Pulmonology

Asthma

Latest AI and machine learning research in asthma for healthcare professionals.

2,193 articles
Stay Ahead - Weekly Asthma research updates
Subscribe
Browse Categories
Showing 421-441 of 2,193 articles
An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs.

We discuss the design of an experimentation platform intended for prototyping low-cost analog neural...

(2)
Sep 2014 25248194
THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout

The integration of artificial intelligence into computer-aided design frameworks has sparked a shift...

THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout

The integration of artificial intelligence into computer-aided design frameworks has sparked a shift...

Associations Between Early-Life Indoor and Outdoor Air Pollution Exposure and Childhood Asthma

BackgroundEarly-life air pollution exposure has been associated with childhood asthma, but its relat...

Time-Aware Tranformer-Based Prediction Model for AECOPD

The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) mak...

A Two-Stage Time-Aware Transformer for Short-Horizon AECOPD Risk Prediction

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) can worsen rapidly, making time...

Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records

Predictive models over structured electronic health records (EHRs) remain central to machine learnin...

Generative AI Use for Mental Health Support: Patterns, Correlates, and Impact among Canadian Students

Background. General purpose generative AI (GenAI) chatbots are increasingly used by students for men...

Genetic decoding reveals druggable biology implicitly learned by a medical-history foundation model

Foundation models trained on electronic healthcare records (EHRs) have gained traction with the aim ...

Patient-Level Risk Characterization of Drug-Associated Hidradenitis Suppurativa Using Machine Learning

Hidradenitis suppurativa (HS) is a chronic, debilitating, inflammatory skin disorder. Medications ha...

Toward Robust In-Context Segmentation via Concept Guidance

In-context segmentation (ICS) requires a model to segment target regions in a query image using only...

Artificial Intelligence-Based Detection of Airway Mucus Plugs on CT and Associations With Clinical Outcomes in COPDGene

RATIONALE: Airway mucus plugging is a clinically relevant manifestation of airway pathology in chron...

(1)
End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS

The escalating demand for mental healthcare, driven by rising societal stress, highlights the limita...

Optimizing 2D Input Representations and Sub-phase Fusion Strategies for Differential Diagnosis of Asthma and COPD Using CNN- and GRU-Based Networks

This study aims to explore the performance of the VAR model in comparison with mel-frequency cepstra...

Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning

Extensive research has highlighted the severe threats posed by backdoor attacks to deep reinforcemen...

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance

As microelectronics flourish and outsourcing of the design and manufacturing stages of integrated ci...

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process

In a previous work (Elaarabi et al., 2025b), the Sequence Encoder for online dynamical system identi...

SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation

In light of globalized hardware supply chains, the assurance of hardware components has gained signi...

Exposomics for childhood asthma

Identification of early interventions to reduce/eliminate asthma - the most common chronic disease a...

Browse Categories