latest news & announcements

Saeed Hassanpour, Ph.D., Assistant Professor of Biomedical Data Science at Geisel, awardeded 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 SOURCE
National Library of Medicine (NLM), National Institutes of Health (NIH)
NLM Express Research Grants in Biomedical Informatics (R01)

PROJECT PERIOD
02/12/2019 - 01/31/2023

PRINCIPAL INVESTIGATOR
Saeed Hassanpour, PhD

OTHER PROJECT STAFF
Arief Suriawinata, MD (Co-I); Lorenzo Torresani, PhD (Co-I); Lynn Butterly, MD (Co-I)

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 are taking a certain medication? For how long? Find out using Dartmouth i2b2.

Each workshop includes a light breakfast.

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).

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 innovative deep learning model
matches the performance of practicing radiologists and can be used for screening
and prioritizing fracture cases.

Read more here:

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 Chicago, showed that hematopoietic stem cell transplantation was beneficial to a subset of patients with systemic sclerosis who were not responsive to immunosuppressive therapies such as abatacept or mycophenolate mofetil.

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.

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 at Geisel School of Medicine at Dartmouth, as well as a researcher from the Perelman School of Medicine at the University of Pennsylvania.

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