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相关论文: Drugs4Covid: Drug-driven Knowledge Exploitation ba…

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Researchers worldwide are seeking to repurpose existing drugs or discover new drugs to counter the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A promising source of candidates for such studies is…

计算与语言 · 计算机科学 2021-01-13 Zhi Hong , J. Gregory Pauloski , Logan Ward , Kyle Chard , Ben Blaiszik , Ian Foster

In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by drug-drug interactions among COVID-19 treatments and…

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and…

Since the beginning of COVID pandemic, there have been around 700000 scientific papers published on the subject. A human researcher cannot possibly get acquainted with such a huge text corpus -- and therefore developing AI-based tools to…

计算与语言 · 计算机科学 2021-11-01 Dmitry Soshnikov , Vickie Soshnikova

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 COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval…

Timely access to accurate scientific literature in the battle with the ongoing COVID-19 pandemic is critical. This unprecedented public health risk has motivated research towards understanding the disease in general, identifying drugs to…

Scientific literature tends to grow as a function of funding and interest in a given field. Mining such literature can reveal trends that may not be immediately apparent. The CORD-19 corpus represents a growing corpus of scientific…

其他定量生物学 · 定量生物学 2021-01-29 James Powell , Kari Sentz

The emergence of the novel COVID-19 pandemic has had a significant impact on global healthcare and the economy over the past few months. The virus's rapid widespread has led to a proliferation in biomedical research addressing the pandemic…

人工智能 · 计算机科学 2020-07-21 Chongyan Chen , Islam Akef Ebeid , Yi Bu , Ying Ding

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

Objective: To discover candidate drugs to repurpose for COVID-19 using literature-derived knowledge and knowledge graph completion methods. Methods: We propose a novel, integrative, and neural network-based literature-based discovery (LBD)…

计算与语言 · 计算机科学 2021-02-10 Rui Zhang , Dimitar Hristovski , Dalton Schutte , Andrej Kastrin , Marcelo Fiszman , Halil Kilicoglu

Objective: This study aims to consider small graphs of concepts and exploit them for expressing graph searches over existing COVID-19-related literature, leveraging the increasing use of graphs to represent and query scientific knowledge…

信息检索 · 计算机科学 2024-06-25 Francesco Invernici , Anna Bernasconi , Stefano Ceri

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of important knowledge. In biomedicine, this directly impacts…

Currently, the number of patients with COVID-19 has significantly increased. Thus, there is an urgent need for developing treatments for COVID-19. Drug repurposing, which is the process of reusing already-approved drugs for new medical…

定量方法 · 定量生物学 2020-08-13 Yonghyun Nam , Jae-Seung Yun , Seung Mi Lee , Ji Won Park , Ziqi Chen , Brian Lee , Anurag Verma , Xia Ning , Li Shen , Dokyoon Kim

COVID-19 is one of the most important topic these days, specifically on search engines and news. While fake news are easily shared, scientific papers are reliable sources where information can be extracted. With about 24,000 scientific…

数字图书馆 · 计算机科学 2020-05-04 Bernard Dousset , Josiane Mothe

There have been more than 850,000 confirmed cases and over 48,000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), in the United States alone.…

定量方法 · 定量生物学 2020-05-25 Xiangxiang Zeng , Xiang Song , Tengfei Ma , Xiaoqin Pan , Yadi Zhou , Yuan Hou , Zheng Zhang , George Karypis , Feixiong Cheng

A COVID-19 pandemic has already proven itself to be a global challenge. It proves how vulnerable humanity can be. It has also mobilized researchers from different sciences and different countries in the search for a way to fight this…

信息检索 · 计算机科学 2020-04-08 Iztok Fister , Karin Fister , Iztok Fister

Since the classification of COVID-19 as a global pandemic, there have been many attempts to treat and contain the virus. Although there is no specific antiviral treatment recommended for COVID-19, there are several drugs that can…

信息检索 · 计算机科学 2020-10-12 Ramya Tekumalla , Juan M. Banda

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

Amid the pandemic of 2019 novel coronavirus disease (COVID-19) infected by SARS-CoV-2, a vast amount of drug research for prevention and treatment has been quickly conducted, but these efforts have been unsuccessful thus far. Our objective…

定量方法 · 定量生物学 2022-02-03 Kanglin Hsieh , Yinyin Wang , Luyao Chen , Zhongming Zhao , Sean Savitz , Xiaoqian Jiang , Jing Tang , Yejin Kim
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