A prescriptive computer program developed by the USC Marshall School of Business and Wharton School of Business of the University of Pennsylvania for Greece to identify asymptomatic, infected travelers may have slowed COVID-19’s spread through its borders, a new study in the journal Nature indicates.

Mathematical modeling of disease spread suggests that herd immunity could be achieved with fewer vaccine doses by using Bluetooth-based contact-tracing apps to identify people who have more exposure to others - and targeting them for vaccination. Mark Penney, Yigit Yargic and their colleagues from the Perimeter Institute for Theoretical Physics in Ontario, Canada, present this approach in the open-access journal PLOS ONE on September 22, 2021.

Addenbrooke's Hospital in Cambridge along with 20 other hospitals from across the world and healthcare technology leader, NVIDIA, have used artificial intelligence (AI) to predict COVID patients' oxygen needs on a global scale.

The research was sparked by the pandemic and set out to build an AI tool to predict how much extra oxygen a COVID-19 patient may need in the first days of hospital care, using data from across four continents.

Yellow fever is a deadly disease in overpopulated tropical regions of Africa and South America. Infected people have a temperature increase to 39-41°C, chills, severe headache, nausea, and vomiting. The patient’s face becomes dull, the eyelids swell and the skin turns yellow due to liver damage (hence the name of the disease). Before the yellow fever vaccine was developed, the infection claimed thousands of lives for example in 1871, 8 percent of the population of Buenos Aires died in the epidemic.

Nearly two-thirds of thoracic oncologists surveyed indicated they used telehealth tools for the first time during the COVID-19 pandemic, according to a report issued at the IASLC 2021 World Conference on Lung Cancer.

Telehealth and telemedicine emerged as essential communications tools during the COVID-19 pandemic as alternatives to face-to-face consultation between patients and physicians.

A study in which machine-learning models were trained to assess over 1 million companies has shown that artificial intelligence (AI) can accurately determine whether a startup firm will fail or become successful. The outcome is a tool that has the potential to help investors identify the next unicorn.

The last thing you want to do when installing a new, free app on your phone is to scroll through pages of information on what kind of access to your personal information it requires. App builders count on this, and their intrusive apps harvest data that they can then sell. That is why University of Groningen computer scientist Fadi Mohsen, together with colleagues from the University of Michigan-Flint (US) and the Palestinian An-Najah National University, has developed an algorithm that ranks similar apps on privacy scores.