OmicsDI
Toggle navigation
Browse
Submit Data
Databases
API
Advanced
Search
12
Results
Show all
Save search
Copy query
Show results for
Unknown
(12)
Publication Date
Release Date
2023
(3)
2021
(3)
2025
(2)
2020
(2)
2024
(1)
2022
(1)
Previous
page
1 / 2
You're on page
1
page
2
Next
page
Sort
by:
Relevance
Page size
10
Adipose-derived mesenchymal stem cells for the treatment of Amyotrophic Lateral Sclerosis. A phase I/II safety and efficacy clinical trial.
Not available
S-EPMC12540107
|
biostudies-literature
Cite
Clinical Predictive Model of Multidrug Resistance in Neutropenic Cancer Patients with Bloodstream Infection Due to Pseudomonas aeruginosa.
Not available
S-EPMC7179320
|
biostudies-literature
Cite
Identification and validation of clinical phenotypes with prognostic implications in patients admitted to hospital with COVID-19: a multicentre cohort study.
Not available
S-EPMC7906623
|
biostudies-literature
Cite
Characteristics and predictors of death among 4035 consecutively hospitalized patients with COVID-19 in Spain.
Not available
S-EPMC7399713
|
biostudies-literature
Cite
Development and validation of a prediction model for 30-day mortality in hospitalised patients with COVID-19: the COVID-19 SEIMC score.
Not available
S-EPMC7908055
|
biostudies-literature
Cite
The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients.
Not available
S-EPMC8436582
|
biostudies-literature
Cite
Remdesivir and survival outcomes in critically ill patients with COVID-19: A multicentre observational cohort study.
Not available
S-EPMC9804970
|
biostudies-literature
Cite
Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort.
Not available
S-EPMC10958830
|
biostudies-literature
Cite
Procalcitonin and C-reactive protein to rule out early bacterial coinfection in COVID-19 critically ill patients.
Not available
S-EPMC10425511
|
biostudies-literature
Cite
Major candidate variables to guide personalised treatment with steroids in critically ill patients with COVID-19: CIBERESUCICOVID study.
Not available
S-EPMC9211796
|
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