Results 251 to 260 of about 10,813,555 (336)
The impact of the COVID-19 pandemic on ST-segment elevation myocardial infarction treatment strategy and outcomes. [PDF]
Bychowski J+4 more
europepmc +1 more source
The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type
ABSTRACT Objective Determine the association between diabetes and metabolic syndrome (MetS) burden (number of MetS criteria fulfilled) and pain, neuropathy severity, and fiber type involvement in individuals with established polyneuropathy. Methods The Peripheral Neuropathy Research Registry was queried for individuals with type 1 and type 2 diabetes ...
Long Davalos+13 more
wiley +1 more source
Corrigendum: Impact of cerebrovascular stroke on inflammatory periodontal indices: a systematic review with meta-analysis and trial sequential analysis of case-control studies. [PDF]
Dioguardi M+7 more
europepmc +1 more source
ABSTRACT Dopaminergic medication and deep brain stimulation (DBS) improve motor symptoms in Parkinson's disease (PD), but levodopa response alone may not predict DBS outcomes. We retrospectively analyzed 19 PD patients undergoing levodopa challenges with and without prior transcranial direct current stimulation targeting a defined PD response network ...
Lukas L. Goede+3 more
wiley +1 more source
On the Orchard crossing number of complete bipartite graphs
Elie Feder, David Garber
openalex +2 more sources
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau+12 more
wiley +1 more source
<i>Acacia koa</i> seedling disease tolerance and vigor driven by breeding orchard size. [PDF]
Fumia N+5 more
europepmc +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Deep learning classification of drainage crossings based on high-resolution DEM-derived geomorphological information. [PDF]
Edidem M+5 more
europepmc +1 more source