Follow US:
UC Riverside study has implications for children’s television and autism spectrum disorder
UC Riverside experts discuss disease symptoms, vaccines, and anxiety management
UC Riverside-led study highlights need for regulation to protect public health
UC Riverside researcher argues important post-treatment information is concealed
UC Riverside study reports e-cigarette prolonged use may contribute to airway epithelium damage and lead to respiratory diseases
New UC Riverside program will train doctoral students on translating science into public policy
The School of Medicine at the University of California, Riverside, has received a grant of $1.87 million to establish the Inland Empire Regional Hub for Healthcare Opportunity, or IE RHHO, which will create a pre-med pathway for local community college students. The four-year grant funding is provided by the California...
Joint UC Riverside and UC Irvine study shows “near transfer” predicts “far transfer”
A relatively short exposure is sufficient to cause the damage, UC Riverside study finds
UniHealth Foundation grant to UC Riverside aims to increase the health and well-being of the unhoused population in Riverside County
UC Riverside study focused on farm-working communities in California’s Eastern Coachella Valley
UC Riverside epidemiologist weighs in on how protective your mask is when nobody around you is masked
UC Riverside-led study identifies how blood stem cells maintain their fate
SAVE focuses on mutations in SARS-CoV-2 and emerging virus variants
UC Riverside’s Dr. David Lo, a vaccine expert, shares his thoughts
UC Riverside-led research could lead to novel antimalarial therapeutic strategies
Simulations by UC Riverside-led team could help design nanocontainers used in drug delivery
UC Riverside-led study shows how an effective therapy against SARS-CoV-2 could be developed
Why cluster’s galaxies are unlike those in all the other known protoclusters is a mystery, says UC Riverside-led team
UC Riverside-led team develops new computational method that applies techniques from statistical physics mathematical models in epidemiology
