Japanese electronics company Panasonic on Wednesday launched two new Artificial Intelligence (AI)-enabled smartphones – Eluga Z1 and Z1 Pro at Rs 14,490 and Rs 17,490 respectively.
Eluga Z1 and Z1 Pro come with 3GB + 32GB and 4GB + 64GB internal storage respectively which can be further expanded up to 128GB, Panasonic India said in a statement.
Powered by MediaTek Helio P22 processor, both the phones run on Android 8.1 Oreo and come with a dual SIM configuration.
Featuring a 2.5 curved metal design, the smartphones have a 6.19-inch HD+ display and are equipped with a 4000 mAh battery.
Panasonic adds new smartphone to ‘Eluga’ series. IANS
“The new Eluga Z1 and Z1 Pro have been built keeping in mind the technology savvy end user,” said Pankaj Rana, Business Head – Mobility Division, Panasonic India.
The new Eluga Z1 and Z1 Pro are integrated with 13+2MP AI-powered dual rear camera and 8MP front camera with flash.
"If we diagnose Alzheimer's disease when all the symptoms have manifested, the brain volume loss is so significant that it's too late to intervene," Sohn said
AI technique can boost brain scans to predict Alzheimer early. Pixabay
Artificial intelligence (AI) can help improve the ability of brain imaging techniques to predict Alzheimer’s disease early, according to a study.
Researchers from the University of California in San Francisco (UCSF) trained a deep learning algorithm on a special imaging technology known as 18-F-fluorodeoxyglucose positron emission tomography (FDG-PET).
They included more than 2,100 FDG-PET brain images from 1,002 patients and on an independent set of 40 imaging exams from 40 patients.
The results showed that the algorithm was able to teach itself metabolic patterns that corresponded to Alzheimer’s disease.
It also achieved 100 per cent sensitivity at detecting the disease an average of more than six years prior to the final diagnosis.
“We were very pleased with the algorithm’s performance. It was able to predict every single case that advanced to Alzheimer’s disease,” said Jae Ho Sohn, from UCSF’s Radiology and Biomedical Imaging Department.
“If FDG-PET with AI can predict Alzheimer’s disease this early, beta-amyloid plaque and tau protein PET imaging can possibly add another dimension of important predictive power,” he added, in the paper detailed in the journal Radiology.
While early diagnosis of Alzheimer’s is extremely important for the treatment, it has proven to be challenging.
The results showed that the algorithm was able to teach itself metabolic patterns that corresponded to Alzheimer’s disease, Pixabay
Although the cause behind the progressive brain disorder remains unconfimed yet, various research has linked the disease process to changes in metabolism, as shown by glucose uptake in certain regions of the brain.
These changes can be difficult to recognise.
“If we diagnose Alzheimer’s disease when all the symptoms have manifested, the brain volume loss is so significant that it’s too late to intervene,” Sohn said.
“If we can detect it earlier, that’s an opportunity for investigators to potentially find better ways to slow down or even halt the disease process,” he noted.
Sohn explained that the algorithm could be a useful tool to complement the work of radiologists — especially in conjunction with other biochemical and imaging tests — in providing an opportunity for early therapeutic intervention. (IANS)
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