Latest AI and machine learning research in flu & uri for healthcare professionals.
Many proteins exist in natures as oligomers with various quaternary structural attributes rather tha...
Chronic pain is highly prevalent and poorly controlled, of which the accurate underlying mechanisms ...
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...
OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited...
Antimicrobial resistance has become one of the most important health problems and global action plan...
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter me...
Dengue fever (DF) is one of the most rapidly spreading diseases in the world, and accurate forecasts...
Identification of neoantigens is a critical step in predicting response to checkpoint blockade thera...
Introduction Allergic rhinitis (AR) is the most common non-infectious rhinitis and is associated wit...
Different bioinformatic and data-mining approaches have been used for the analysis of proteins. Here...
Avian influenza (AI) is a viral infectious disease that affects all species of domestic and wild bir...
Infectious bursal disease virus (IBDV) in turkeys may result in immunosuppression, and inability of ...
BACKGROUND: Despite the efforts of research groups to develop and implement at least partial automat...
BACKGROUND: Pneumococcal diseases among children aged <5 years worldwide are associated with high an...
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...
BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health haza...
This study was aimed to introduce a novel algorithm for determining linear B- and T-cell epitopes fr...
The aim of this study was to identify a combination of early predictive symptoms/sensations attribut...
The ability of multitask learning promulgated its sovereignty in the machine learning field with the...