Asthma

AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities.

Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to specialists, incomplete clinical documentation, and patients with complex comorbidities. Artificial intelligence clinical decision support systems have been developed mostly for acute hospital settings but not for SNF settings. We present ForeSight-HF, an artificial intelligence clinical decision supp...

AI-based prediction of aspirin-exacerbated respiratory disease using nasal epithelial mRNA expression profiles.

BACKGROUND: Aspirin-exacerbated respiratory disease (AERD) is a distinct asthma endotype marked by asthma, nasal polyposis, and respiratory reactions to COX-1 inhibitors. Early and accurate identification of AERD remains clinically challenging. OBJECTIVE: We sought to develop and externally validate an artificial intelligence (AI)-based diagnostic model that uses nasal epithelial mRNA expression p...

On-device cough detection and respiratory disease classification enhanced by generative data augmentation.

BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment and can be captured using consumer-grade smartphon...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immuno...

An Interpretable Multidimensional Acoustic Physiology Map for COPD Using Digital Lung Sounds.

BACKGROUND: Lung sound analysis may capture chronic obstructive pulmonary disease (COPD) related physiology, but many methods are hard to interpret cl...

AI for predicting exacerbations in KIDs with asthma (AIRE-KIDS).

Recurrent acute care visits are a common yet preventable outcome for many children with asthma. Machine learning (ML) applied to electronic medical re...

Artificial intelligence-based models in predicting acute exacerbations and diagnosing pediatric asthma: a systematic review and meta-analysis.

PURPOSE: This systematic review and meta-analysis evaluated the performance of artificial intelligence (AI)-based models in diagnosing pediatric asthm...

Development and Evaluation of Foundational Cancer Science Graduate Courses in the Evolving Landscape of Cancer Research.

Roswell Park is a free-standing Comprehensive Cancer Center in Buffalo, New York and serves as the academic home to a doctoral program in Cancer Scien...

The evolution of scientific knowledge in childhood asthma over time.

Paediatric asthma management has undergone a significant transformation from rudimentary assessments in the early 20th century to sophisticated diagno...

Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.

Severe asthma remains a challenging, heterogeneous condition, despite significant advances in therapeutic strategies. A subset of patients continues t...

Applications, Progress, and Challenges of Surfactants in Chemical Mechanical Polishing for Copper Interconnects.

With the continuous advancement of integrated circuits (ICs), copper (Cu) interconnects require chemical-mechanical polishing (CMP) with high planariz...

A digital twin and deep-learning ensemble for cyber attack detection in industrial control systems at the IoT edge.

Industrial Control Systems (ICS) face escalating cyber threats as adversaries increasingly exploit artificial intelligence (AI) to evade conventional ...

Air pollution-related health impacts from domestic waste burning and associated interventions: the merits of a traditional versus machine learning scoping review methodology.

Regularly updating repositories of air pollution impacts on health is essential for evidence-based policies, interventions, and progress monitoring. H...

Cytokines and immunologic checkpoint molecules in predicting success of allergen immunotherapy.

There are large variations in how individual patients respond to allergen immunotherapy (AIT) against grass and/or birch allergy. There are currently ...

Identification of diagnostic senescence-associated marker genes in asthma based on machine learning and experimental validation.

BACKGROUND AND AIMS: Asthma imposes a significant global health burden; however, the mechanistic role of cellular senescence in its pathogenesis remai...

Developing and validating an electronic health record-embedded AI model for managing multimorbid hospitalisation risk in patients with chronic RESpiratory disease (AiRES): a study protocol.

BACKGROUND: Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary disease (COPD), are heterogeneous conditions with a ...

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...

Usefulness of lung sound data collection using Skeeper SM-300® device: A pilot study.

BACKGROUND: Digital stethoscope has been introduced to clinical practice and are developing in many aspects. Overwhelming pandemic requires non-contac...

Machine learning-based study of breath sounds in children with asthma in remission and cough variant asthma.

BACKGROUND: Traditional auscultation, heavily dependent on the subjective judgment of physicians, can lead to variability in diagnoses. This study aim...

Wheeze detection in real-world pediatric care: AI applied to smartphone lung auscultation.

UNLABELLED: Smartphone-based lung auscultation, combined with artificial intelligence (AI), may offer a promising alternative for pediatric respirator...