Results 111 to 120 of about 2,053,086 (306)

Epidemiologic Features and Environmental Risk Factors of Severe Fever with Thrombocytopenia Syndrome, Xinyang, China [PDF]

open access: yes, 2014
Background:Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease discovered in rural areas of Central China in 2009, caused by a novel bunyavirus ...
Cao, W.-C. (Wu-Chun)   +16 more
core   +4 more sources

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach [PDF]

open access: yesarXiv, 2020
The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly transmittable and pathogenic with no clinically approved antiviral drug or vaccine available for treatment. The most common symptoms of COVID-19 are dry cough, sore throat, and fever.
arxiv  

Emerg Infect Dis [PDF]

open access: yes
Severe fever with thrombocytopenia syndrome is an emerging hemorrhagic fever disease in eastern Asia, caused by a tickborne bunyavirus. Of 25 patients hospitalized with this disease in China, 100% produced and maintained neutralizing antibodies to severe

core   +3 more sources

Cranial ultrasound in neonatal brain infections

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Abstract Infection of the neonatal central nervous system (CNS) can cause irreversible brain damage. Cranial ultrasound is an important neuroimaging modality in the neonatal period for detecting brain injury. Several types of organism can cause neonatal CNS infection.
Roosmarijn G. Licht‐van der Stap   +26 more
wiley   +1 more source

Eculizumab is a safe and effective treatment in pediatric patients with atypical hemolytic uremic syndrome [PDF]

open access: yes, 2016
Atypical hemolytic uremic syndrome (aHUS) is caused by alternative complement pathway dysregulation, leading to systemic thrombotic microangiopathy (TMA) and severe end-organ damage.
Al-Akash, Samhar I   +14 more
core   +2 more sources

Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs [PDF]

open access: yesarXiv, 2023
Despite progress in automated fact-checking, most systems require a significant amount of labeled training data, which is expensive. In this paper, we propose a novel zero-shot method, which instead of operating directly on the claim and evidence sentences, decomposes them into semantic triples augmented using external knowledge graphs, and uses large ...
arxiv  

Therapeutic Strategies for Relapsed or Refractory B‐Cell Acute Lymphoblastic Leukemia in Adult Patients: Optimizing the Use of Monoclonal Antibodies

open access: yesEuropean Journal of Haematology, Volume 114, Issue 6, Page 938-952, June 2025.
ABSTRACT The treatment landscape for relapsed or refractory acute lymphoblastic leukemia (RR ALL) has evolved significantly with the introduction of monoclonal antibodies such as blinatumomab and inotuzumab ozogamicin. These agents have demonstrated remarkable efficacy, achieving high response rates and minimal residual disease (MRD) negativity ...
Antonella Bruzzese   +11 more
wiley   +1 more source

Rumpel-Leede phenomenon in a hypertensive patient due to mechanical trauma: a case report. [PDF]

open access: yes, 2016
In this report, we present an interesting case of a patient with Rumpel-Leede phenomenon, a rare occurrence that can result in significant delays in medical treatment. This phenomenon is characterized by the presence of a petechial rash that results from
Hartley, A, Hayat, SA, Lim, PB
core   +2 more sources

Increasing Trends of Guillain-Barré Syndrome (GBS) and Dengue in Hong Kong [PDF]

open access: yesarXiv, 2017
Background: Guillain-Barr\'e Syndrome (GBS) is a common type of severe acute paralytic neuropathy and associated with other virus infections such as dengue fever and Zika. This study investigate the relationship between GBS, dengue, local meteorological factors in Hong Kong and global climatic factors from January 2000 to June 2016.
arxiv  

Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network [PDF]

open access: yesarXiv, 2020
Herb recommendation plays a crucial role in the therapeutic process of Traditional Chinese Medicine(TCM), which aims to recommend a set of herbs to treat the symptoms of a patient. While several machine learning methods have been developed for herb recommendation, they are limited in modeling only the interactions between herbs and symptoms, and ...
arxiv  

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