Performance effectiveness of vital parameter combinations for early warning of sepsis—an exhaustive study using machine learning

by Stanford Healthcare Innovation Team | Oct 14, 2022 | New Publication, Precision Medicine, Research

Authors: Ekanath Srihari Rangan MBBS, Rahul Krishnan Pathinarupothi PhD (Amrita), Kanwaljeet J.S. Anand MBBS D.Phil and Michael P. Snyder PhD In collaboration with Amrita University, Amritapuri, India, Read the published paper here:...

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity

by Stanford Healthcare Innovation Team | Sep 7, 2022 | COVID-19, Research

Featured on this month’s cover of Cell Systems: Highlights Authors: Sai Zhang, Johnathan Cooper-Knock, Annika K. Weimer, Minyi Shi, Lina Kozhaya, Derya Unutmaz, Calum Harvey, Thomas H. Julian, Simone Furini, Elisa Frullanti, Francesca Fava, Alessandra Renieri,...

Transcriptomic and proteomic data, cell lines, and cell culture resources that may be broadly enabling for non-human primate iPSC research

by Stanford Healthcare Innovation Team | Aug 31, 2022 | New Publication, Research

Featured on the cover of Cell Reports journal August 2022: Dr. Michael Snyder and team have released key findings. Read the study: https://bit.ly/3RnK9K3 Listen to the podcast: https://bit.ly/3TPiZxx This work is a step forward leveraging primate stem cells for future...

Behind the Research: Precision environmental health monitoring by longitudinal exposome and multi-omics profiling

by Stanford Healthcare Innovation Team | Jun 23, 2022 | New Publication, Precision Medicine, Research

In Conversation with Peng Gao Peng Gao is an assistant professor at The University of Pittsburgh’s School of Public Health and was formerly a postdoctoral fellow in The Snyder Lab at Stanford University School of Medicine. Peng’s most recent paper...

A cancer-associated RNA polymerase III identity drives robust transcription and expression of snaR-A noncoding RNA

by Stanford Healthcare Innovation Team | May 31, 2022 | News, Research, Research Study

Upregulation of POLR3G, which is driven by MYC, identifies a subgroup of patients with unfavorable survival outcomes in specific cancers,further implicating the POLR3G-enhanced transcription repertoire as a potential disease factor. Read a summary of this paper below...