Geisel Announces New Master of Science Degree in Quantitative Epidemiology “I am very pleased to launch this new degree program that brings together our faculty from different disciplines to cross-train students in epidemiology, bioinformatics, and biostatistics to prepare them for a variety of future professional experiences,” says Duane Compton, PhD, dean of Dartmouth’s Geisel School of Medicine. Read More
Duane Compton, Dean of the Geisel Medical School has announced that Michael L. Whitfield, PhD, has been named the chair of the Department of Biomedical Data Science at Dartmouth’s Geisel School of Medicine. Whitfield, a professor of biomedical data science (BMDS) and molecular and systems biology, and a QBS Faculty member has served as the department’s interim chair since November 2017. Read more here.
“Clinical implementation of our system would be able to assist pathologists for accurate classification of lung cancer subtypes, which is critical for prognosis and treatment.”
Megan Romano, PhD, MPH, assistant professor of epidemiology and QBS faculty member, leads a project investigating perfluoroalkyl substances and their effect on gestational weight gain, breastfeeding, and early life growth. The project, funded by a National Institutes of Health COBRE grant (Centers of Biomedical Research Excellence), is entitled "Effects of Perfluoroalkyl Substances on Gestational Weight Gain, Breastfeeding, and Early Life Growth". Read an article about this research as published in the New Hampshire Union Leader. Read the article here.
New Machine Learning Method Could Spare Some Women from Unnecessary Breast Surgery
A Dartmouth research team, led by QBS and Biomedical Data Science faculty member Saeed Hassanpour, found a machine learning method to predict the likelihood that a high-risk ADH breast lesion is cancerous, potentially saving some women from unnecessary surgeries and overtreatment. Read more...
Kwame Wiredu, 1st year PhD student awarded scholarship to MDI Biological Laboratory’s 2019 Applied Bioinformatics Program
Each year, MDI Laboratories organize hands-on Applied Bioinformatics program for early career scientists interested in incorporating bioinformatics into their research. This year, Kwame Wiredu (1st year QBS PhD Student) is one of 2 students receiving full sponsorship from the Dartmouth Lung Biology Center to represent the college in Salisbury Cove, Maine this Summer for the Applied Bioinformatics course. Kwame is passionate about molecular epidemiology and biomarker discovery and is constantly exploring avenues to acquire new skills for his career goal. This course will employ tools such as UNIX command line, Galaxy, Bio-conductor, Biomart, the UCSC Genome Browser, KEGG, Gene Ontology, random forests, and support vector machines to mine meaningful insights into biomedical data such as human or mouse gene expression.
QBS and TDI faculty member James O’Malley publishes article in Statistics in Medicine
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 models by allowing the latent or random effects of a neighborhood to have a bivariate impact through both residential and workplace exposure to fast-food establishments on an individuals’ Body Mass Index (BMI). The paper solves a general gap in at the intersection of statistical methodology and statistical computing that occurs when a clustering variable impacts outcomes through multiple possibly correlated forms of exposure. The research team was led by Dr. James O'Malley and included colleagues at Dartmouth, Harvard School of Public Health, Harvard Medical School and Harvard Pilgrim Health Care Institute, all co-authors on this paper.
QBS and Biomedical Data Science Faculty member Jennifer Emond quoted in Reuters Article
“These young children don’t buy these cereals on their own. Instead, it’s likely that children see TV ads for these cereals and then ask their parents to buy the advertised brands,” says the assistant professor of biomedical data science and of pediatrics at the Geisel School of Medicine.
Read more at: http://dartgo.org/quoteedmond6.
Geisel Researchers Employ Machine Learning on Instagram Data to Identify Substance Use Risk
Results from an innovative new study conducted by a team of researchers at Geisel, including QBS faculty member Saeed Hassanpour, are the first to show that machine learning approaches can be used to identify potential substance use risk behavior, such as alcohol use, among social media users. Read more...
Stem Cell Transplantation May Aid Hard-to-Treat Scleroderma Patients
Results from a new study led by researchers, Michael Whitfield and Jennifer Franks, at Geisel and presented this week at the American College of Rheumatology Annual Scientific Meeting in Chicago, showed that stem cell transplantation was beneficial to scleroderma patients who don’t respond to current immunosuppressive therapies. Read more
Dartmouth Institute Receives $3.5M Grant for Research Aimed at Preventing Acute Kidney Injury During Cardiac Catheterization
A research team led by Dartmouth Institute Associate Professor Jeremiah Brown, PhD, MS, recently was awarded a $3.5 million grant from the National Institute of Diabetes and Digestive and Kidney Diseases (NIH) to test preventative interventions for acute kidney injury (AKI) occurring as the result of cardiac catheterization. Read more...
Dartmouth Institute Research Updates: Better Information = Better Health Outcomes
New study on referral paths in the U.S. physician network related to U.S. cardiovascular treatment records; a better way to measure long-term survival rate for carotid endarterectomy (CEA) vs. carotid stenting (CAS). Recaps of the latest Dartmouth Institute research...
Barbara C. Jobst, MD, PhD, Professor of Neurology at the Geisel School of Medicine and section chief in the department of neurology at Dartmouth-Hitchcock, has been named the Louis and Ruth Frank Professor in Neuroscience.
Dr. Diane Gilbert Diamond, Associate Professor of Epidemiology and Associate Director of QBS, has been awarded two grants by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH). Dr. Gilbert- Diamond was awarded an R01 (NIH Research Project Grant) in July of 2018. This study will employ a multidisciplinary approach to study childhood obesity and potential interactions between genetic factors and environmental food cues on brain reward system activity and excess consumption. This study is critical to understanding the etiology of child obesity and guiding future obesity prevention research. Read more
Dr. Gilbert-Diamond was also awarded an R21 (NIH Exploratory/Developmental Research Grant) in September of 2018. This research aims to investigate the causal pathways among media multi-tasking, attention to food cues and eating in the absence of hunger. This research is critical to understanding the effects of the prevalent practice of media multi-tasking on cued overeating that may have important public health consequences. Read more
Dr. Annie Hoen was awarded an R01 in biomedical informatics from the National Library of Medicine in August, 2018. The work funded by this grant will build new computational tools for integrating multi-omic data for quantitatively describing the interactions within human-associated microbial communities, and how they can be associated with disease risk. Also contributing to this work are Dr. Margaret Karagas, Dr. Juliette Madan and Dr. Jason Moore and Dr. Hongzhe Li at University of Pennsylvania. Dr. Hoen is welcomes inquiries from graduate students and postdoctoral fellows interested in developing projects related to these goals. Read more