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4 March 2021, 2:00 am EST By
The impact of machine-learning in the current day has been much evident with its widespread application. For instance, face-recognition systems have been sought for convenience in detecting data, as companies wanted the ease of use of the technology to save time and resources.
However, others rely on privacy-preserving tools which rely on GANs or generative adversarial networks. GANs utilizes neural networks where materials like videos, images, speech, texts, and others can be created. Are they reliable enough to preserve private data?
What the Study Tells About Privacy-Preserving, Machine-Learning Tools
(Photo : Pixabay from Pexels)
Privacy-preservation tools have still a long way to go to retrieve private data from images.
Machine Learning Identifies Blood Biomarkers Of Autism by Karishma Abhishek on February 26, 2021 at 10:29 AM
Specific group of biomarkers identified in the blood - nine serum proteins using machine learning tools strongly predicts ASD. This may lead to an earlier diagnosis of children with autism spectrum disorder (ASD) that in turn, would help develop more effective therapies, as per research at UT Southwestern, published in PLOS ONE. neuro-developmental delay. It is primarily characterized by social, communication and behavioral challenges. Around 1 in 59 children are diagnosed with autism in the United States, with an average age of 4 years. Earlier diagnosis before the age of 4, trailed by prompt therapeutic support and intervention, could even have a significant effect on their symptoms like inflexible behaviors and the lack of communication or social skills.
google has staked its claim to be a major player in the healthcare sector using its phenomenal artificial intelligence and machine learning tools to predict patterns of illness in ways that might someday lead to new treatments and, who knows, even cures. that seems like a very positive analysis of what can come from a partnership between google and a medical group. what s your message to google about how they can do this and have it have a positive impact on people rather than the potential negative impact of a privacy invasion or a breech? well, what we re talking about here is very important data and patients do not know that this is happening. they were not informed and not given consent. i believe patients should have a say in that process. and the public should be able to dialogue about this and have a say. i think transparency is key. i think the deals around the hipaa, what google should be disclosed. it should be public information so it can be analyzed by third parties.
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