Mary-Anne Ardini
A5076839653- Neonatal Respiratory Health Research
- Health Policy Implementation Science
- Delphi Technique in Research
- Single-cell and spatial transcriptomics
- Childhood Cancer Survivors' Quality of Life
- Biomedical Text Mining and Ontologies
- Cancer Genomics and Diagnostics
- Data Quality and Management
- Prenatal Screening and Diagnostics
- Gut microbiota and health
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Scientific Computing and Data Management
- Fetal and Pediatric Neurological Disorders
- Cell Image Analysis Techniques
- Epigenetics and DNA Methylation
- Viral-associated cancers and disorders
- Hemophilia Treatment and Research
- Research Data Management Practices
- Colorectal Cancer Screening and Detection
- Data Analysis and Archiving
- Renal and related cancers
- Inhalation and Respiratory Drug Delivery
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Pediatric Urology and Nephrology Studies
- Congenital Diaphragmatic Hernia Studies
RTI International
2010-2023
National Institute of Diabetes and Digestive and Kidney Diseases
2013
Queens University of Charlotte
2013
The Graduate Center, CUNY
2013
We sought to determine the incidence, prevalence, and life expectancy of Aicardi syndrome from 408 cases compiled multiple international sources. Last known age ranged less than 1 month 42 years. The incidence rates per live births for United States Netherlands were 105 000 93 000, respectively. prevalence in is greater 853 cases, worldwide estimate several thousand. Forty-five deceased (age range, 33 years), risk death peaked at 16. probability survival 27 years was 0.62 (95% CI,...
An improved understanding of the human lung necessitates advanced systems models informed by an ever-increasing repertoire molecular omics, cellular imaging, and pathological datasets. To centralize standardize information across broad research efforts, we expanded LungMAP.net website into a new gateway portal. This portal connects spectrum networks, bulk single-cell multiomics data, diverse collection image data that span mammalian development disease. The are standardized species...
Methods of integrating qualitative data across diverse studies and within multi-site research consortia are less developed than those for quantitative data. The development ofsuchmethods is essential to support the exchange needed cross-study inquiry given increasing emphasis on sharing open science. We describe methods integration National Cancer Institute's Improving Management symPtoms During And following Treatment (IMPACT) Consortium funded by MoonshotSM. Data collection analysis were...
Cancer and its treatment produce deleterious symptoms across the phases of care. Poorly controlled negatively affect quality life result in increased health-care needs hospitalization. The Improving Management symPtoms during And following Treatment (IMPACT) Consortium was created to develop 3 large-scale, systematic symptom management systems, deployed through electronic health record platforms, test them pragmatic, randomized, hybrid effectiveness implementation trials. Here, we describe...
The field of microbiome research is growing rapidly. We developed a method for self-collection fecal specimens that can be used in population-based studies the gut microbiome. conducted pilot study to test feasibility our methods among random sample healthy, postmenopausal women who are members Kaiser Permanente Colorado (KPCO). aimed collect questionnaire data, and urine from 60 women, aged 55–69, recently had normal screening mammogram. designed such all data could collected at home....
The National Institute of Diabetes and Digestive Disease (NIDDK) Central Data Repository (CDR) is a web-enabled resource available to researchers the general public. CDR warehouses clinical data study documentation from NIDDK funded research, including such landmark studies as Control Complications Trial (DCCT, 1983–93) Epidemiology Interventions (EDIC, 1994–present) follow-up which has been ongoing for more than 20 years. also houses over 7 million biospecimens representing 2 subjects. To...
This data is a curated collection of visual images gene expression patterns from the pre- and post-natal mouse lung, accompanied by associated mRNA probe sequences RNA-Seq profiles. Mammalian lungs undergo significant growth cellular differentiation before after transition to breathing air. Documenting normal lung development an important step in understanding abnormal development, as well challenges faced during preterm birth. Images this dataset indicate spatial distribution transcripts...
Abstract Objectives To report lessons from integrating the methods and perspectives of clinical informatics (CI) implementation science (IS) in context Improving Management symPtoms during following Cancer Treatment (IMPACT) Consortium pragmatic trials. Materials Methods IMPACT informaticists, trialists, scientists met to identify challenges solutions by examining robust case examples 3 Research Centers that are deploying systematic symptom assessment management interventions via electronic...
Abstract Background Immunofluorescent confocal microscopy uses labeled antibodies as probes against specific macromolecules to discriminate between multiple cell types. For images of the developmental mouse lung, these cells are themselves organized into densely packed higher-level anatomical structures. These types can be challenging segment automatically for several reasons, including relevance biomedical context, dependence on set used, prohibitive cost generating training data, well...
ABSTRACT An improved understanding of the human lung necessitates advanced systems models informed by an ever-increasing repertoire molecular omics, cellular, imaging and pathological datasets. To centralize standardize information across broad research efforts we expanded LungMAP.net website into a gateway portal. This portal connects broad-spectrum networks, bulk single-cell multi-omics data diverse collection image that span mammalian development disease. The are standardized species...
Abstract Background Immunofluorescent confocal microscopy uses labeled antibodies as probes against specific macromolecules to discriminate between multiple cell types. For images of the developmental mouse lung, these cells are themselves organized into densely packed higher-level anatomical structures. These types can be challenging segment automatically for several reasons, including relevance biomedical context, dependence on set used, prohibitive cost generating training data, well...