Feature Channels:

Apps

Add to Favorites Subscribe Share
fbshare-Apps

Showing results

110 of 525
  • Embargo expired:
    16-May-2019 12:05 AM EDT

Article ID: 712888

Children Who Use Asthma Tracking App Have Better Disease Control and Fewer Hospital Visits

University of Utah Health

An app that allows parents and doctors to monitor a child’s asthma has a big impact on managing the disease. When families monitored symptoms with eAsthma Tracker and adjusted care accordingly, children had better asthma control and made fewer visits to the emergency department. Using the app also meant that children missed fewer days of school and parents took fewer days off work, improving quality of life.

Released:
15-May-2019 8:00 AM EDT

Article ID: 712967

First smartphone app that can hear ear infections in children

University of Washington

Researchers at the UW have created a new smartphone app that can detect fluid behind the eardrum by simply using a piece of paper and the phone’s microphone and speaker.

Released:
15-May-2019 5:05 PM EDT

Article ID: 712936

Clinicians could prescribe fitness apps to help cancer survivor's exercise

University of Surrey

Fitness apps could be prescribed by clinicians to help patients recovering from cancer increase their physical activity levels

Released:
15-May-2019 2:05 PM EDT
Logo.png
  • Embargo expired:
    8-May-2019 9:00 AM EDT

Article ID: 711980

Connecting journalists with quality fact check sources, Newswise adds Google Fact Check

Newswise

This month, Newswise launches Google Fact Check as a new submission option for their network of communicators at more than 400 institutions worldwide. Submissions to this feed will be configured specifically for indexing as a fact check article in Google News and traditional search, in addition to standard distribution in the Newswise wires and website reaching more than 7,000 media subscribers.

Released:
8-May-2019 9:00 AM EDT

Arts and Humanities

unnamed1.jpg
  • Embargo expired:
    7-May-2019 2:00 PM EDT

Article ID: 712172

Can a Mobile Phone-Based Behavioral Intervention Affect Weight Regain?

PLOS

A scalable, mobile phone-based intervention designed to slow weight regain after an initial weight loss had no significant effect on participants’ weight, according to a study published this week in PLOS Medicine by Falko Sniehotta from Newcastle University, UK and colleagues.

Released:
30-Apr-2019 4:35 PM EDT

Article ID: 712317

Online Tool Gives Surgeons and Their Patients Probabilities for the Success of Their Ventral Hernia Repair Operation

American College of Surgeons (ACS)

A surgeon-developed online app can be used by patients and their surgeons to help guide preoperative planning and establish expectations for how a patient’s ventral hernia repair operation will turn out, according to new study findings.

Released:
2-May-2019 4:05 PM EDT
GWU_logo.png

Article ID: 712265

Mobile Prenatal App Shown to Reduce In-person Visits During Pregnancy

George Washington University

Using the mobile app Babyscripts reduced in-person prenatal care visits while maintaining patient and provider satisfaction, according to research published in JMIR mHealth and uHealth by physician researchers from the George Washington University

Released:
2-May-2019 11:00 AM EDT
happy-decision.png

Article ID: 712175

Researchers at Texas State Use Machine Learning to Help Children with Autism Identify Facial Expressions

Texas State University

A team of Texas State University researchers including; Dr. Damian Valles, assistant professor at the Ingram School of Engineering; Dr. Maria Resendiz, associate professor for the College of Health Professions; and graduate student MD Inzamam Haque, is developing a mobile application to help children with ASD recognize facial expressions on a device screen allowing children to better interpret nonverbal ques in social settings.

Released:
1-May-2019 9:00 AM EDT
FitRecsmallucsdnews.jpg

Article ID: 711707

This deep learning powered tool creates better personalized workout recommendations from fitness tracking data

University of California San Diego

Computer scientists at the University of California San Diego have developed FitRec, a recommendation tool powered by deep learning, that is able to better estimate runners’ heart rates during a workout and predict and recommend routes. The team will present their work at the WWW 19 conference May 13 to 17 in San Francisco.

Released:
22-Apr-2019 1:05 PM EDT
PennMed_logo.png
  • Embargo expired:
    12-Apr-2019 10:45 AM EDT

Article ID: 711056

App Predicts Risk of Developing Hernia Following Abdominal Surgery

Perelman School of Medicine at the University of Pennsylvania

A new app can predict the likelihood that a patient will develop an incisional hernia following abdominal surgery, using big data to potentially help address a problem effects one out of every eight of these surgical patients.

Released:
10-Apr-2019 9:00 AM EDT

Showing results

110 of 525

Chat now!