By: Catherine Graham

  1. Home
  2. News
Doctors gather around a patient's bed in the background. In the foreground, a monitor displaying the patient's vital signs.

AI Can Help Hospitals Triage COVID-19 Patients, CS’s Suchi Saria, IEEE Spectrum

As the coronavirus pandemic brings floods of people to hospital emergency rooms around the world, physicians are struggling to triage patients,...

A robot tends to a COVID-19 patient in the intensive care unit of an Italian hospital.

Meet humanity’s new ally in the coronavirus fight: Robots, CS’s Russ Taylor, Los Angeles Times

John C. Malone Professor Russell Taylor tells The L.A. Times that medical robots could be useful in intensive care units where risk of contamination is a major worry.

An illustration of the map of the world with location symbols and coronavirus molecules inside them. A person holds a tablet with coronavirus molecules in front of this map.

Hopkins researchers look to Twitter to evaluate social distancing measures

By comparing Twitter data from before and after the COVID-19 outbreak, Johns Hopkins University researchers found a profound impact on the...

An illustration of many hands holding smartphones, smartwatches, tablets, and laptops with coronavirus molecule and masking imagery on their screens. Words like "OUTBREAK," "COVID-19," "STAY HOME," "PANDEMIC," "LOCKDOWN", and exclamation points accompany the imagery. Coronavirus molecules hover in the air.

Social media fuels spread of COVID-19 information – and misinformation

John C. Malone Professor Mark Dredze discusses how social media can help combat—or contribute to—the spread of misinformation during the COVID-19 pandemic

Microscopic rendering of the coronavirus COVID-19.

Malone researchers publish socioeconomic dataset for predictive modeling of COVID-19

Mathias Unberath, assistant research professor in the Malone Center, and team have published an open-source, machine readable dataset related to socioeconomic...

Headshot of Ilya Shpitser.

Ilya Shpitser receives NSF CAREER Award

The five-year CAREER award will support his project, “Robust Causal and Statistical Inference in High Dimensional Structured Systems with Hidden Variables.”