AI Technology & Industry Review
NVIDIA, Mass General Brigham and 20 global hospitals launch federated learning initiative EXAM to build AI model for COVID-19 patient oxygen need prediction
Launched via the U of T Early-Stage Technology program (UTEST), Canadian startup Bridge7 is applying AI to improve the quality, consistency, and efficiency of cancer treatments.
The booming global pet care market is projected to grow to US$280 billion by 2025.
Researchers looks at current studies that are using AI to tackle the COVID-19 crisis and suggests some promising future research directions.
A research team has proposed non-contrast thoracic chest CT scans as an effective tool for detecting, quantifying, and tracking COVID-19.
The White House on Monday joined a number of research groups to announce the release of the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group.
“In epidemiology analysis, the relationship between people in space and time is very important,” explains Bao Jie, head of the JD Group city data management platform, “and human activity trajectories are a typical form of spatiotemporal data.”
DeepMind released the structure predictions for six proteins associated with SARS-CoV-2, the virus that causes COVID-19, using the most up-to-date version of their AlphaFold system.
Fast and accurate diagnosis is critical on the front line, and now an AI-powered diagnostic assessment system is helping Hubei medical teams do just that.
The tool can significantly accelerate the prediction time of a virus’s RNA secondary structure, affording frontline researchers an opportunity to better understand the virus and develop targeting vaccines in a time of crisis.
Synced Global AI Weekly February 2nd
A trio of AI detecting breast cancer papers from Google, NYU, and DeepHealth have triggered huge discussions. What are the breakthroughs? Is AI truly beating radiologists? Where exactly are we right now?
Synced Global AI Weekly January 5th
Figures from nonprofit organization Mental Health America show the severe depression rate for US youth increased from 5.9 to 8.2 percent over the last five years. The numbers provide a sobering glimpse of the shortcomings in mental health care, and some researchers are suggesting AI might be able to address the problem.
In the late 2000s Fortune Global 500 healthcare companies ramped up AI deployment in the industry, from in-hospital diagnosis and treatment to drug supply chain and out-of-hospital scenarios.
The two-day RE•WORK Deep Learning Summit Boston 2019 gathered more than 60 speakers from top AI labs such as MIT CSAIL, Uber AI Labs, Adobe Research and other experts from the AI healthcare industry who provided high-level deep learning technical discussions and industry application insights.
Synced Global AI Weekly May 19th
10 AI News You Need To Know From January W 2 – W 3