Latest AI and machine learning research in vaccines for healthcare professionals.
To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective and safe ...
OBJECTIVE: To determine whether machine learning (ML) can predict the presence of extracapsular exte...
OBJECTIVE: To compare the CT texture feature reproducibility of 2D and 3D segmentations and their ma...
The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility ...
BACKGROUND: Although clinical decision support (CDS) alerts are effective reminders of best practice...
Seasonal influenza viruses are constantly changing and produce a different set of circulating strain...
Recently, significant attention has been devoted to vaccine-derived poliovirus (VDPV) surveillance d...
A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospit...
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter me...
Lipid droplet (LD) accumulation, a key feature of foam cells, constitutes an attractive target for t...
Identification of neoantigens is a critical step in predicting response to checkpoint blockade thera...
BACKGROUND: Pneumococcal diseases among children aged <5 years worldwide are associated with high an...
A highly sensitive and broadly specific competitive indirect enzyme-linked immunosorbent assay (ciEL...
PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vacc...
In the twenty-first century, high contagious infectious diseases such as SARS (Severe Acute Respirat...
Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures o...
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay...
BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply...
Machine learning has the potential to identify novel biological factors underlying successful antibo...
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility compl...
In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitop...