A new randomized clinical trial with Dartmouth investigators has noted significant improvement in several measures among those who began palliative care early.
The National Cancer Institute (NCI) has renewed its Cancer Center Support Grant to Norris Cotton Cancer Center (NCCC) at Dartmouth, continuing NCCC’s designation as a Comprehensive Cancer Center.
Inserting a specific strain of bacteria into the microenvironment of aggressive ovarian cancertransforms the behavior of tumor cells from suppression to immunostimulation, researchers at Norris Cotton Cancer Center and the Geisel School of Medicine at Dartmouth have found.
Researchers from Dartmouth‘s Norris Cotton Cancer Center reported in Pacific Symposium on Biocomputing on the use of denoting autoencoders to effectively extract key biological principles from gene expression data and summarize them into constructed features with convenient properties.
Dartmouth researchers have developed a fluorescence imaging technique that can more accurately identify receptors for targeted cancer therapies without a tissue biopsy.
A new article published by Geisel psychiatry professor John Christopher shows that as psychologists increasingly cross international borders in response to world disasters, it is essential for them to be aware of their own cultural values, beliefs, and perceptions while interacting with people of other cultures.
Dartmouth SYNERGY, the Dartmouth Clinical and Translational Science Institute, is helping junior biomedical researchers take their research findings and leverage them into new treatments for patients through a huge range of research tools and clinical research support.
Geisel researchers Dror Ben-Zeev, PhD, and Rachel Thompson, received awards to support their comparative clinical effectiveness research.
The Alumni Council of the Geisel School of Medicine at Dartmouth will honor five of its most accomplished alumni at its first annual achievement awards celebration on Friday, October 17.
Dartmouth researchers have identified nine traits that are not dependent on P values to predict single nucleotide polymorphisms (SNP) reproducibility in genome-wide association studies (GWAS) and reduce false positives