Search All News
Coronaviruses are adept at mimicking human immune proteins called complement, which may allow the viruses to gain a foothold in our bodies and cause disease.
New data mining techniques are uncovering previously hidden adverse drug effects that impact women more than men.
With high precision, a new algorithm predicts which patients treated for traumatic injuries in the emergency department will later develop post-traumatic stress disorder.
Kidney complications were more common in New York City COVID-19 patients than in COVID-19 patients from other regions, a new single-center study from Columbia researchers has found.
- May 15, 2020
Columbia University's new "COVID-19 Trial Finder" is a simplified method for patients, clinicians, and healthy volunteers to find appropriate COVID clinical trials near their home.
- March 24, 2020
Data scientists from Columbia University and around the world are starting to use the world’s electronic health records and databases to identify the best therapies for treating COVID-19 patients.
- February 18, 2020
Patients taking the recommended diuretic for hypertension experienced more potentially serious side effects than those taking a similar drug, according to a new study from Columbia researchers.
- August 30, 2019
CUIMC biologists developed a computer algorithm that uncovered previously unknown interactions between viruses and human proteins, providing new insights into Zika and HPV.
- August 20, 2019
Synthetic biologists at Columbia have created a technique that could prevent human-engineered proteins from spreading into the wild or mutating.
- November 14, 2018
With a genome that’s regularly broken into 225,000 pieces and reassembled, a pond protist may be the perfect creature to teach us how genomic stability—often lost in cancer—is maintained.
- September 17, 2018
A new study finds that regulatory gene variants can affect the severity of a genetic disease among people with the same protein-coding mutation.