Daniel J. Rubin

ORCID: 0000-0002-6871-6246
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About
Contact & Profiles
Research Areas
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Diabetes Treatment and Management
  • Diabetes Management and Research
  • Heart Failure Treatment and Management
  • Chronic Disease Management Strategies
  • Diabetes and associated disorders
  • Diabetes Management and Education
  • Medication Adherence and Compliance
  • Bariatric Surgery and Outcomes
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare
  • Healthcare Systems and Practices
  • Diet and metabolism studies
  • Immunotherapy and Immune Responses
  • COVID-19 Clinical Research Studies
  • Biomedical Text Mining and Ontologies
  • Artificial Intelligence in Healthcare and Education
  • Metabolism, Diabetes, and Cancer
  • Virus-based gene therapy research
  • Geriatric Care and Nursing Homes
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Pharmaceutical Practices and Patient Outcomes
  • Mental Health Research Topics
  • Lymphoma Diagnosis and Treatment
  • Patient-Provider Communication in Healthcare

Temple University
2015-2024

Providence College
2020-2024

Diabetes Australia
2023

Mental Health Association of Westchester County
2022

Philadelphia University
2015-2021

Temple College
2021

AID Atlanta
2018-2020

Urbana University
2020

Johns Hopkins Medicine
2020

Johns Hopkins University
2020

Functional brain networks detected in task-free ("resting-state") functional magnetic resonance imaging (fMRI) have a small-world architecture that reflects robust organization of the brain. Here, we examined whether this is disrupted Alzheimer's disease (AD). Task-free fMRI data from 21 AD subjects and 18 age-matched controls were obtained. Wavelet analysis was applied to compute frequency-dependent correlation matrices. Correlation matrices thresholded create 90-node undirected-graphs...

10.1371/journal.pcbi.1000100 article EN cc-by PLoS Computational Biology 2008-06-26

Detecting and segmenting brain metastases is a tedious time-consuming task for many radiologists, particularly with the growing use of multi-sequence 3D imaging. This study demonstrates automated detection segmentation on MRI using deep learning approach based fully convolution neural network (CNN). In this retrospective study, total 156 patients from several primary cancers were included. Pre-therapy MR images (1.5T 3T) included pre- post-gadolinium T1-weighted fast spin echo, axial...

10.1002/jmri.26766 article EN Journal of Magnetic Resonance Imaging 2019-05-02

In June 2016, Diabetes Technology Society convened a panel of US experts in inpatient diabetes management to discuss the current and potential role continuous glucose monitoring (CGM) hospital. This discussion combined with literature review was follow-up meeting, which took place May 2015. The reviewed evidence on use CGM 3 scenarios: (1) intensive care unit (ICU), (2) non-ICU, (3) transitioning outpatient into hospital setting. Panel members agreed that data from limited studies...

10.1177/1932296817706151 article EN Journal of Diabetes Science and Technology 2017-04-21

In stark contrast to most aggressive predators, Dosidicus gigas (jumbo squids) do not use minerals in their powerful mouthparts known as beaks. Their beaks instead consist of a highly sclerotized chitinous composite with incremental hydration from the tip base. We previously reported l-3,4-dihydroxyphenylalanine (dopa)-histidine (dopa-His) an important covalent cross-link providing mechanical strengthening beak material. Here, we present more complete characterization sclerotization...

10.1074/jbc.m110.161174 article EN cc-by Journal of Biological Chemistry 2010-09-25

Abstract Chronic systemic inflammation links periodontal disease and diabetes to increased incidence of serious comorbidities. Activation TLRs, particularly TLR2 TLR4, promotes chronic inflammation. Human B cells have been generally thought lack these TLRs. However, recent work showed that an percentage circulating from inflammatory patients express TLR engagement on resulted in unexpected changes gene expression. New data show secrete multiple cytokines response different classes ligands....

10.4049/jimmunol.0901517 article EN The Journal of Immunology 2009-11-17

To determine the association of weight-based insulin dose with hypoglycemia in noncritically ill inpatients diabetes.We performed a retrospective, case-control study 1,990 diabetic patients admitted to hospital wards. Patients glucose levels <70 mg/dL (case subjects) were matched one nonhypoglycemic control subjects on basis day hypoglycemia, age, sex, and BMI.Relative 24-h doses <0.2 units/kg, unadjusted odds increased increasing dose. Adjusted for type, sliding-scale use, albumin,...

10.2337/dc10-2434 article EN cc-by-nc-nd Diabetes Care 2011-06-24

<h3>OBJECTIVE</h3> The extent of shared decision making (SDM) use in the care Black patients is limited. We explored preferences, needs, and challenges to enhance SDM offerings. <h3>METHODS</h3> performed interviews with 32 receiving type 2 diabetes safety-net primary practices caring predominantly for people. <h3>RESULTS</h3> following 4 themes emerged: preference humanistic communication, need account role family making, medical information sharing, mistrust clinicians. <h3>CONCLUSION</h3>...

10.1370/afm.2943 article EN The Annals of Family Medicine 2023-02-07

Artificial intelligence (AI) and machine learning (ML) technology design development continues to be rapid, despite major limitations in its current form as a practice discipline address all sociohumanitarian issues complexities. From these emerges an imperative strengthen AI ML literacy underserved communities build more diverse workforce engaged health research. has the potential account for assess variety of factors that contribute disease improve prevention, diagnosis, therapy. Here, we...

10.2196/52888 article EN cc-by JMIR AI 2023-11-05

The rigid geometry and tunable chemistry of D,L-cyclic peptides makes them an intriguing building-block for the rational design nano- microscale hierarchically structured materials. Herein, we utilize a combination electron microscopy, nanomechanical characterization including depth sensing-based bending experiments, molecular modeling methods to obtain structural mechanical characteristics cyclo-[(Gln-D-Leu)4] (QL4) assemblies. QL4 monomers assemble form large, rod-like structures with...

10.1021/acsnano.5b00672 article EN ACS Nano 2015-03-11

Hospital readmission within 30 days of discharge (30-d readmission) is an undesirable outcome. Readmission patients with diabetes common and costly. Most the studies that have examined risk factors among did not include potentially important clinical data.

10.1097/mlr.0000000000000931 article EN Medical Care 2018-05-10

OBJECTIVE In the ACCORD trial, intensive treatment of patients with type 2 diabetes and high cardiovascular (CV) risk was associated higher all-cause CV mortality. Post hoc analyses have failed to implicate rapid reduction glucose, hypoglycemia, or specific drugs as causes this finding. We hypothesized that exposure injected insulin quantitatively increased RESEARCH DESIGN AND METHODS examined data from 10,163 participants a mean follow-up 5 years. Using Cox proportional hazards models, we...

10.2337/dc15-0598 article EN Diabetes Care 2015-10-12

In May 2015 the Diabetes Technology Society convened a panel of 27 experts in hospital medicine and endocrinology to discuss current potential future roles continuous glucose monitoring (CGM) delivering optimum health care hospitalized patients United States. The focused on 3 settings for CGM hospital, including (1) intensive unit (ICU), (2) non-ICU, (3) continuation use home hospital. group reviewed barriers solutions overcome barriers. They concluded that has improve quality patient can...

10.1177/1932296816656380 article EN Journal of Diabetes Science and Technology 2016-06-11
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