User profiles for Nicole A. Cipriani
Nicole CiprianiThe University of Chicago Verified email at uchospitals.edu Cited by 3303 |
Pan-cancer image-based detection of clinically actionable genetic alterations
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their
microenvironment. Routine histopathology tissue slides, which are ubiquitously available, can …
microenvironment. Routine histopathology tissue slides, which are ubiquitously available, can …
Clinical and pathologic predictors of lymph node metastasis and recurrence in papillary thyroid microcarcinoma
Background: The treatment for patients with papillary thyroid microcarcinoma (PTMC) is
controversial because PTMC is often found incidentally and its prognosis is very good. Lymph …
controversial because PTMC is often found incidentally and its prognosis is very good. Lymph …
Lung cancer—a fractal viewpoint
Fractals are mathematical constructs that show self-similarity over a range of scales and non-integer
(fractal) dimensions. Owing to these properties, fractal geometry can be used to …
(fractal) dimensions. Owing to these properties, fractal geometry can be used to …
Thyroid nodule size at ultrasound as a predictor of malignancy and final pathologic size
Background: Thyroid-related mortality has remained constant despite the increasing incidence
of thyroid carcinoma. Most thyroid nodules are benign; therefore, ultrasound and fine …
of thyroid carcinoma. Most thyroid nodules are benign; therefore, ultrasound and fine …
MET as a target for treatment of chest tumors
NA Cipriani, OO Abidoye, E Vokes, R Salgia - Lung cancer, 2009 - Elsevier
The receptor tyrosine kinase MET has been studied of a large variety of human cancers,
including lung and mesothelioma. The MET receptor and its ligand HGF (hepatocyte growth …
including lung and mesothelioma. The MET receptor and its ligand HGF (hepatocyte growth …
Mucoepidermoid Carcinoma: A Comparison of Histologic Grading Systems and Relationship to: MAML2: Rearrangement and Prognosis
NA Cipriani, JJ Lusardi, J McElherne… - The American journal …, 2019 - journals.lww.com
Mucoepidermoid carcinoma (MEC) is the most common salivary gland malignancy, but
categorization is complicated by variability in grading systems and uncertain prognostic …
categorization is complicated by variability in grading systems and uncertain prognostic …
Follicular thyroid carcinoma: how have histologic diagnoses changed in the last half-century and what are the prognostic implications?
NA Cipriani, S Nagar, SP Kaplan, MG White, T Antic… - Thyroid, 2015 - liebertpub.com
Background: Follicular thyroid carcinoma (FTC) comprises 10% of differentiated thyroid
cancers. Diagnostic controversy and interobserver variability render the practical diagnosis of …
cancers. Diagnostic controversy and interobserver variability render the practical diagnosis of …
[HTML][HTML] Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features
Noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) are
follicular-patterned thyroid neoplasms defined by nuclear atypia and indolent behavior. They …
follicular-patterned thyroid neoplasms defined by nuclear atypia and indolent behavior. They …
[HTML][HTML] Deep learning generates synthetic cancer histology for explainability and education
…, AN Husain, H Li, R Grossman, NA Cipriani… - NPJ Precision …, 2023 - nature.com
Artificial intelligence methods including deep neural networks (DNN) can provide rapid
molecular classification of tumors from routine histology with accuracy that matches or exceeds …
molecular classification of tumors from routine histology with accuracy that matches or exceeds …
[HTML][HTML] Artificial intelligence can cut costs while maintaining accuracy in colorectal cancer genotyping
…, L Saulsberry, N Laiteerapong, NA Cipriani… - Frontiers in …, 2021 - frontiersin.org
Rising cancer care costs impose financial burdens on health systems. Applying artificial
intelligence to diagnostic algorithms may reduce testing costs and avoid wasteful therapy-…
intelligence to diagnostic algorithms may reduce testing costs and avoid wasteful therapy-…