AI, Technology & Innovation
Researchers were able to devise an app that can determine which skin lesions are caused by mpox with an accuracy of 90%.
Blood test identifies infections
A diagnostic test developed by Stanford Medicine scientists can separate bacterial and viral infections with 90% accuracy, the first to meet standards set by the World Health Organization.
Fastest genome sequencing
A research effort led by Stanford scientists set the first Guinness World Record for the fastest DNA sequencing technique, which was used to sequence a human genome in just 5 hours and 2 minutes.
Smartwatch stress alerts
Stanford Medicine researchers created an algorithm to notify smartwatch wearers of stress, capturing events such as air travel, extended exercise and illness.
Data consult helps in diagnosis, treatment
Stanford Medicine researchers created a new type of medical consult that harnesses millions of electronic health records to bring new insights to patient care.
Evaluating papers through patents
By tracking which scientific papers are cited by patents, researchers can quantify which studies contribute to real-world applications.
Stanford Medicine unveils 2020 Health Trends Report
The report documents key trends steering the industry’s future, including a maturing digital health market, new health laws opening patient access to data, and artificial intelligence gaining regulatory traction for medical use.
Tapping EHRs to evaluate medical devices
Researchers used artificial intelligence and de-identified data from electronic health records to identify the safest types of hip implants.
Real-world data in the clinic
In an interview, computational biologist Tina Hernandez-Boussard discusses analyzing the value of electronic health records as a source of information in the clinic.
Big data, the patient and the provider
Invisible sensors, machine learning for disease diagnoses, big data in the clinic and more took the stage as topics at this year’s Big Data in Precision Health Conference.
Revealing health through big data
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease, a Stanford-led study reports.
New biomedical data science chair named
Sylvia Plevritis, director of the Stanford Center for Cancer Systems Biology, has been tapped to lead the Department of Biomedical Data Science.
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