AIMC Topic:
SARS-CoV-2

Clear Filters Showing 1461 to 1470 of 1555 articles

Auto informing COVID-19 detection result from x-ray/CT images based on deep learning.

The Review of scientific instruments
It is no secret to all that the corona pandemic has caused a decline in all aspects of the world. Therefore, offering an accurate automatic diagnostic system is very important. This paper proposed an accurate COVID-19 system by testing various deep l...

An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study.

Medicine
BACKGROUND:: In a pandemic situation (e.g., COVID-19), the most important issue is to select patients at risk of high mortality at an early stage and to provide appropriate treatments. However, a few studies applied the model to predict in-hospital m...

Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129.

Cardiovascular research
The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting more than 105 million people worldwide as of 8 February 2020 and causing more than 2.3 million deaths according to the World Health Organization (WHO)...

Vaxign2: the second generation of the first Web-based vaccine design program using reverse vaccinology and machine learning.

Nucleic acids research
Vaccination is one of the most significant inventions in medicine. Reverse vaccinology (RV) is a state-of-the-art technique to predict vaccine candidates from pathogen's genome(s). To promote vaccine development, we updated Vaxign2, the first web-bas...

ModFOLD8: accurate global and local quality estimates for 3D protein models.

Nucleic acids research
Methods for estimating the quality of 3D models of proteins are vital tools for driving the acceptance and utility of predicted tertiary structures by the wider bioscience community. Here we describe the significant major updates to ModFOLD, which ha...

Robotics in Teaching-Learning: But in Nursing?

Nursing science quarterly
In this teaching-learning column, the use of robotic technology is explored as a possible adjunctive assistant to faculty. Given the advances in technology and the imposed restrictions of the recent COVID-19 pandemic, a discussion of using robotic te...

AI-based spectroscopic monitoring of real-time interactions between SARS-CoV-2 and human ACE2.

Proceedings of the National Academy of Sciences of the United States of America
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), invades a human cell via human angiotensin-converting enzyme 2 (hACE2) as the entry, causing the severe coronavirus disease (COVID-19). The interactions between hACE...

Analyzing the vast coronavirus literature with CoronaCentral.

Proceedings of the National Academy of Sciences of the United States of America
The SARS-CoV-2 pandemic has caused a surge in research exploring all aspects of the virus and its effects on human health. The overwhelming publication rate means that researchers are unable to keep abreast of the literature. To ameliorate this, we p...

Mobile Remote Presence Robots for Medical Consultation and Social Connectedness.

Studies in health technology and informatics
We demonstrate that Mobile Remote Presence systems (MRP) aka telepresence robots can be successfully used in certain types of medical consultation such as consultation from a distance with residents of nursing homes. We argue that MRP afforded media ...

DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning.

Studies in health technology and informatics
Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interp...