Research

Study Finds Telemedicine Appointments Reduce Risk of Further Illness

Telemedicine appointments combined with in-person visits significantly reduced the risk of further illness for children with medically complex cases, according to results of a new study by researchers with The University of Texas Health Science Center at Houston (UTHealth).

Children with medically complex cases require intense care supervision for conditions like genetic diseases, feeding difficulties, and developmental delays.

Using Internet in Retirement Boosts Cognitive Function

Using the internet during your retirement years can boost your cognitive function, a new study has found.

Researchers from Lancaster University Management School, the Norwegian University Science and Technology and Trinity College Dublin examined the cognitive function of more than 2,000 retired people from across Europe, and found that post-retirement internet usage is associated with substantially higher scores on tests.

AI Tool Improves Accuracy of Breast Cancer Imaging

A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.

When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists' ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or biopsies, needed to confirm suspect tumors by 27 percent.

A Computer Algorithm Called 'Eva' May Have Saved Lives in Greece

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.

Contact-Tracing Apps could Improve Vaccination Strategies

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.

World First for AI and Machine Learning to Treat COVID-19 Patients Worldwide

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.

Scientists Synthesized a Yellow Fever Drug Suggested by AI

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.

Research News

Study Finds Telemedicine Appointments Reduce Risk of Further Illness

Using Internet in Retirement Boosts Cognitive Function

AI Tool Improves Accuracy of Breast Cancer Imaging

A Computer Algorithm Called 'Eva' May Have Saved Lives in Greece

Contact-Tracing Apps could Improve Vaccination Strategies

World First for AI and Machine Learning to Treat COVID-19 Patients Worldwide

Scientists Synthesized a Yellow Fever Drug Suggested by AI

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