive genomics are still lacking. Time and resource limitations mean that human diseases remain uncharacterized because of an inability to predict clinically ...

Encephalopathy is a neurological complication of COVID-19. The objective of this exploratory study is to investigate the link between systemic inflammation and brain microstructural changes (measured by diffusion-weighted imaging) in patients with COVID-19 ...

Photoplethysmography (PPG)-based monitoring devices will probably play a decisive role in healthcare environment of the future, which will be preventive, predictive, personalized and participatory. Indeed, this optical technology presents several practical ...

Objective. Bioelectronic medicine is opening new perspectives for the treatment of some major chronic diseases through the physical modulation of autonomic nervous system activity. Being the main peripheral route for electrical signals between central nerv ...

Accurate assessment of the left ventricular (LV) systolic function is indispensable in the clinic. However, estimation of a precise index of cardiac contractility, i.e., the end-systolic elastance (E-es), is invasive and cannot be established as clinical r ...

Until today, vital signs monitoring in neonatal intensive care units (NICUs) is based on wired sensors, known to cause discomfort and false alarms. In view of overcoming such issues we investigate a contactless method for respiration monitoring by means of ...

Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provide ...

Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients

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Leveraging social media data and large language models for understanding public health behaviours in the context of infectious diseases and vaccination

The role of computational methods in cardiovascular medicine: a narrative review

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

The Impact of Data Persistence Bias on Social Media Studies

Five-year follow-up of intracoronary autologous cell therapy in acute myocardial infarction: the REGENERATE-AMI trial

Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study

The New Brutalism, invenzione di uno stile

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population: time stratified, case crossover study

Low Power Sensing and Processing in Wearable Biomedical Devices for Personalized Health Monitoring

Predicting the Occurrence of Variants in RAG1 and RAG2

C-reactive protein and white matter microstructural changes in COVID-19 patients with encephalopathy

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography

Simultaneous decoding of cardiovascular and respiratory functional changes from pig intraneural vagus nerve signals

In vivo application and validation of a novel noninvasive method to estimate the end-systolic elastance

Contactless Respiration Monitoring in Real-Time via a Video Camera

The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms