Scientific Computing and Data announcements, in publications, and in the news

Scientific Computing and Data News

High Performance Computing (HPC), Research Data Services (RDS), and Mount Sinai Data Warehouse (MSDW) impact the research community in contributions to science


Events, updates, and news from HPC, RDS, and MSDW

March 3, 2023 - HPC - Annual User Surveys Available

March 3, 2023 – Thank you to everyone who participated in the Annual User Surveys. To see Minerva HPC’s feedback, click here. To see Data Ark’s feedback, click here.

February 28, 2023 - RDS - REDCap Training Materials Now Available

February 28, 2023 – Thank you for attending the REDCap Introductory Training on Friday, February 24. Session materials, including the session recording, are now available! Click here for more.

February 23, 2023 - MSDW - Leaf and ATLAS Training Materials Now Available

February 23, 2023 Thank you to those who attended the introductory training session for Leaf and ATLAS cohort query tools today! Please see the PowerPoint Slide Deck and the session’s Video Recording. You can review all previous session materials on our Training and Tutorials page.

February 3, 2023 - RDS - REDCap Training on February 24

February 3, 2023 An introductory training session for new users of REDCap to set up and begin using REDCap will be on Friday, February 24, from 1:00-2:00 pm. Click here for more information and to register.

February 3, 2023 - MSDW - Leaf & ATLAS Training on February 23

February 3, 2023 An introductory training session for new users of Leaf and ATLAS cohort query tools will be on Thursday, February 23, from 12:00-1:00 pm. Click here for more information and to register.

February 2, 2023 - HPC - Minerva Spring Training Sessions

February 2, 2023 – Minerva Spring Training sessions are scheduled! Join us for Introduction to Minerva, Load Sharing Facility (LSF) Job Scheduler, and Running Jupyter Notebook and RStudio on Minerva. Click here for details and registration information.

February 1, 2023 - RDS - MarketScan Now Available on Data Ark

February 1, 2023 – A new Data Set–MarketScan–is now available on the Data Ark: Data Commons. Click here to read more.

February 1, 2023 - RDS - eRAP Login Transition

February 1, 2023 – eRAP login credentials are now synced to Mount Sinai’s Active Directory. Use your Mount Sinai School or Hospital login credentials to log in to eRAP. If you have difficulty logging in, please submit a ticket. As a reminder, all users must be connected to the Mount Sinai network or MSSM Campus by either being on site or connected with VPN tunnel to log in to eRAP.

In The News

Reports and news events for Scientific Computing and Data

July 26, 2022: The Mount Sinai Hospital Is Recognized in U.S. News & World Report “Best Hospitals” Rankings

The Mount Sinai Hospital was ranked in the top 20 in 10 specialties and improved its ranking in seven of those specialties. Specialties with significant rank improvements include:

  • Orthopedics, which had the biggest gain, rising to No. 8 from No. 14. Two years ago, the hospital ranked No. 24.
  • Pulmonology & Lung Surgery, which rose to No. 17 from No. 20. Two years ago, it ranked No. 27.
  • Cancer, which rose to No. 28 from No. 32. Two years ago, the hospital ranked No. 49.


Other departments to achieve top national honors include:

  • Cardiology/Heart Surgery, ranked No. 6
  • Neurology/Neurosurgery, ranked No. 9
  • Rehabilitation, ranked No. 13
  • Gastroenterology/GI Surgery, ranked No. 13
  • Diabetes/Endocrinology, ranked No. 14
  • Urology, ranked No. 14 (tie)
  • Ear, Nose & Throat, ranked No. 35 (tie)

Click here to read more.

Dec 1, 2021: Mount Sinai Named a Lead Site for Enrollment in Nationwide Study on the Long-Term Effects of COVID-19

Mount Sinai Named a Lead Site for Enrollment in Nationwide Study on the Long-Term Effects of COVID-19 ( Click here to read more.


Scientific Computing and Data resources utilized in publications

Abstract: Quantitative chest computed tomography combined with plasma cytokines predict outcomes in COVID-19 patients

by P. Kovatch, S. Nirenberg, et al. 2022 August | Background: Despite extraordinary international efforts to dampen the spread and understand the mechanisms behind SARS-CoV-2 infections, accessible predictive biomarkers directly applicable in the clinic are yet to be discovered. Recent studies have revealed that diverse types of assays bear limited predictive power for COVID-19 outcomes. Here, we harness the predictive power of chest computed tomography (CT) in combination with plasma cytokines using a machine learning and k-fold cross-validation approach for predicting death during hospitalization and maximum severity degree in COVID-19 patients. Patients (n = 152) from the Mount Sinai Health System in New York with plasma cytokine assessment and a chest CT within five days from admission were included. doi: 10.1016/j.heliyon.2022.e10166.

Science Stories: Pharmacology - Computer-Aided Structural Biology and Drug Discovery, Dr. Marta Filizola

Preserving Data: Who’s Got Your Back(up)? by Patricia Kovatch

Data management has become an essential part of research. Scientists need to be able to rely on their data infrastructures to recover data in case of disaster or to assist with reproducibility of their results. Ensuring a reliable data infrastructure and backup processes may not be the most exciting part of research, but consequences… Read more

Abstract: Before the Surge: Molecular Evidence of SARS-CoV-2 in New York City Prior to the First Report

by Hernandez MM. et al. 2021 February | New York City (NYC) emerged as a coronavirus disease 2019 (COVID-19) epicenter in March 2020, but there is limited information regarding potentially unrecognized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections before the first reported case. We utilized a sample pooling strategy to screen for SARS-CoV-2 RNA in de-identified, respiratory pathogen-negative nasopharyngeal specimens from 3,040 patients across our NYC health system who were evaluated for respiratory symptoms or influenza-like illness during the first 10 weeks of 2020. We obtained complete SARS-CoV-2 genome sequences from samples collected between late February and early March. Additionally, we detected SARS-CoV-2 RNA in pooled specimens collected in the week ending 25 January 2020, indicating that SARS-CoV-2 caused sporadic infections in NYC a full month before the first officially documented case. medRxiv:2021.02.08.21251303

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See other publications and research made possible through resources from Scientific Computing and Data

Supported by grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health.

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