News & Announcements
Immune cell turned biomarker: Prediciting severity of lung scarring
By crunching a massive amount of patient data, scientists have found a marker that can predict survival of a life-threatening lung disease. The disease, called idiopathic pulmonary fibrosis, develops without warning and leads to irreversible scarring in the lungs, ultimately cementing the stretchy tissue over time until it can no longer expand.
Now Purvesh Khatri, PhD, and Nigam Shah, PhD, associate professors of medicine and of biomedical data science, have found a biomarker that flags which patients with pulmonary fibrosis are most at risk for imminent lung failure. A paper detailing the research was published in The Lancet Respiratory Medicine. Khatri and Shah are the senior authors, and graduate student Madeleine Scott is the first author.
Flagging a cholesterol-raising disease using AI
Stanford researchers have created an algorithm to detect familial hypercholesterolemia, a hard-to-diagnose genetic disease. Joshua Knowles, assistant professor of medicine, and Nigam Shah, associate professor of bioinformatics and PHS's Analytics working group co-chair, share senior authorship of the research.
There's a serious problem plaguing some older people: Loneliness
This article discusses how new approaches are needed to address loneliness among the elderly. VJ Periyakoil, associate professor of medicine and director of palliative care education and training, & faculty fellow, stanford center for population health sciences, is quoted here.
Simple tuberculosis test
A new inexpensive tuberculosis test could identify infection in kids, people with HIV/AIDS and others who can't take the routine test
Taking on poor air quality in South Asia brick by brick
This post highlights a story in the latest issue of Stanford Medicine magazine, that describes how Stephen Luby is working to improve air quality by reforming brick production in Bangladesh and South Asia. Luby is a professor of medicine and Senior Fellow at the Freeman Spogli Institute for International Studies.
How can doctors be sure a self-taught computer is making the right diagnosis?
This segment discussed the promises and pitfalls of applying artificial intelligence (AI) to medical care. Matthew Lungren, assistant professor of radiology and associate director of the Stanford Center for Artificial Intelligence in Medicine and Imaging, and graduate student Pranav Rajpurkar, who developed a deep learning algorithm that evaluates chest X-rays for signs of disease, were featured. The work of Nigam Shah, associate professor of bioinformatics and PHS's Analytics working group co-chair, and Stephani Harman, clinical associate professor of medicine, on the use of AI in palliative care, is also referenced here.
Climate change and suicide
In warmer temperatures suicide rates increase, leading to concerns about an uptick in suicides as the globe continues to warm.
Adding to the concern, a Stanford study led by economist Marshall Burke also finds a link between increased temperatures and suicide rates.
The opioid epdemic is increasingly killing black Americans. Baltimore is ground zero.
As Baltimore sees an increase in drug overdose deaths, city officials are trying to take steps to get people into care. Keith Humphreys, the Esther Ting Memorial Professor and a professor of psychiatry and behavioral sciences, is quoted in this story.
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