A5079185252- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Glioma Diagnosis and Treatment
- COVID-19 epidemiological studies
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- Palliative Care and End-of-Life Issues
- Urological Disorders and Treatments
- Breast Lesions and Carcinomas
- Intensive Care Unit Cognitive Disorders
- Venous Thromboembolism Diagnosis and Management
- Community Health and Development
- Radiation Dose and Imaging
- Family and Patient Care in Intensive Care Units
- Advanced X-ray and CT Imaging
- Angiogenesis and VEGF in Cancer
- Pediatric Urology and Nephrology Studies
- Advanced MRI Techniques and Applications
- Early Childhood Education and Development
- Blood donation and transfusion practices
- Ultrasound in Clinical Applications
- Breast Cancer Treatment Studies
- Statistical Methods and Bayesian Inference
- Telemedicine and Telehealth Implementation
- Herpesvirus Infections and Treatments
Digital Research Alliance of Canada
2025
University of Minnesota
2023-2024
Montfort Hospital
2024
Rush University
2023
University of Iowa
2018-2022
University of Calgary
2022
University of Iowa Hospitals and Clinics
2021
MedStar Georgetown University Hospital
2017
Georgetown University
2017
Victoria Hospital
2011
Abstract Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and intracranial metastatic disease (IMD). However, the effect different tumor masks, comparison single versus multiparametric MRI (mp-MRI) or select combination sequences remains undefined. We cross-compared multiple machine learning (ML) models using mp-MRI to determine optimized configurations. Our retrospective study included 60 GBM IMD patients. Forty-five combinations ML feature reduction...
Children with specific language impairment (SLI) show particular deficits in the generation of sequenced action: quintessential procedural task. Practiced imitation a sequence may become rote and require reduced memory. This study explored whether speech motor children SLI occur generally or only conditions high linguistic load, diminish practice, it is beneficial to incorporate load understand production.
To evaluate the diagnostic performance of multiple machine learning classifier models derived from first-order histogram texture parameters extracted T1-weighted contrast-enhanced images in differentiating glioblastoma and primary central nervous system lymphoma.Retrospective study with 97 46 lymphoma patients. Thirty-six different combinations feature selection techniques were evaluated. Five-fold nested cross-validation was performed. Model assessed for whole tumour largest single slice...
Magnetic resonance texture analysis (MRTA) is a relatively new technique that can be valuable addition to clinical and imaging parameters in predicting prognosis. In the present study, we investigated efficacy of MRTA for glioblastoma survival using T1 contrast-enhanced (CE) images analysis.We evaluated diagnostic performance multiple machine learning models based on first-order histogram statistical derived from T1-weighted CE stratification multiforme (GBM). Retrospective evaluation 85...
Prior radiomics studies have focused on two-class brain tumor classification, which limits generalizability. The performance of in differentiating the three most common malignant tumors (glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and metastatic disease) is assessed; factors affecting model usefulness a single sequence versus multiparametric MRI (MP-MRI) remain largely unaddressed. This retrospective study included 253 patients (120 (lung brain), 40 PCNSL, 93 GBM)....
For many infectious disease outbreaks, the at-risk population changes their behavior in response to outbreak severity, causing transmission dynamics change real-time. Behavioral is often ignored epidemic modeling efforts, making these models less useful than they could be. We address this by introducing a novel class of data-driven which characterize and accurately estimate behavioral change. Our proposed model allows time-varying be captured level "alarm" population, with alarm specified as...
Abstract Side experiments are performed on radiomics models to improve their reproducibility. We measure the impact of myocardial masks, radiomic side and data augmentation for information transfer (DAFIT) approach differentiate patients with without pulmonary hypertension (PH) using cardiac MRI (CMRI) derived radiomics. Feature extraction was from left ventricle (LV) right (RV) masks CMRI in 82 (42 PH 40 controls). Various study were evaluated: Original intraclass correlation (ICC)...
Abstract Background Rejection of care (RoC) occurs when persons living with dementia (PLWD) withstand or oppose the efforts their caregiver. Improvements in hospital are needed, and one way to address this need is by identifying factors that lead RoC, particularly those modifiable. Elderspeak communication an established antecedent RoC among PLWD nursing homes. The purpose study was extend these results acute settings determining impact elderspeak staff on hospitalized PLWD. Methods Care...
To evaluate the impact of hearing screening, diagnosis, and early intervention (EI) by 3 months or 6 age on language growth trajectories for children with loss (HL) relative to normal (NH).
Mycoplasma bovis outbreaks in cattle, including pathogen spread between age groups, are not well understood. Our objective was to estimate within-herd transmission across adult dairy cows, youngstock, and calves. Results from 3 tests (PCR, ELISA, culture) per cow 2 (PCR ELISA) youngstock calf were used an age-stratified susceptible-infected-removed/recovered (SIR) model parameters, pathways, potential effects of farm management practices. A cohort calves on 20 Dutch farms with a clinical...
To compare the computed tomography perfusion (CTP) outcomes derived from two commercial CTP processing software and evaluate their concordance in terms of eligibility for mechanical thrombectomy (MT) acute ischemic stroke (AIS), based on DEFUSE III criteria.
CD36 expression in both immune and non-immune cells is known to be directly involved cancer metastasis. Extracellular vesicles (EVs) secreted by malignant melanocytes play a vital role developing tumor-promoting microenvironments, but it unclear whether this mediated through CD36. To understand the of melanoma, we first analyzed SKCM dataset for clinical prognosis, evaluated percentage lymphatic fluid-derived EVs (LEVs), tested melanoma-derived increase induce M2-macrophage-like...
Abstract Background and Objectives Rejection of care is common in hospitalized persons living with dementia. However, distinguishing between rejection behaviors related to practices or other causes, such as pain delirium, challenging. The purpose this study further understand the relationship delirium patients dementia by identifying which are associated delirium. Research Design Methods Care encounters (n = 16) nursing staff 53) were observed on 88 separate occasions across 35 days. was...
The role of reliable, non-invasive imaging-based recognition pulmonary hypertension (PH) remains a diagnostic challenge. aim the current pilot radiomics study was to assess performance cardiac MRI (cMRI)-based texture features accurately predict PH. involved IRB-approved retrospective analysis cMRIs from 72 patients (42 PH and 30 healthy controls) for primary analysis. A subgroup performed including group with left ventricle ejection fraction ≥ 50%. Texture were generated mid-left myocardium...
Background Accountable Communities of Health (ACH) models have been popularized through Center for Medicare and Medicaid Innovation (CMMI) grants, including the State Model (SIM), to encourage development community-based coalitions across medical, public health, social service delivery systems. These enhance care coordination patients are better equipped address Social Determinants (SDH) needs. Methods Network data was collected from participating organizations in seven ACH sites established...
Abstract Background: Neuropilin 2 (NRP2) is a co-receptor that enhances signaling of growth factor and cytokine receptors expressed in tumor microenvironment (TME) cells melanoma other tumors. expression associated with more aggressive Expression macrophages efferocytosis immunologically silent cell death. Methods: Whole excisional lymph node biopsies were obtained from 10 treatment naïve patients metastatic cutaneous who subsequently received anti-PD1 treatment. A single 5mm formalin-fixed...