Moen EL, Kapadia NS, O’Malley AJ, Onega T. Evaluating breast cancer care coordination at a rural National Cancer Institute Comprehensive Cancer Center using network analysis and geospatial methods. Cancer Epidemiol Biomarkers Prev. 2019; 28 (3): 455-61. http://cebp.aacrjournals.org/content/28/3/455.long Summary: Physician patient-sharing networks offer a novel lens through which to study cancer […]
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Saeed Hassanpour, Ph.D., Assistant Professor of Biomedical Data Science at Geisel, awarded an NIH R01 Grant for biomedical informatics research
PROJECT TITLE: Improving Colorectal Cancer Screening and Risk Assessment through Deep Learning on Medical Images and Records FUNDING SOURCENational Library of Medicine (NLM), National Institutes of Health (NIH)NLM Express Research Grants in Biomedical Informatics (R01) PROJECT PERIOD02/12/2019 – 01/31/2023 PRINCIPAL INVESTIGATORSaeed Hassanpour, PhD OTHER PROJECT STAFFArief Suriawinata, MD (Co-I); Lorenzo […]
Spring 2019 workshops for i2b2 and REDcap announced
This spring, SYNERGY will be running a series of workshops for two informatics tools, REDCap and i2b2. REDCap is a secure web application for building and managing online surveys and data. i2b2 is a patient cohort discovery tool. Are there enough eligible patients to support my study? How many patients […]
How to estimate the effect of proximity to fast food establishments on individuals’ BMI while accounting for possibly correlated neighborhood effects of residence and workplace?
The paper “Modeling a Bivariate Residential-Workplace Neighborhood Effect when Estimating the Effect of Proximity to Fast-Food Establishments on Body Mass Index” by James O’Malley and colleagues was published online in Statistics in Medicine on November 20, 2018 (https://onlinelibrary.wiley.com/doi/epdf/10.1002/sim.8039). This paper makes an important advance in the statistical methodology for hierarchical […]
Biomedical Researchers at Geisel School of Medicine Achieve 80% Performance Increase When Training a Deep Learning System to Detect Osteoporosis
In a recent study published in Computers in Biology and Medicine, the Hassanpour Lab at Geisel School of Medicine reports findings on training the ResNet34 feature extraction network on a high-performance computer that was equipped with an NVIDIA Titan Xp GPU to detect osteoporotic vertebral fractures on CT scans. This […]
Geisel Researchers Employ Machine Learning on Instagram Data to Identify Substance Use Risk
Findings from an innovative study conducted by a team of researchers at Dartmouth’s Geisel School of Medicine and published in the journal Neuropsychopharmacology, point to a promising new approach for identifying substance use risk through the use of machine learning and social media data. Read more here: https://geiselmed.dartmouth.edu/news/2018/geisel-researchers-employ-mach…
Stem Cell Transplantation May Aid Hard-to-Treat Scleroderma Patients
Results from a new study conducted by researchers at Dartmouth’s Geisel School of Medicine and a number of collaborating institutions are giving hope to patients who suffer from the autoimmune disease scleroderma or systemic sclerosis. Their findings, presented this week at the American College of Rheumatology Annual Scientific Meeting in […]
Dr. James O’Malley is among winners of the 2018 John M. Eisenberg Article-of-the-Year Award for the journal Health Services Research
Read more here:https://onlinelibrary.wiley.com/doi/epdf/10.1111/1475-6773.12513
Dr. James O’Malley has two papers accepted for publication in the Journal of Biostatistics and the journal of Statistics in Medicine
Paper 1: Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model by Pablo Martinez-Camblor, Todd MacKenzie, Doug Staiger, Philip Goodney, and James O’Malley accepted for publication in Biostatistics (https://arxiv.org/abs/1711.02725). This is the first paper from PCORI statistical methods award led by James O’Malley. It address […]
Zhigang Li, Ph.D., receives a $2 million NIH R01 award to research human microbiome and disease-leading causal pathways in children
NIH has awarded Dr. Zhigang Li a 5-year R01 grant with a total cost of $2.3 million dollars to develop “Mediation Analysis Methods to Model Human Microbiome Mediating Disease-Leading Causal Pathways in Children” (1R01GM123014). In this project, Dr. Li will lead a team consisting of biostatisticians, epidemiologists and a pediatrician […]