The Statewide Planning and Research Cooperative System (SPARCS) is a comprehensive data reporting system established in 1979 as a result of cooperation between the health care industry and the New York State government. SPARCS currently collects patient level detail on patient characteristics, diagnoses and treatments, services, and charges for every hospital discharge, ambulatory surgery patient,...

The Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial was a large randomized controlled trial that assessed whether certain screening practices decreased deaths from prostate, lung, colorectal and ovarian cancer. Approximately 155,000 men and women aged 55 to 74 years old were enrolled from 10 screening centers across the United States between November 1993 and July 2001. Participants...

This study dataset contains data from 28 adult and pediatric patients who were recruited from NYU Langone's Inflammatory Bowel Disease (IBD) Center. Study inclusion and exclusion criteria are noted below. Inclusion criteria: Subjects must have a suspected diagnosis of ulcerative colitis or Crohn’s disease Controls must have no clinical suspicion of ulcerative colitis or Crohn’s disease Signed and...

The Emergency Use Authorization Database (EUAdb) contains information from the United States Food and Drug Administration (FDA) on emergency use authorizations (EUA) for RT-qPCR (real-time quantitative polymerase chain reaction) molecular testing protocols. The source documentation can be found on the FDA website. To create the EUAdb, information from the authorization letters and EUA summaries were...

Data was abstracted from NYU Langone Health electronic health records, the Perlmutter Cancer Center Data Hub, and the NYU Langone Health SARS-CoV-2 Data Mart for all patients treated for breast cancer at Perlmutter Cancer Center either through telemedicine or in-person between February 1, 2020 and May 1, 2020 to determine the incidence of SARS-CoV-2 infection associated with treatment with cytotoxic...

Investigators manipulated images from the NYU Breast Cancer Screening Dataset to identify differences in the the features of perception used in diagnosis by radiologists versus deep neural networks (DNNs). Two studies were conducted. In the reader study, a set of 720 exams were processed with Gaussian low-pass filtering at varying severity levels and ten radiologists and five DNNs (trained on unperturbed...

Since 2002, the Interdisciplinary Melanoma Cooperative Group (IMCG) at Perlmutter Cancer Center has maintained one of the largest clinicopathologic resources, the Melanoma Clinicopathological-Biospecimen Database and Repository, for research on patients 18 years old and over with melanoma or at high risk for melanoma. Clinical data is stored in a secure REDCap database which contains 653 fields to...

This study identified the gut microbiome during an acute enteric infection in patients with and without inflammatory bowel disease (IBD). A cross-sectional study was performed on 260 patients who underwent stool testing and tested positive for Clostridioides difficile, Escherichia coli, or norovirus, or negative for all pathogens, and 25 healthy controls. They collected the following data from the...

The National Health Service Hospital Episode Statistics (NHS HES) include over 1 billion medical records of patients who attended outpatient appointments, were seen at accident and emergency (A&E) departments, or were admitted to NHS hospitals in England. This data is collected and curated on a monthly basis and has been used for purposes such as research and service evaluation. HES consists of the...

Histomorphological Phenotype Learning (HPL) was developed as a self-supervised methodology to discriminatory features in microscopy images to aid in cancer diagnosis and management. The methodology partitions whole slide images (WSIs) into meaningful Histomorphological Phenotype Clusters (HPCs) that can be used to define and quantify morphological phenotypes which recur within and between cases. HPL...