Results 171 to 180 of about 2,363,981 (316)

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai   +28 more
wiley   +1 more source

Vaccination in infected children: a qualitative study of clinical decision-making. [PDF]

open access: yesPrim Health Care Res Dev
Tapci AE, Acarel E, Fidanci I, Tasar MA.
europepmc   +1 more source

Physician dropout

open access: yesAcademic Medicine, 1989
C Z, Margolis   +3 more
openaire   +3 more sources

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer   +14 more
wiley   +1 more source

How Often Do Oncologists Receive Industry Payments from Competing Companies? [PDF]

open access: yesOncologist
Keetley HM   +4 more
europepmc   +1 more source

Letters... [PDF]

open access: yes, 1982
Catholic Physicians\u27 Guild
core   +1 more source

Physician Fatigue [PDF]

open access: yesBaylor University Medical Center Proceedings, 2000
openaire   +2 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

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