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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emergence began in late 2019 and has since spread rapidly worldwide. The characteristics of respiratory immune response to this emerging virus is not clear. Recently,…

定量方法 · 定量生物学 2021-10-12 Seyednami Niyakan , Xiaoning Qian

The unprecedented outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), or COVID-19, continues to be a significant worldwide problem. As a result, a surge of new COVID-19 related research has followed suit. The growing…

机器学习 · 计算机科学 2021-07-21 Maksim E. Eren , Nick Solovyev , Chris Hamer , Renee McDonald , Boian S. Alexandrov , Charles Nicholas

Following the global COVID-19 pandemic, the number of scientific papers studying the virus has grown massively, leading to increased interest in automated literate review. We present a clinical text mining system that improves on previous…

计算与语言 · 计算机科学 2020-12-09 Veysel Kocaman , David Talby

A molecular and cellular understanding of how SARS-CoV-2 variably infects and causes severe COVID-19 remains a bottleneck in developing interventions to end the pandemic. We sought to use deep learning to study the biology of SARS-CoV-2…

机器学习 · 计算机科学 2020-12-16 Arijit Sehanobish , Neal G. Ravindra , David van Dijk

The abundance of literature related to the widespread COVID-19 pandemic is beyond manual inspection of a single expert. Development of systems, capable of automatically processing tens of thousands of scientific publications with the aim to…

计算与语言 · 计算机科学 2020-11-11 Matej Martinc , Blaž Škrlj , Sergej Pirkmajer , Nada Lavrač , Bojan Cestnik , Martin Marzidovšek , Senja Pollak

The novel coronavirus (SARS-CoV-2) has led to a pandemic. The current testing regime based on Reverse Transcription-Polymerase Chain Reaction for SARS-CoV-2 has been unable to keep up with testing demands, and also suffers from a relatively…

The coronavirus disease (COVID-19) has claimed the lives of over 350,000 people and infected more than 6 million people worldwide. Several search engines have surfaced to provide researchers with additional tools to find and retrieve…

The coronavirus disease (COVID-19) has resulted in a pandemic crippling the a breadth of services critical to daily life. Segmentation of lung infections in computerized tomography (CT) slices could be be used to improve diagnosis and…

计算机视觉与模式识别 · 计算机科学 2020-08-25 Aritra Chowdhury , Alberto Santamaria-Pang , James R. Kubricht , Jianwei Qiu , Peter Tu

COVID-19 (coronavirus disease 2019) pandemic caused by SARS-CoV-2 has led to a treacherous and devastating catastrophe for humanity. At the time of writing, no specific antivirus drugs or vaccines are recommended to control infection…

机器学习 · 计算机科学 2020-10-13 Ankit Pal , Malaikannan Sankarasubbu

Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. It was first identified in Wuhan, China, and has since spread causing a global pandemic. Various studies have been performed to understand the…

The Coronavirus (COVID-19), which is an infectious pulmonary disorder, has affected millions of people and has been declared as a global pandemic by the WHO. Due to highly contagious nature of COVID-19 and its high possibility of causing…

图像与视频处理 · 电气工程与系统科学 2021-11-02 Hamza Osman Ilhan , Gorkem Serbes , Nizamettin Aydin

Given the severity of the SARS-CoV-2 pandemic, a major challenge is to rapidly repurpose existing approved drugs for clinical interventions. While a number of data-driven and experimental approaches have been suggested in the context of…

Objective: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a system to streamline the process of curating colloquial…

计算与语言 · 计算机科学 2024-03-19 Yining Hua , Jiageng Wu , Shixu Lin , Minghui Li , Yujie Zhang , Dinah Foer , Siwen Wang , Peilin Zhou , Jie Yang , Li Zhou

The COVID-19 pandemic triggered a wave of novel scientific literature that is impossible to inspect and study in a reasonable time frame manually. Current machine learning methods offer to project such body of literature into the vector…

信息检索 · 计算机科学 2021-10-19 Blaž Škrlj , Marko Jukič , Nika Eržen , Senja Pollak , Nada Lavrač

We demonstrate use of iteratively pruned deep learning model ensembles for detecting pulmonary manifestation of COVID-19 with chest X-rays. This disease is caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)…

图像与视频处理 · 电气工程与系统科学 2021-03-08 Sivaramakrishnan Rajaraman , Jen Siegelman , Philip O. Alderson , Lucas S. Folio , Les R. Folio , Sameer K. Antani

We are presenting COVID-19Base, a knowledgebase highlighting the biomedical entities related to COVID-19 disease based on literature mining. To develop COVID-19Base, we mine the information from publicly available scientific literature and…

Understanding the temporal dynamics of COVID-19 patient phenotypes is necessary to derive fine-grained resolution of pathophysiology. Here we use state-of-the-art deep neural networks over an institution-wide machine intelligence platform…

In the last few months, the novel COVID19 pandemic has spread all over the world. Due to its easy transmission, developing techniques to accurately and easily identify the presence of COVID19 and distinguish it from other forms of flu and…

图像与视频处理 · 电气工程与系统科学 2020-04-01 Muhammad Farooq , Abdul Hafeez

The COVID-19 pandemic has put immense pressure on health systems which are further strained due to the misinformation surrounding it. Under such a situation, providing the right information at the right time is crucial. There is a growing…

计算与语言 · 计算机科学 2020-11-02 Ridam Pal , Rohan Pandey , Vaibhav Gautam , Kanav Bhagat , Tavpritesh Sethi

COVID-19 is an infection caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus 2), which has caused a global outbreak. Current research efforts are focused on the understanding of the molecular mechanisms involved in…

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