A5048121583- Global Cancer Incidence and Screening
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Biomedical Text Mining and Ontologies
- Hemoglobinopathies and Related Disorders
- Economic and Financial Impacts of Cancer
- Topic Modeling
- Multiple and Secondary Primary Cancers
- COVID-19 and healthcare impacts
- Radiomics and Machine Learning in Medical Imaging
- Iron Metabolism and Disorders
- Ethics in Clinical Research
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- SARS-CoV-2 and COVID-19 Research
- Pharmacological Effects and Toxicity Studies
- Pancreatic and Hepatic Oncology Research
- COVID-19 Clinical Research Studies
- Advanced Breast Cancer Therapies
- Genetics, Bioinformatics, and Biomedical Research
- Lung Cancer Treatments and Mutations
- Bioinformatics and Genomic Networks
- AI in cancer detection
- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
National Cancer Institute
2016-2025
National Institutes of Health
2018-2024
Center for Cancer Research
2023
Genomic Health (United States)
2016-2017
John Wiley & Sons (United States)
2016
University of California, San Francisco
2016
Information Management Services
2016
McGill University Health Centre
2015
Montreal General Hospital
2015
Johns Hopkins University
2015
Background: Researchers of sickle cell disease have traditionally used health care utilization as a proxy for pain and underlying vaso-occlusion. However, may not completely reflect the amount self-reported or acute, painful episodes (crises). Objective: To examine prevalence relationship among pain, crises, in adults with disease. Design: Prospective cohort study. Setting: Academic community practices Virginia. Patients: 232 patients age 16 years older Measurements: Patients completed daily...
Abstract Background: Distant metastatic breast cancer (MBC), including metastases found at diagnosis (de novo) and those occurring later (recurrence), represents the most severe form of disease, when resource utilization is intensive. Yet, number women living with MBC in United States unknown. The objective this article to use population-based data estimate prevalence MBC. Methods: We used a back-calculation method from U.S. mortality survival Surveillance, Epidemiology End Results (SEER)...
Understanding the effect of serum antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on susceptibility infection is important for identifying at-risk populations and could have implications vaccine deployment.
Abstract Background Sickle cell disease (SCD) is a chronic associated with high degrees of morbidity and increased mortality. Health-related quality life (HRQOL) among adults sickle has not been widely reported. Methods We administered the Medical Outcomes Study 36-item Short-Form to 308 patients in Pain Cell Epidemiology (PiSCES) assess HRQOL. Scales included physical function, emotional role bodily pain, vitality, social mental health, general health. compared scores national norms using...
Depression and anxiety are common in sickle cell disease (SCD) but relatively little is known about their impact on SCD adults. This study measured prevalence of depression adults, effects crisis noncrisis pain, quality-of-life, opioid usage, healthcare utilization.The Pain Sickle Cell Epidemiology Study a prospective cohort 308 Baseline variables included demographics, genotype, laboratory data, health-related depression, anxiety. Subjects completed daily diaries for up to 6 months,...
Background: Prostate cancer tends to affect older men and progress relatively slowly. Since the prevalence of comorbidity increases with advancing age, competing causes death are important contributors rates among prostate patients. Accurate determination underlying in dying may thus also be more difficult. Methods: We compared distribution decedents from a population-based cohort elderly patients that comparison without cancer. Among patient cohort, we examined associations demographics,...
Abstract The 21-gene Recurrence Score assay is validated to predict recurrence risk and chemotherapy benefit in hormone-receptor-positive (HR+) invasive breast cancer. To determine prospective breast-cancer-specific mortality (BCSM) outcomes by baseline results clinical covariates, the National Cancer Institute collaborated with Genomic Health 14 population-based registries Surveillance, Epidemiology, End Results (SEER) Program electronically supplement cancer surveillance data results....
Abstract Objective We implement 2 different multitask learning (MTL) techniques, hard parameter sharing and cross-stitch, to train a word-level convolutional neural network (CNN) specifically designed for automatic extraction of cancer data from unstructured text in pathology reports. show the importance related information (IE) tasks leveraging shared representations across achieve state-of-the-art performance classification accuracy computational efficiency. Materials Methods Multitask CNN...
Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, young adults (AYAs) with pediatric cancers. However, challenges sharing data between institutions, particularly research, prevent addressing substantial unmet needs children AYA patients diagnosed certain Systematically collecting from every child can enable greater understanding of cancers, improve survivorship, accelerate development new more effective therapies. To...
Abstract Childhood cancers are a heterogeneous group of rare diseases, accounting for less than 2% all diagnosed worldwide. Most countries, therefore, do not have enough cases to provide robust information on epidemiology, treatment, and late effects, especially rarer types cancer. Thus, only through concerted effort share data internationally will we be able answer research questions that could otherwise answered. With this goal in mind, the U.S. National Cancer Institute French...
Treatment options for sickle cell disease (SCD) pain could be tailored to locations. But few epidemiologic descriptions of SCD location exist; these are based on subjects over short time periods. We examined whether locations vary by genotype, gender, age, frequency pain, depression, crisis or healthcare utilization. enrolled 308 adults with in 2002-2004. Subjects kept daily diaries up 6months, including a body chart. Mixed model and generalized estimating equations were employed analyses....
In the last decade, widespread adoption of electronic health record documentation has created huge opportunities for information mining. Natural language processing (NLP) techniques using machine and deep learning are becoming increasingly extraction tasks from unstructured clinical notes. Disparities in performance when deploying models real world have recently received considerable attention. NLP domain, robustness convolutional neural networks (CNNs) classifying cancer pathology reports...
This study provides results based on prospectively captured effort to estimate the largely nonreimbursed costs of eligibility screening and suggests that can be a significant financial burden an institution.
Background: Although opioid prescribing in sickle cell disease (SCD) can be controversial, little is published about patterns of use.Objective: To report on home use among adults with SCD.Design: Cohort study.Participants: Adults SCD (n = 219) who completed daily pain diaries for up to 6 months and had at least one day.Main measures: Use long-acting or short-acting opioids, other analgesics, adjuvants; the proportion days, crisis days use; these two outcomes according patient...
We introduce a deep learning architecture, hierarchical self-attention networks (HiSANs), designed for classifying pathology reports and show how its unique architecture leads to new state-of-the-art in accuracy, faster training, clear interpretability. evaluate performance on corpus of 374,899 obtained from the National Cancer Institute's (NCI) Surveillance, Epidemiology, End Results (SEER) program. Each report is associated with five clinical classification tasks - site, laterality,...
Many studies have found gender differences in frequency and intensity of pain. Women often report lower pain thresholds, higher ratings, tolerance for People with sickle cell disease (SCD) experience both chronic acute throughout life.To compare adult men women SCD terms reported pain, crises, healthcare utilization, opioid usage.Two hundred twenty-six adults Virginia were enrolled a prospective cohort study completed daily diaries 1-6 months. Subjects the previous day their maximum...
Background Clinical trials (CTs) are the mechanism by which research is translated into standards of care. Low recruitment among underserved and minority populations may result in inequity access to latest technology treatments, compromise generalizability, lead failure identification important positive or negative treatment effects under-represented populations. Methods Data were collected over a 39-month period on patient eligibility for available therapeutic cancer CTs. Reasons...
Population cancer registries can benefit from Deep Learning (DL) to automatically extract characteristics the high volume of unstructured pathology text reports they process annually. The success DL tackle this and other real-world problems is proportional availability large labeled datasets for model training. Although collaboration among essential fully exploit promise DL, privacy confidentiality concerns are main obstacles data sharing across registries. Moreover, natural language...
This study assessed the prevalence of specific major adverse financial events (AFEs)-bankruptcies, liens, and evictions-before a cancer diagnosis their association with later-stage at diagnosis.
In several types of chronic pain, catastrophizing has been related to higher pain intensity, and health care utilization but it not explored extensively in sickle cell disease (SCD). The objective the study was identify role SCD, specifically relation painful crises, non-crisis responses pain. Two hundred twenty SCD adults were enrolled a prospective cohort completed between 30 188 daily diaries 6 months. Catastrophizing subscale (CAT) Coping Strategy Questionnaire (CSQ) administered at...