A5103043445- Lymphoma Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Liver Disease Diagnosis and Treatment
- Monoclonal and Polyclonal Antibodies Research
- Cutaneous lymphoproliferative disorders research
- Diet, Metabolism, and Disease
- Acute Lymphoblastic Leukemia research
- ECG Monitoring and Analysis
- Sleep and Work-Related Fatigue
- CNS Lymphoma Diagnosis and Treatment
- Cardiovascular Function and Risk Factors
- EEG and Brain-Computer Interfaces
- Metabolomics and Mass Spectrometry Studies
- Adipose Tissue and Metabolism
- Endoplasmic Reticulum Stress and Disease
- HER2/EGFR in Cancer Research
- Sarcoma Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Regulation of Appetite and Obesity
- Laser Applications in Dentistry and Medicine
- Non-Invasive Vital Sign Monitoring
- Phagocytosis and Immune Regulation
- Phonocardiography and Auscultation Techniques
- Planarian Biology and Electrostimulation
- Alcohol Consumption and Health Effects
Icahn School of Medicine at Mount Sinai
2023-2025
Pfizer (United States)
2024
Seagen (United States)
2022-2023
University of California, Davis
2008-2019
University of California Davis Medical Center
2006-2018
Abstract The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal performance when pre-training done on natural images. We leveraged masked image modeling to create vision-based transformer model, HeartBEiT, waveform analysis. pre-trained this model 8.5 million ECGs then compared vs. standard CNN architectures...
Hepatic infiltration of neutrophils is a hallmark steatohepatitis; however, the role in progression steatohepatitis remains unknown.
Leptin, a profibrogenic cytokine, plays an important role in the development of non-alcoholic steatohepatitis. Leptin also regulates immune responses, including macrophage phagocytic activity. Stellate cells are key elements liver fibrogenesis, and previously we have demonstrated that phagocytosis apoptotic bodies by stellate is profibrogenic. To study effects leptin on activity hepatic cells, exposed both LX-2 primary to leptin, observed increased In isolated from Zucker (fa/fa) rats, rate...
Abstract Study Objectives To evaluate whether a foundational transformer using 8-hour, multichannel polysomnogram (PSG) data can effectively encode signals and classify sleep stages with state-of-the-art performance. Methods The Sleep Heart Health Study, Wisconsin Cohort, Osteoporotic Fractures in Men (MrOS) Visit 1 were used for training, the Multi-Ethnic of Atherosclerosis (MESA), Apnea Positive Pressure Long-term Efficacy (APPLES), MrOS visit 2 served as independent test sets. We...
The purpose of the study was to evaluate relationships between brentuximab vedotin (BV) pharmacokinetics, age, and body weight (BW) with efficacy safety in pediatric young adult patients previously untreated, high-risk classical Hodgkin lymphoma phase III AHOD1331 study.
Abstract Introduction: High-risk cHL in pediatric patients (pts) is typically treated with chemotherapy and radiation. BV, an antibody-drug conjugate (ADC) directed to CD30, approved six adult indications including children previously untreated high-risk cHL. In AHOD1331, BV was incorporated into the standard backbone treatment regimen of doxorubicin (Adriamycin®), bleomycin, vincristine, etoposide, prednisone & cyclophosphamide (ABVE-PC) for replace bleomycin its expectant toxicity....
The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches result in suboptimal performance when pre-training done on natural images. We leveraged masked image modeling to create the first vision-based transformer model, HeartBEiT, for waveform analysis. pre-trained this model 8.5 million ECGs then compared vs. standard CNN architectures diagnosis of...
<p>Exposure metrics of ADC and MMAE following intravenous administration brentuximab vedotin 1.8 mg/kg Q3W in the PK subpopulation.</p>
<p>Mean concentration-time curves for ADC and MMAE during Cycle 4 following intravenous administration of brentuximab vedotin in the PK subpopulation.</p>
<p>Body weight distribution of patients in the PK subpopulation and those aged <13 years overall population who were not enrolled substudy.</p>
<div>AbstractPurpose:<p>The purpose of the study was to evaluate relationships between brentuximab vedotin (BV) pharmacokinetics, age, and body weight (BW) with efficacy safety in pediatric young adult patients previously untreated, high-risk classical Hodgkin lymphoma phase III AHOD1331 study.</p>Experimental Design:<p>Overall, 296 (age 2–21 years) overall population were randomized received BV + chemotherapy; pharmacokinetic subpopulation comprised 24 <13 years)....
<p>Body weight distribution of patients in the PK subpopulation and those aged <13 years overall population who were not enrolled substudy.</p>
<p>Comparison of cycle 1 Cave for ADC and MMAE exposures in patients with grade ≥3 neutropenic AEs without the PK subpopulation.</p>
<div>AbstractPurpose:<p>The purpose of the study was to evaluate relationships between brentuximab vedotin (BV) pharmacokinetics, age, and body weight (BW) with efficacy safety in pediatric young adult patients previously untreated, high-risk classical Hodgkin lymphoma phase III AHOD1331 study.</p>Experimental Design:<p>Overall, 296 (age 2–21 years) overall population were randomized received BV + chemotherapy; pharmacokinetic subpopulation comprised 24 <13 years)....
<p>Exposure metrics of ADC and MMAE following intravenous administration brentuximab vedotin 1.8 mg/kg Q3W in the PK subpopulation.</p>
<p>Exposure metrics of ADC and MMAE following intravenous administration brentuximab vedotin 1.8 mg/kg Q3W at steady state by age subgroup in the PK subpopulation.</p>
<p>Comparison of cycle 1 Cave for ADC and MMAE exposures in patients with grade ≥2 or ≥3 PN without the PK subpopulation.</p>
<p>Comparison of cycle 1 Cave for ADC and MMAE exposures in patients with grade ≥3 neutropenic AEs without the PK subpopulation.</p>
<p>Comparison of cycle 1 Cave for ADC and MMAE exposures in patients with grade ≥2 or ≥3 PN without the PK subpopulation.</p>
<p>Exposure metrics of ADC and MMAE following intravenous administration brentuximab vedotin 1.8 mg/kg Q3W at steady state by age subgroup in the PK subpopulation.</p>
<p>Mean concentration-time curves for ADC and MMAE during Cycle 4 following intravenous administration of brentuximab vedotin in the PK subpopulation.</p>
To investigate whether a foundational transformer model using 8-hour, multichannel data from polysomnograms can outperform existing artificial intelligence (AI) methods for sleep stage classification.