Latest AI and machine learning research in covid-19 for healthcare professionals.
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gastroenteritis worldwide. Clinical advancement of promising vaccine candidates from phase 2 studies to phase 3 field trials has been hampered by the lack of robust immunological correlates of protection. Here, we conducted a phase 2b randomized, placebo-controlled vaccination and challenge study to ass...
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen. Nevertheless, the diagnostic rate remains below 60% due to the absence of specific symptoms and diagnostic markers, which hinders the implementation of targeted personalized therapies. This study investigates immunological features of asthma with house dust mite (HDM) sensitisation in children, aim...
BACKGROUND: Artificial intelligence (AI) can be used to estimate age from the electrocardiogram (AI-ECG age). The difference between AI-ECG age and ch...
BACKGROUND/OBJECTIVES: Venezuelan equine encephalitis virus (VEEV) represents a significant biothreat with no FDA-approved vaccine currently available...
Accurate estimation of ambient PM concentrations is crucial for assessing air quality and health risks, particularly in regions with limited ground-ba...
Nanobodies, derived from naturally occurring heavy-chain antibodies in camelids (VHHs) and sharks (Vs), are unique single-domain antibodies that have ...
Engineered scaffold-based proteins that bind to concrete targets with high affinity offer significant advantages over traditional antibodies in theran...
To perform accurate computer vision quality assessments of sperm used within reproductive medicine, a clear separation of each sperm component from th...
We developed an AI-driven software solution to quantify metastatic bone disease from WB-DWI scans. Core technologies include: (i) a weakly-supervise...
As large-scale social data explode and machine-learning methods evolve, scholars of entrepreneurship and innovation face new research opportunities ...
Recently, the application of deep learning in image colorization has received widespread attention. The maturation of diffusion models has further a...
Stereo matching methods rely on dense pixel-wise ground truth labels, which are laborious to obtain, especially for real-world datasets. The scarcit...
Accurate segmentation of tubular topological structures (e.g., fissures and vasculature) is critical in various fields to guarantee dependable downs...
Causal inference has emerged as a promising approach to mitigate long-tail classification by handling the biases introduced by class imbalance. Howe...
Carbapenem resistance and hypervirulence represent two distinct evolutionary pathways in , posing significant challenges in clinical settings. Of part...
The advent of next-generation antibody-drug conjugates (ADCs), particularly trastuzumab deruxtecan (T-DXd), has transformed our understanding of human...
Despite the success of BCMA-targeting CAR-Ts in multiple myeloma, patients with high-risk cytogenetic features still relapse most quickly and are in u...
Acute myeloid leukemia (AML) with KMT2A rearrangements (KMT2A-r) represents a highly aggressive and prognostically unfavorable subtype of leukemia, of...
Over the past decade, several swine influenza variants, including H1N1 and H1N2, have been periodically detected in swine. Raman spectroscopy (RS) off...
COVID-19 was one of the most serious global public health emergencies in recent years, and its extremely fast spreading speed had a profound negative ...