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 can be severe without a reliable system in place. Developing an effective backup strategy will protect your most valuable investment: your time.
In project management, risk is defined as… Read more
COVID, Cancer, and HPC Highlight the Computational Approaches for Cancer Workshop at SC by Patricia Kovatch
COVID-19 has transformed life around the globe. In NYC, where I work for the Mount Sinai Health System, we were at the center of the epidemic in the United States in March. At this time, our clinicians and researchers leveraged their domain expertise to focus solely on better understanding and treating this new disease. The spotlight on COVID-19 created new interdisciplinary teams that have already been fruitful: the discovery that the first COVID-19 cases in NYC came from… Read more
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking. The aims of this study were to analyze the electronic health records (EHRs) of patients who tested positive for COVID-19 and were admitted to hospitals in the Mount Sinai Health System in New York City; to develop machine learning models for making predictions about… Read more
The COVID-19 pandemic caused by infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to more than 100,000 deaths in the United States. Several studies have revealed that the hyper-inflammatory response induced by SARS-CoV-2 is a major cause of disease severity and death in infected patients. However, predictive biomarkers of pathogenic inflammation to help guide targetable immune pathways are critically lacking. We implemented a rapid multiplex cytokine assay to measure… Read more
We acknowledge the many papers that have been published through Minerva Supercomputing.
Read more about incredible research being done on Mount Sinai Scientific Computing machines.