Delaney Smith

ORCID: 0000-0001-8367-880X
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About
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Research Areas
  • Ultrasound in Clinical Applications
  • Hormonal Regulation and Hypertension
  • Renin-Angiotensin System Studies
  • Radiation Dose and Imaging
  • Lung Cancer Diagnosis and Treatment
  • Radiology practices and education
  • Receptor Mechanisms and Signaling
  • Adolescent and Pediatric Healthcare
  • Adenosine and Purinergic Signaling
  • Ultrasound and Hyperthermia Applications
  • Pharmacogenetics and Drug Metabolism
  • Bipolar Disorder and Treatment
  • Epigenetics and DNA Methylation
  • Diabetes Treatment and Management
  • Cardiovascular Issues in Pregnancy
  • Sex and Gender in Healthcare
  • Stress Responses and Cortisol
  • Apelin-related biomedical research
  • Advanced X-ray and CT Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Reproductive System and Pregnancy

University of Waterloo
2021-2025

Lawson Health Research Institute
2024

Applied Mathematics (United States)
2022

McGill University
2021

Deep learning (DL) models for medical image classification frequently struggle to generalize data from outside institutions. Additional clinical are also rarely collected comprehensively assess and understand model performance amongst subgroups. Following the development of a single-center identify lung sliding artifact on ultrasound (LUS), we pursued validation strategy using external LUS data. As annotated relatively scarce—compared other imaging data—we adopted novel technique optimize...

10.3390/diagnostics14111081 article EN cc-by Diagnostics 2024-05-22

The P2 purinergic receptor family implicated in many physiological processes, including neurotransmission, mechanical adaptation and inflammation, consists of ATP-gated non-specific cation channels P2XRs G-protein coupled receptors P2YRs. Different cells, bone forming osteoblasts, express multiple receptors; however, how P2X P2Y interact generating cellular responses to various doses [ATP] remains poorly understood. Using primary marrow compact derived osteoblasts BMP2-expressing C2C12...

10.1371/journal.pcbi.1008872 article EN cc-by PLoS Computational Biology 2021-06-21

OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment deep learning (DL) model capable distinguishing between normal (A line pattern) and abnormal (B lung parenchyma on ultrasound (LUS) in critically ill patients. DESIGN: Prospective, observational study evaluating performance previously trained LUS DL model. Enrolled patients received examination with simultaneous predictions using portable device. Clip-level were analyzed compared blinded expert review for A versus B...

10.1097/ccm.0000000000005759 article EN Critical Care Medicine 2023-01-20

Annotating large medical imaging datasets is an arduous and expensive task, especially when the in question are not organized according to deep learning goals. Here, we propose a method that exploits hierarchical organization of annotating tasks optimize efficiency. We trained machine model accurately distinguish between one two classes lung ultrasound (LUS) views using 2908 clips from larger dataset. Partitioning remaining dataset by view would reduce downstream labelling efforts enabling...

10.3390/diagnostics12102351 article EN cc-by Diagnostics 2022-09-28

10.26226/m.655b429a7f56140019e404f9 preprint EN 2024-01-31

1 Abstract P2 purinergic receptor family implicated in many physiological processes, including neurotransmission, mechanical adaptation and inflammation, consist of ATP-gated non-specific cation channels P2XRs G-protein coupled receptors P2YRs. Different cells, bone forming osteoblasts, express multiple receptors; however, how P2X P2Y interact generating cellular responses to various doses [ATP] remains poorly understood. Using primary marrow compact derived osteoblasts BMP2-expressing C2C12...

10.1101/2021.03.16.435624 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-03-16

Abstract The renin-angiotensin system (RAS) plays a pivotal role in the maintenance of volume homeostasis and blood pressure. In addition to well-studied systemic RAS, local RAS have been documented various tissues, including kidney. Given intrarenal pathogenesis hypertension, established via pharmacologic genetic studies, substantial efforts made unravel processes that govern activity. particular, several mechanisms proposed explain rise angiotensin II (Ang II) accompanies Ang infusion,...

10.1101/2021.12.14.472639 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2021-12-16

Abstract The renin-angiotensin system (RAS) is a primary regulator of volume homeostasis and blood pressure, whose over-activation commonly associated with hypertension. Indeed, medications that target the RAS are generally effective in reducing pressure. However, more can be learned about how these influence intrarenal RAS. Angiotensin-receptor blockers (ARBs) particular have been shown to exert different effects on systemic RASs various experimental models In rats chronically infused...

10.1101/2023.07.13.548848 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-07-15

The kidney expresses all and independently regulates most elements of the renin-angiotensin system (RAS). Importantly, inappropriate activation intrarenal RAS, as indicated by local accumulation angiotensin II (Ang II), has been linked to Ang II-induced hypertension. Various type 1 receptor (AT1R)-dependent positive feedback systems have documented in literature. However, their functional importance overactivation RAS yet be lineated. goal this study is identify key mechanisms actuating...

10.1096/fasebj.2022.36.s1.r3777 article EN The FASEB Journal 2022-05-01

Introduction: Lung ultrasound (LUS) shows diagnostic superiority to chest radiography in the ICU setting however its widespread deployment is challenged by limited user base and dependence on clinical expertise. Artificial intelligence models have been developed overcome these barriers through LUS automation; however, bedside pragmatic performance has never demonstrated. In this study, we aimed evaluate accuracy of a bedside, real-time deep learning model capable distinguishing between...

10.1097/01.ccm.0000906084.96293.1b article EN Critical Care Medicine 2022-12-15
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