Research

Apple Watch Study Provides an Unprecedented Look at the Health Status of a Diverse Patient Population

Researchers in the health and wellness space have typically relied on people to report their personal health data, like activity levels, heart rate or blood pressure, during brief snapshots in time.

Wearable health devices, such as the popular Apple Watch, have changed the game, surfacing meaningful data that can paint a more complete picture of daily life and resulting health and disease for clinicians.

Worth a Thousand Words: Automated Diagnosis of COVID-19 from Chest CTs

In a little over 18 months, the novel coronavirus (Sars-CoV-2) has infected over 18 million people and caused more than 690,000 deaths. The current standard for diagnosis through reverse transcription polymerase chain reaction is limited owing to its low sensitivity, high rate of false positives, and long testing times. This makes it difficult to identify infected patients quickly and provide them with treatment.

New Program can Help COVID Alert App Improve Vaccination Campaigns

Researchers are developing a program that could be added to the COVID alert app used on smartphones to better target vaccination campaigns.

The COVID alert app is based on the Google-Apple exposure notification API (GAEN API), a functionality that the tech companies rolled out in April 2020. The Canadian government built an app around the GAEN API, which became the COVID alert app, and managed the system for uploading positive cases.

Ear Sensor Enables Safe Telemedical Care for COVID-19 Risk Patients

Using telemedicine, COVID-19 patients can be cared for safely at home - from initial home isolation to recovery or, in case problems arise, admission to hospital. A team from the Technical University of Munich (TUM) has now successfully demonstrated this in a study involving 150 patients with risk factors for a severe progression of the disease.

Scientists Show How AI may Spot Unseen Signs of Heart Failure

A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure.

Artificial Intelligence-Based Technology Quickly Identifies Genetic Causes of Serious Disease

An artificial intelligence (AI)-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy, according to a report by scientists from University of Utah Health and Fabric Genomics, collaborators on a study led by Rady Children’s Hospital in San Diego.

A Cryptography Game-Changer for Biomedical Research at Scale

Predictive, preventive, personalized and participatory medicine, known as P4, is the healthcare of the future. To both accelerate its adoption and maximize its potential, clinical data on large numbers of individuals must be efficiently shared between all stakeholders. However, data is hard to gather. It’s siloed in individual hospitals, medical practices, and clinics around the world.

Research News

Apple Watch Study Provides an Unprecedented Look at the Health Status of a Diverse Patient Population

Worth a Thousand Words: Automated Diagnosis of COVID-19 from Chest CTs

New Program can Help COVID Alert App Improve Vaccination Campaigns

Ear Sensor Enables Safe Telemedical Care for COVID-19 Risk Patients

Scientists Show How AI may Spot Unseen Signs of Heart Failure

Artificial Intelligence-Based Technology Quickly Identifies Genetic Causes of Serious Disease

A Cryptography Game-Changer for Biomedical Research at Scale

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