scispace - formally typeset
D

Dania Daye

Researcher at Harvard University

Publications -  93
Citations -  1541

Dania Daye is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 15, co-authored 55 publications receiving 1079 citations. Previous affiliations of Dania Daye include Rice University & Brigham and Women's Hospital.

Papers
More filters
Journal ArticleDOI

Metabolic reprogramming in cancer: unraveling the role of glutamine in tumorigenesis.

TL;DR: This review discusses the roles of glutamine in contributing to the core metabolism of proliferating cells by supporting energy production and biosynthesis and how cells coordinate glucose and glutamine as nutrient sources.
Journal ArticleDOI

Identification of Intrinsic Imaging Phenotypes for Breast Cancer Tumors: Preliminary Associations with Gene Expression Profiles

TL;DR: Intrinsic imaging phenotypes exist for breast cancer tumors and correlate with recurrence likelihood as determined with gene expression profiling, which could ultimately help guide treatment decisions.
Journal ArticleDOI

Autofluorescence and diffuse reflectance spectroscopy of oral epithelial tissue using a depth-sensitive fiber-optic probe

TL;DR: Results indicate that the addition of depth selectivity can enhance the detection of optical changes associated with precancer.
Journal ArticleDOI

Complications of endovascular aneurysm repair of the thoracic and abdominal aorta: evaluation and management.

TL;DR: An overview of the most common complications that may occur following endovascular repair of thoracic and AAAs is provided and the current surveillance recommendations for detecting and evaluating these complications are summarized.
Journal ArticleDOI

Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case–control study with digital mammography

TL;DR: The ability to fully automate density estimation with digital mammography, particularly through the use of publically available breast density estimation software, could accelerate the translation of density reporting in routine breast cancer screening and surveillance protocols and facilitate broader research into theUse of breast density as a risk factor for breast cancer.