Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
Previous columns in this series introduced the problem of data protection in machine learning (ML), emphasizing the real challenge that operational query data pose. That is, when you use an ML system, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
TORONTO--(BUSINESS WIRE)--integrate.ai, a SaaS company helping developers solve the world’s most important problems without risking sensitive data, today announces the availability of its ...
In a recent study posted to the Preprints with The Lancet SSRN* server, a team of researchers in China developed a machine learning-based diagnostic tool to detect tuberculosis and drug-resistant ...
Since the dawn of the iPhone, many of the smarts in smartphones have come from elsewhere: the corporate computers known as the cloud. Mobile apps sent user data cloudward for useful tasks like ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
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