OmicsDI
Toggle navigation
Browse
Submit Data
Databases
API
Advanced
Search
13
Results
Show all
Save search
Copy query
Show results for
Unknown
(13)
Publication Date
Release Date
2023
(5)
2025
(2)
2022
(2)
2024
(1)
2021
(1)
2017
(1)
2012
(1)
Previous
page
1 / 2
You're on page
1
page
2
Next
page
Sort
by:
Relevance
Page size
10
Validity of high-sensitivity C-reactive protein versus DAD equation for cardiovascular risk assessment in people living with HIV in Nigeria.
Not available
S-EPMC12323050
|
biostudies-literature
Cite
COVID-19 vaccine hesitancy among people living with HIV in a low-resource setting: A multi-center study of prevalence, correlates and reasons.
Not available
S-EPMC9946883
|
biostudies-literature
Cite
The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019.
Not available
S-EPMC9395583
|
biostudies-literature
Cite
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19.
Not available
S-EPMC9339000
|
biostudies-literature
Cite
Effect of early tranexamic acid administration on mortality, hysterectomy, and other morbidities in women with post-partum haemorrhage (WOMAN): an international, randomised, double-blind, placebo-controlled trial.
Not available
S-EPMC5446563
|
biostudies-literature
Cite
Using CSF biomarkers to replicate genetic associations in Alzheimer's disease.
Not available
S-EPMC3150628
|
biostudies-literature
Cite
Add-On Treatment With Zilebesiran for Inadequately Controlled Hypertension: The KARDIA-2 Randomized Clinical Trial.
Not available
S-EPMC12120674
|
biostudies-literature
Cite
Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19.
Not available
S-EPMC10114094
|
biostudies-literature
Cite
Association of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19.
Not available
S-EPMC10219675
|
biostudies-literature
Cite
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
Not available
S-EPMC11252333
|
biostudies-literature
Cite
Previous
page
1 / 2
You're on page
1
page
2
Next
page
Sort
by:
Relevance
Page size
10
OmicsDI
is part of the ELIXIR infrastructure
OmicsDI is an Elixir interoperability service.
Learn more ›
Tweets