Print view
 

AI identifies risk of cholesterol-raising genetic disease

Stanford scientists and their collaborators have devised an algorithm to predict the risk of a disease that, untreated, can lead to heart attack or stroke.
Stanford Medicine

A new algorithm can determine whether a patient is likely to have a cholesterol-raising genetic disease that can cause early, and sometimes fatal, heart problems, reports a new study conducted by researchers at the Stanford University School of Medicine and their collaborators.

The disease, known as familial hypercholesterolemia, is often misdiagnosed as garden-variety high cholesterol.

“We think that less than 10 percent of individuals with FH in the United States actually know that they have it,” said Joshua Knowles, MD, PhD, assistant professor of cardiovascular medicine at Stanford. It’s a serious oversight, he added, because an FH patient with high cholesterol is three times more likely to develop early heart disease than someone who has high cholesterol but not FH. A person with FH faces 10 times the risk of heart disease as someone with normal cholesterol.

Knowles and Nigam Shah, MBBS, PhD, associate professor of medicine and of biomedical data science, have come up with a solution to help catch more cases of FH: a computer algorithm that flags patients who are likely to have the disease. In test runs of the algorithm, it correctly identified 88 percent of the cases it screened. Theoretically, if the algorithm were used in a clinic, any patient it flagged as having FH could undergo further genetic testing to verify the algorithm’s calculation.

Read the whole article in the Stanford Medicine News Center.

Autor: Hanae Armitage, 11th April 2019   Quelle: Stanford Medicine
"Going International promotes access to education and training for all regardless of social, geographic and national borders."
Weitere News
Emerging respiratory viruses, including nCoV: methods for detection, prevention, response and control
Watch the GAP! A critical civil society perspective on the “Global Action Plan for Healthy Lives and Well-Being for All”
ESTHER Switzerland Call for Proposals 2020
Evidence-based toolkit offers solutions to improve environment, health, and reduce inequalities
Public health emergencies occurring in the WHO African Region
Catalysing Change for Gender Equality
TMW Center launches bilingual resources to advance brain development for children
Short sleep may harm bone health in older women
Human Trafficking – It Came Disguised as the Opportunity of a Lifetime
Studies Yield ‘Impressive’ Results in Fight Against Cystic Fibrosis
Study finds functional medicine model is associated with improvements in health-related QOL
NHS treating 5,000 diabetics a day as one in 10 patients now suffer with illness, figures reveal
Bangladesh’s Climate Change Victims Safeguard the Sundarbans’ Endangered Dolphins
European Health Leadership Award 2019
Wall Street can Free the World’s 40 Million Modern-Day Slaves
Financing Health Promoting Services
One person dies by suicide every 40 seconds: new UN health agency report
One person dies by suicide every 40 seconds: new UN health agency report
A ‘Cure’ for Ebola but Will it Stop the Outbreak if People Won’t Get Treatment?
The Role of Women’s Organisations in Crisis-Settings
Statement on World Day against Trafficking in Persons
Vaccine Fast Facts
CRA shortage is worsening while demand grows – a vicious circle which opens masses of job opportunities
Why Doctors Hate Their Computers
Junior hospital doctors
90–90–90 Treatment for All
Incident Management System
Incident Management System
An Economy for the 99%
European Virus Archive goes global
Establishing a Global Vaccine-Development Fund

Newsletter Sign Up

 

Ärzte der WeltAlumni Club Medizinische Universität WienHelix - Forschung & Beratung WienÖsterreichische Gesellschaft für Public HealthÄrztekammer für WiennewTreeHilfswerk AustriaCentro per la Formazione Permanente e l'Aggiornamento del Personale del Servizio Sanitario