Latest AI and machine learning research in asthma for healthcare professionals.
The MITRE ATT&CK framework is a widely adopted tool for enhancing cybersecurity, supporting threat...
Accurate estimation of voltage drop (IR drop) in modern Application-Specific Integrated Circuits (...
SUMMARY: Polygenic risk scores (PRSs) hold promise for early disease diagnosis and personalized trea...
Ensuring safety alignment has become a critical requirement for large language models (LLMs), part...
The ion channel (IC) genes encoded in the human genome play fundamental roles in cellular functions ...
The flexible deployment of cognitive control is essential for adaptive functioning in dynamic enviro...
The advent of spatial omics has revolutionized our understanding of tissue biology; however, these t...
This study presents a novel two stage deep learning algorithm for automated detection of mucus plugs...
The integration of artificial intelligence (AI) into the management of chronic obstructive pulmonary...
Airborne fungi are potent inducers of respiratory disease and cause the debilitating conditions seve...
Analysis of cough sounds have the potential to give a clue regarding the underlying respiratory dise...
To quantify spectral-domain optical coherence tomography (SD-OCT) images cross-sectionally and longi...
Despite biomarker-guided treatment strategies, clinical outcomes among patients with type 2 (T2)-hig...
To evaluate whether incorporating baseline sleep measures from a wrist-worn activity monitor in mach...
Exposure to chemical irritants in laboratory and medical environments poses significant health risks...
Diagnosis of asthma in primary care is challenged by a multistep pathway with variable adherence lea...
BACKGROUNDS: Asthma and ulcerative colitis (UC) are chronic inflammatory diseases linked through the...
BACKGROUND: To evaluate the feasibility and practicality of home spirometry telemonitoring for pedia...
Continual learning (CL) learns a sequence of tasks incrementally. This paper studies the challengi...
Annotation of medical images, such as MRI and CT scans, is crucial for evaluating treatment effica...
Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atri...