A5065629281- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Traumatic Ocular and Foreign Body Injuries
- COVID-19 diagnosis using AI
- Advanced X-ray and CT Imaging
- Radiology practices and education
- Autopsy Techniques and Outcomes
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Medical Imaging and Pathology Studies
- Infectious Diseases and Tuberculosis
- Disaster Response and Management
- Pleural and Pulmonary Diseases
- Tuberculosis Research and Epidemiology
- Trauma Management and Diagnosis
- Lung Cancer Diagnosis and Treatment
- Bladder and Urothelial Cancer Treatments
- Artificial Intelligence in Healthcare and Education
- Immunodeficiency and Autoimmune Disorders
- Traumatic Brain Injury and Neurovascular Disturbances
- Digital Radiography and Breast Imaging
- Shoulder Injury and Treatment
- Tracheal and airway disorders
- Amoebic Infections and Treatments
- Advanced Radiotherapy Techniques
Moffitt Cancer Center
2022-2024
George Washington University Hospital
2021-2023
National Institutes of Health Clinical Center
2014-2023
University of South Florida
2023
The Ohio State University
2021
National Cancer Institute
2015-2021
National Institutes of Health
2011-2021
National Institute of Allergy and Infectious Diseases
2018
United States National Library of Medicine
2018
Bellingham Technical College
2018
Cytotoxic T lymphocyte antigen-4 (CTLA-4) is an inhibitory receptor found on immune cells. The consequences of mutations in CTLA4 humans are unknown. We identified germline heterozygous subjects with severe dysregulation from four unrelated families. Whereas Ctla4 mice have no obvious phenotype, human haploinsufficiency caused FoxP3(+) regulatory (Treg) cells, hyperactivation effector and lymphocytic infiltration target organs. Patients also exhibited progressive loss circulating B...
Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The potential applications are vast and include the entirety of imaging life cycle from image creation diagnosis outcome prediction. chief obstacles development clinical implementation AI algorithms availability sufficiently large, curated, representative training data that includes expert labeling (eg, annotations). Current supervised methods require a curation process for optimally train, validate,...
BACKGROUND. Monogenic IFN–mediated autoinflammatory diseases present in infancy with systemic inflammation, an IFN response gene signature, inflammatory organ damage, and high mortality. We used the JAK inhibitor baricitinib, IFN-blocking activity vitro, to ameliorate disease.
We demonstrate use of iteratively pruned deep learning model ensembles for detecting pulmonary manifestation COVID-19 with chest X-rays. This disease is caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus, also known as (2019-nCoV). A custom convolutional neural network and a selection ImageNet pretrained models are trained evaluated at patient-level on publicly available CXR collections to learn modality-specific feature representations. The learned...
Purpose To evaluate the performance of a prototype photon-counting detector (PCD) computed tomography (CT) system for abdominal CT in humans and to compare results with conventional energy-integrating (EID). Materials Methods The study was HIPAA-compliant institutional review board–approved informed consent. Fifteen asymptomatic volunteers (seven men; mean age, 58.2 years ± 9.8 [standard deviation]) were prospectively enrolled between September 2 November 13, 2015. Radiation dose–matched...
Rationale: Treatment of pulmonary nontuberculous mycobacteria, especially Mycobacterium abscessus, requires prolonged, multidrug regimens with high toxicity and suboptimal efficacy. Options for refractory disease are limited.Objectives: We reviewed the efficacy inhaled amikacin in patients treatment-refractory mycobacterial lung disease.Methods: Records were queried to identify who had added failing regimens. Lower airway microbiology, symptoms, computed tomography scan changes assessed...
Studies of monogenic gastrointestinal diseases have revealed molecular pathways critical to gut homeostasis and enabled the development targeted therapies.
Purpose To investigate whether photon-counting detector (PCD) technology can improve dose-reduced chest computed tomography (CT) image quality compared with that attained conventional energy-integrating (EID) in vivo. Materials and Methods This was a HIPAA-compliant institutional review board-approved study, informed consent from patients. Dose-reduced spiral unenhanced lung EID PCD CT examinations were performed 30 asymptomatic volunteers accordance manufacturer-recommended guidelines for...
We developed computational methods and tools to assess organ doses for pediatric adult patients undergoing computed tomography (CT) examinations. used the International Commission on Radiological Protection (ICRP) reference phantoms combined with Monte Carlo simulation of a CT scanner establish comprehensive dose coefficients (DC), absorbed per unit volumetric Dose Index (CTDIvol) (mGy/mGy). also estimate tube current modulation techniques size specific estimates. A graphical user interface...
To evaluate the feasibility of using a whole-body photon-counting detector (PCD) CT scanner for low-dose lung cancer screening compared to conventional energy integrating (EID) system. Radiation dose-matched EID and PCD scans COPDGene 2 phantom were acquired at different radiation dose levels (CTDIvol: 3.0, 1.5, 0.75 mGy) tube voltages (120, 100, 80 kVp). images quantitative Hounsfield unit (HU) accuracy, noise levels, contrast-to-noise ratios (CNR) detection ground-glass nodules (GGN)...
X-linked immunodeficiency with magnesium defect, EBV infection, and neoplasia (XMEN) disease are caused by deficiency of the transporter 1 (MAGT1) gene. We studied 23 patients XMEN, 8 whom were naive. observed lymphadenopathy (LAD), cytopenias, liver disease, cavum septum pellucidum (CSP), increased CD4-CD8-B220-TCRαβ+ T cells (αβDNTs), in addition to previously described features an inverted CD4/CD8 ratio, CD4+ lymphocytopenia, B cells, dysgammaglobulinemia, decreased expression natural...
Previous phase 1 and 2 trials of PANVAC, a poxviral-based cancer vaccine, have suggested clinical efficacy in some patients with breast, ovarian, colorectal shown evidence immunologic activity. Preclinical data that docetaxel can modify tumor phenotype, making cells more amenable to T cell-mediated killing.The goal this study was determine if the treatment combination PANVAC improves outcomes metastatic breast compared alone.Between May 2006 February 2012, open-label, randomized trial...
Tuberculosis (TB) is a major global health threat. An estimated one-third of the world's population has history TB infection, and millions new infections are occurring every year. The advent powerful hardware software techniques triggered attempts to develop computer-aided diagnostic systems for detection in support inexpensive mass screening developing countries. In this paper, we describe medical background chest X-rays present survey recent approaches using detection. After thorough...
Tertiary referral center, National Institutes of Health (NIH), USA.To estimate the mortality rate and its correlates among persons with pulmonary non-tuberculous mycobacteria (PNTM) disease.A retrospective review 106 patients who were treated at NIH Clinical Center met American Thoracic Society/Infectious Diseases Society America criteria for PNTM. Eligible aged ⩾18 years did not have cystic fibrosis or human immunodeficiency virus (HIV) infection.Of followed a median 4.9 years, 27 (25%)...
Autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED), a monogenic disorder caused by
Data-driven deep learning (DL) methods using convolutional neural networks (CNNs) demonstrate promising performance in natural image computer vision tasks. However, their use medical tasks faces several limitations, viz., (i) adapting to visual characteristics that are unlike images; (ii) modeling random noise during training due stochastic optimization and backpropagation-based strategy; (iii) challenges explaining DL black-box behavior support clinical decision-making; (iv) inter-reader...