Results 1 to 10 of about 721,383 (379)
Monomeric C-reactive protein as a therapeutic target in inflammatory diseases [PDF]
Chitose Fujita +3 more
doaj +2 more sources
Biologically Informed Clot Histomics Are Predictive of Acute Ischemic Stroke Etiology
Background Toward development of diagnostics for cryptogenic stroke, we hypothesize that histomic features of stroke blood clots retrieved by mechanical thrombectomy could be used to delineate stroke etiology.
Tatsat R. Patel +12 more
doaj +1 more source
“All that You Touch, You Change”: Expanding the Canon of Speculative Design Towards Black Futuring
Traditional approaches to technology design have historically ignored Blackness in both who engages and conceptualizes future technologies. Design contributions of groups marginalized along race and class are often othered, and rarely considered the ...
Christina N. Harrington +2 more
semanticscholar +1 more source
IntroductionThrombolysis treatment for acute ischaemic stroke can lead to better outcomes if administered early enough. However, contraindications exist which put the patient at greater risk of a bleed (e.g. recent major surgery, anticoagulant medication)
Murray Cutforth +13 more
doaj +1 more source
Reconsidering the Dispositional Essentialist Canon
Dispositional Essentialism is a unified anti-Humean account of the metaphysics of low-level physical properties and laws of nature. In this paper, I articulate the view that I label Canonical Dispositional Essentialism (CDE), which comprises a ...
Samuel Kimpton-Nye
semanticscholar +1 more source
Background Vascular geometry plays an important role in stroke thrombectomy outcomes, but few studies have examined complex characteristics of vessel morphology.
Seyyed Mostafa Mousavi Janbeh Sarayi +8 more
doaj +1 more source
Changes in blood flow can induce arterial remodeling. Intimal cells sense flow and send signals to the media to initiate remodeling. However, the nature of such intima-media signaling is not fully understood.
John Kolega +7 more
doaj +1 more source
Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports
Training medical image analysis models traditionally requires large amounts of expertly annotated imaging data which is time-consuming and expensive to obtain. One solution is to automatically extract scan-level labels from radiology reports. Previously,
Patrick Schrempf +7 more
doaj +1 more source

