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:...

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...

New machine learning algorithm from Stanford team leads to the discovery of hundreds of potential drug targets for ALS

by Stanford Healthcare Innovation Team | Feb 3, 2022 | New Publication

In this study, Dr. Michael Snyder and his team found nearly seven hundred risk genes related to ALS (Amyotrophic Lateral Sclerosis) using a novel machine learning method, leading to a 5-fold increase in recovered heritability. Their findings give light to...

Longitudinal data study shows gut microbiome diversity changes at the subspecies level during antibiotic treatment

by Stanford Healthcare Innovation Team | Sep 23, 2021 | New Publication

Published on the August cover of Genome Research, a team led by Dr. Morteza Roodgar used a novel method of “read cloud” DNA sequencing to obtain resolution at the subspecies level. In this study, the team longitudinally tracked a patient’s gut...

Webinar: Prof. Eric Topol on The Future of Precision Medicine – Opportunities and Challenges

by Stanford Healthcare Innovation Team | Jul 14, 2021 | New Publication, Precision Medicine, Technology

We invited Prof. Eric Topol, the Director and Founder of Scripps Research Translational Institute, as a guest speaker to a new course in the Department of Genetics, Cloud Computing for Biology and...