A5052368010- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- COVID-19 Clinical Research Studies
- Diabetes and associated disorders
- Machine Learning in Healthcare
- Biomedical Text Mining and Ontologies
- Diabetes Management and Research
- COVID-19 and healthcare impacts
- Cardiac, Anesthesia and Surgical Outcomes
- Artificial Intelligence in Healthcare
- Cancer Immunotherapy and Biomarkers
- Research on Leishmaniasis Studies
- Pancreatitis Pathology and Treatment
- Trypanosoma species research and implications
- Cell Image Analysis Techniques
- Long-Term Effects of COVID-19
- Breast Cancer Treatment Studies
- Cardiac Arrest and Resuscitation
- Vascular Malformations Diagnosis and Treatment
- Diabetes Treatment and Management
- Digital Imaging for Blood Diseases
- Pain Management and Opioid Use
- PARP inhibition in cancer therapy
- Leptospirosis research and findings
- Optical Coatings and Gratings
United States Food and Drug Administration
2022-2024
Center for Devices and Radiological Health
2022-2024
Office of Science
2022-2024
New York Medical College
2022-2024
Stony Brook University
2020-2023
Food and Drug Administration
2023
Stony Brook University Hospital
2018-2022
Stony Brook School
2020-2022
Fundación Prodintec
2022
Stony Brook Medicine
2020
Fatigue is a common and bothersome symptom in inflammatory bowel disease (IBD) patients. The study was aimed to determine the relationship of biological psychological factors with IBD-related fatigue.Consecutive clinically inactive IBD outpatients receiving immunosuppressants or drugs were enrolled between January December 2013. Patients completed score (FACIT-F), various psychological, quality life (IBDQ-9), activity scores. Biological parameters assessed, including levels interleukins...
This work advances and demonstrates the utility of a reporting framework for collecting evaluating annotations medical images used training testing artificial intelligence (AI) models in assisting detection diagnosis. AI has unique requirements, as shown by extensions to CONSORT (Consolidated Standards Reporting Trials) SPIRIT (Standard Protocol Items: Recommendations Interventional checklists proposed STARD (Standards Diagnostic Accuracy) TRIPOD (Transparent multivariable prediction model...
OBJECTIVE The purpose of the study is to evaluate relationship between HbA1c and severity coronavirus disease 2019 (COVID-19) outcomes in patients with type 2 diabetes (T2D) acute COVID-19 infection. RESEARCH DESIGN AND METHODS We conducted a retrospective using observational data from National COVID Cohort Collaborative (N3C), longitudinal, multicenter U.S. cohort Patients were ≥18 years old T2D confirmed infection by laboratory testing or diagnosis code. primary outcome was 30-day...
Parametric imaging maps (PIM's) derived from digital subtraction angiography (DSA) for the cerebral arterial flow assessment in clinical settings have been proposed, but experiments yet to determine reliability of such studies. For this study, we observed effects different injection techniques on PIM's. A circuit set physiologic conditions was created using an internal carotid artery phantom. PIM's were two catheter positions, contrast bolus volumes (5ml and 10 ml), four rates (5, 10, 15 20...
Cutaneous leishmaniasis (CL) is an endemic disease in the Republic of Panama, caused by Leishmania (Viannia) parasites, whose most common clinical manifestation presence ulcerated lesions on skin. These usually present a chronic inflammatory reaction, sometimes granulomatous, with lymphocytes, plasma cells and macrophages. This study describes histopathological characteristics found skin patients CL (V.) panamensis Panama. We analyzed 49 biopsy samples from suspicion CL, molecular tests (PCR...
Abstract Background The global coronavirus disease 2019 (COVID-19) pandemic offers the opportunity to assess how hospitals manage care of hospitalized patients with varying demographics and clinical presentations. goal this study was demonstrate impact densely populated residential areas on hospitalization identify predictors length stay mortality in COVID-19 one hardest hit counties internationally. Methods This a single-center cohort 1325 sequentially New York between March 2, 2020, May...
The High Throughput Truthing project aims to develop a dataset for validating artificial intelligence and machine learning models (AI/ML) fit regulatory purposes. context of this AI/ML validation is the reporting stromal tumor-infiltrating lymphocytes (sTILs) density evaluations in hematoxylin eosin-stained invasive breast cancer biopsy specimens. After completing pilot study, we found notable variability sTILs estimates as well inconsistencies gaps provided training pathologists. Using...
Background Diabetes affects more than 30 million patients across the United States. With such a large disease burden, even small error in classification can be significant. Currently billing codes, assigned at time of medical encounter, are “gold standard” reflecting actual diseases present an individual, and thus aggregate reflect prevalence population. These codes generated by highly trained coders health care providers but not always accurate. Objective This work provides scalable deep...
Abstract Objectives We develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of COVID-19 pandemic. Materials methods Data visualization software is used display information from critical mart extracts EHR. A multidisciplinary collaborative led development. Results The displays institution-level details, as well patient-level details such settings, organ-system specific parameters,...
Summary The association between body mass index (BMI) and poor COVID‐19 outcomes in patients has been demonstrated across numerous studies. However, obesity‐related comorbidities have also shown to be associated with outcomes. purpose of this study was determine whether BMI or obesity‐associated contribute elevated severity non‐elderly, hospitalized (≥25 kg/m 2 ). This a single‐center, retrospective cohort 526 hospitalized, non‐elderly adult (aged 18–64) ≥25 suburban New York from March 6...
Background While vaccination is the most important way to combat SARS-CoV-2 pandemic, there may still be a need for early outpatient treatment that safe, inexpensive, and currently widely available in parts of world do not have access vaccine. There are in-silico, in-vitro, in-tissue data suggesting metformin inhibits viral life cycle, as well observational use before infection with SARS-CoV2 associated less severe COVID-19. Previous analyses from single-center cohorts been limited by size....
Zinc oxide (ZnO) nanowaveguides of 40 nm in diameter are fabricated by embedding ZnO nanowires vertically grown on a glass substrate silver film. Resonant transmission through these is observed for incident wavelengths around 500 nm. As the nanowaveguide increases, resonance shifts toward longer with increased amplitude. We attribute resonant to unique material combination used enabling excitation localized surface plasmons.
Purpose: Validation of artificial intelligence (AI) algorithms in digital pathology with a reference standard is necessary before widespread clinical use, but few examples focus on creating based pathologist annotations. This work assesses the results pilot study that collects density estimates stromal tumor-infiltrating lymphocytes (sTILs) breast cancer biopsy specimens. will inform creation validation dataset for evaluation AI fit regulatory purpose. Approach: Collaborators and...
OBJECTIVE To evaluate the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity with longer-term glycemic control weight in people type diabetes (T2D) U.S. RESEARCH DESIGN AND METHODS We conducted a retrospective cohort study using longitudinal electronic health record data patients SARS-CoV-2 from National COVID Cohort Collaborative (N3C). Patients were ≥18 years old an ICD-10 diagnosis T2D at least one HbA1c measurement prior to after index date...
Studies have shown that the increased presence of tumor-infiltrating lymphocytes (TILs) is associated with better long-term clinical outcomes and survival, which makes TILs a potentially useful quantitative biomarker. In clinics, pathologists' visual assessment in biopsies surgical resections result score (TILs-score). The Tumor-infiltrating breast cancer (TiGER) challenge first public on automated TILs-scoring algorithms using whole slide images hematoxylin eosin-stained (H&E) slides human...
Abstract Quantifying tumor‐infiltrating lymphocytes (TILs) in breast cancer tumors is a challenging task for pathologists. With the advent of whole slide imaging that digitizes glass slides, it possible to apply computational models quantify TILs Development requires significant time, expertise, consensus, and investment. To reduce this burden, we are preparing dataset developers validate their proposal Medical Device Tool (MDDT) program Center Devices Radiological Health U.S. Food Drug...
Objective Chronic pain and opioid management are challenging in primary care, especially for trainees with discontinuous ambulatory schedules less practice experience. The study objective was to improve adherence quality metrics office visit utilization a resident clinic. Design Before-after improvement intervention over two Plan-Do-Study-Act cycles. Setting Suburban, university-affiliated Internal Medicine Methods During the 2015-2017 academic years, sequential interventions were...
<strong>Purpose:</strong> We describe registration accuracy studies of a custom hardware-software system called eeDAP that registers fields view (FOVs) glass slide on microscope to the digital presentations regions interest (ROIs) whole images (WSI) same slide. In this manuscript, we results adding new hardware and use size larger pathologist data collection study. <br/> <strong>Methods:</strong> create task by identifying visually distinct target. This target will be center WSI ROI is...
An aneurysm is a pathological widening of blood vessel. Aneurysms the aorta are often asymptomatic until they rupture, killing approximately 10,000 Americans per year. Fortunately, rupture can be prevented through early detection and surgical repair. However, risk outweighs for small aortic aneurysms, necessitating policy surveillance. Understanding growth rate aneurysms essential determining appropriate surveillance windows. Further, identifying factors fast help identify potential...