Latest AI and machine learning research in covid-19 for healthcare professionals.
DNN decision logic is vulnerable to adversarial attacks, making robustness testing essential for saf...
Endoscopic sinus surgery (ESS) carries risks such as vision loss and intracranial injury due to the ...
Somatic variant discovery in tumors is crucial for clinical analysis, yet most existing methods are ...
Predicting antibody and NANOBODY® VHH-antigen complexes remains a critical challenge for state-of-th...
BACKGROUND: Determination of death by neurologic criteria (DNC) relies on clinical examination, prov...
BACKGROUND: The radiation therapy treatment process is very labour intensive, and artificial intelli...
Drug repurposing presents a cost-effective and time-efficient strategy to identify new therapeutic a...
BACKGROUND: The identification of reliable neural signatures for pain remains a critical challenge i...
The increasing global burden of cancer necessitates innovative therapeutic strategies. Cell therapy ...
INTRODUCTION: Osteoporosis (OP) is a multifactorial skeletal disorder marked by reduced bone mass an...
Quantifying molecular similarity is a cornerstone of cheminformatics, underpinning applications from...
Artificial intelligence (AI) is reshaping drug discovery by bridging the gap between traditional com...
BACKGROUND: Systematic collection of social determinants of health (SDoH) data remains inconsistent ...
PURPOSE: This study developed an automated deep learning-based system to quantify retinoschisis and ...
In-stent restenosis (ISR) remains a significant complication after percutaneous coronary interventio...
Cardiovascular complications associated with Post-COVID-19 Patients remain difficult to identify at ...
BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities per...
Objective: To construct a machine learning diagnostic model for hereditary hearing loss based on GJB...
Microbiome beta diversity analysis relies on distance-based methods, including permutational multiva...
The structural and functional connectivity of the brain network is a combination of complex connecti...
BACKGROUND: Somatic variant callers were originally developed to identify tumour-specific mutations ...