Latest AI and machine learning research in covid-19 for healthcare professionals.
During the training of Large Language Models (LLMs), tensor data is periodically "checkpointed" to...
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gast...
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....
BACKGROUND: Artificial intelligence (AI) can be used to estimate age from the electrocardiogram (AI-...
BACKGROUND/OBJECTIVES: Venezuelan equine encephalitis virus (VEEV) represents a significant biothrea...
Accurate estimation of ambient PM concentrations is crucial for assessing air quality and health ris...
Nanobodies, derived from naturally occurring heavy-chain antibodies in camelids (VHHs) and sharks (V...
Engineered scaffold-based proteins that bind to concrete targets with high affinity offer significan...
To perform accurate computer vision quality assessments of sperm used within reproductive medicine, ...
We developed an AI-driven software solution to quantify metastatic bone disease from WB-DWI scans....
As large-scale social data explode and machine-learning methods evolve, scholars of entrepreneursh...
Recently, the application of deep learning in image colorization has received widespread attention...
Stereo matching methods rely on dense pixel-wise ground truth labels, which are laborious to obtai...
Accurate segmentation of tubular topological structures (e.g., fissures and vasculature) is critic...
Causal inference has emerged as a promising approach to mitigate long-tail classification by handl...
Carbapenem resistance and hypervirulence represent two distinct evolutionary pathways in , posing si...
The advent of next-generation antibody-drug conjugates (ADCs), particularly trastuzumab deruxtecan (...
Despite the success of BCMA-targeting CAR-Ts in multiple myeloma, patients with high-risk cytogeneti...
Over the past decade, several swine influenza variants, including H1N1 and H1N2, have been periodica...
COVID-19 was one of the most serious global public health emergencies in recent years, and its extre...
OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 201...