Results 91 to 100 of about 662,113 (303)

A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data

open access: yesDiagnostics
The premise for this study emanated from the need to understand SARS-CoV-2 infections at the molecular level and to develop predictive tools for managing COVID-19 severity. With the varied clinical outcomes observed among infected individuals, creating a
Sahil Sethi   +4 more
doaj   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

open access: yesFEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth   +6 more
wiley   +1 more source

Single‐Cell Transcriptomic Atlas of Peripheral Blood Reveals B‐Cell‐Driven Signature Predictive of Acute Pancreatitis Severity

open access: yesMedComm
Effective early prediction of acute pancreatitis (AP) severity remains an unmet clinical need due to limited molecular characterization of systemic immune responses. We performed integrated single‐cell RNA sequencing with T‐ and B‐cell receptor profiling
Rongli Xie   +13 more
doaj   +1 more source

Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography

open access: yesIEEE Access, 2019
Diabetic retinopathy (DR) diagnosis methods in the literature are usually criticized as being limit in diagnosing DR-related features or being lack of interpretability. To deal with these issues, this paper investigates the feasibility of diagnosing both
Juan Wang, Yujing Bai, Bin Xia
doaj   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Modeling the Severity and Clinical Course of Rotavirus Diarrhea in Children

open access: yesAktualʹnaâ Infektologiâ, 2014
We observed 3607 children aged from 9 days to 5 years with a diagnosis of acute gastroenteritis and acute gastroenterocolitis. Diarrheal syndrome was observed in 97.4 % of cases, vomiting — in 87.2 %, catarrhal phenomena — in 64.8 %. Diseases in children
Yu.P. Kharchenko   +4 more
doaj   +1 more source

Preliminary study of thermomechanical fatigue of polycrystalline MAR-M 200 [PDF]

open access: yes
Thermomechanical fatigue (TMF) experiments were conducted on polycrystalline MAR-M 200 over a cyclic temperature range of 500 to 1000 C. Inelastic strain ranges of 0.03 to 0.2 percent were imposed on the specimens.
Bill, R. C.   +3 more
core   +1 more source

Predicting exacerbations in severe preschool wheezers

open access: yesPediatric Pulmonology
AbstractSimple clinical indices, complex composite phenotyping/endotyping and telehome monitoring now allow us to evaluate the risk of preschool wheezing on a population or individual level. We herein discuss the usefulness of clinical markers which involve underlying issues such as in utero smoke exposure, the pathophysiology of viral‐immunological ...
Fayon, Michael, Beaufils, Fabien
openaire   +2 more sources

Prediction of Brain Damage Severity: Demographic Corrections [PDF]

open access: yesInternational Journal of Neuroscience, 1998
This study investigated the value of using age and education corrections to the Alternative Impairment Index (AII), to predict the severity of brain damage on the General Neuropsychological Deficit Score (GNDS) and the Halstead Impairment Index (HII). A sample of 40 normal, psychiatric and brain-damaged subjects who had been administered the HRNTB was ...
openaire   +2 more sources

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

open access: yesFEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani   +6 more
wiley   +1 more source

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