New software for early diagnosis of Alzheimer's

December 31, 2012

Washington, Jan 1: Scientists have developed a new software that could significantly boost the early diagnosis of Alzheimer's disease.

The comparative software called PredictAD contrasts patient's measurements with those of other patients kept in large databases, then visualises the status of the patient with an index and graphics.

The support system and imaging methods were developed by VTT Technical Research Centre in Finland and Imperial College London, 'Gizmag' reported.

Researchers used material compiled in the US by the Alzheimer's Disease Neuroimaging Initiative based on the records of 288 patients with memory problems.

Nearly half of them were diagnosed with Alzheimer's disease on average 21 months after the initial measurements, which is about the same as the current European average of 20 months.

Researchers concluded that half of the patients could have been diagnosed with the disease around a year earlier, or nine months after the initial measurements. They say the accuracy of the predictions was comparable to clinical diagnosis.

There are several advantages of an early diagnosis of Alzheimer's. It can delay institutionalisation and slow down the progress of the disease.

It is also advantageous from the clinical trials perspective because if patients caught early can be included in the trials, treatment is likely to be more effective.

Working towards the same goal, researchers at Lancaster University in the UK recently developed an eye test method to detect early signs of Alzheimer's.

An estimated 35.6 people live with dementia worldwide, and that number is expected to rise to 65.7 million by 2030, according to 2010 figures.

The study findings were published in the Journal of Alzheimer's Disease.

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Agencies
May 14,2020

Social media platform WhatsApp assured the Supreme Court on Wednesday that it will not roll out its payment services without complying with all payment regulations and norms in the country.

A bench headed by Chief Justice S.A. Bobde and comprising Justices Indu Malhotra and Hrishikesh Roy took up the matter through video conferencing. Senior advocate Kapil Sibal, representing the social media platform, said "WhatsApp Inc makes a statement on behalf of his client that they will not go ahead with the payments' scheme without complying with all the regulations in force."

The statement was made during the hearing of a petition seeking a ban on payment through WhatsApp, as it does not conform to the data localization norms. The top court took the assurance made by WhatsApp on record.

WhatsApp made the statement during the hearing of a plea seeking a ban on its payment service, for not being in line with data localization norms.

In 2018, WhatsApp was granted a beta licence to launch its payment service, but a dedicated and separate app is yet to be launched. A petition was moved in the apex court that WhatsApp's existing model for its payments service should be declared inconsistent with the Unified Payment Interface (UPI) Scheme, as a separate dedicated app has not been offered by the company.

The petitioner NGO, Good Governance Chambers, argued that the National Payments Corporation of India (NPCI) and the Reserve Bank of India (RBI) must change its model on the lines of the UPI payment scheme, and its operations may be suspended until these conditions are met.

The apex court today asked the Centre, Facebook and WhatsApp to file their replies within three weeks and it will take up the matter thereafter. The court noted that the government may process the applications filed by WhatsApp in accordance with the law and there is no stay on the same. Facebook was represented by senior advocate Arvind Datar.

The petitioner argued that lapses have been found in relation to WhatsApp's claims of having a secure and safe technological interface for securing sensitive user data.

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News Network
May 7,2020

Toronto, May 7: Scientists have uncovered how bats can carry the MERS coronavirus without getting sick, shedding light on what triggers coronaviruses, including the one behind the COVID-19 pandemic, to jump to humans.

According to the study, published in the journal Scientific Reports, coronaviruses like the Middle East respiratory syndrome (MERS) virus, and the COVID19-causing SARS-CoV-2 virus, are thought to have originated in bats.

While these viruses can cause serious, and often fatal disease in people, bats seem unharmed, the researchers, including those from the University of Saskatchewan (USask) in Canada, said.

"The bats don't get rid of the virus and yet don't get sick. We wanted to understand why the MERS virus doesn't shut down the bat immune responses as it does in humans," said USask microbiologist Vikram Misra.

In the study, the scientists demonstrated that cells from an insect-eating brown bat can be persistently infected with MERS coronavirus for months, due to important adaptations from both the bat and the virus working together.

"Instead of killing bat cells as the virus does with human cells, the MERS coronavirus enters a long-term relationship with the host, maintained by the bat's unique 'super' immune system," said Misra, one of the study's co-authors.

"SARS-CoV-2 is thought to operate in the same way," he added.

Stresses on bats, such as wet markets, other diseases, and habitat loss, may have a role in coronavirus spilling over to other species, the study noted.

"When a bat experiences stress to their immune system, it disrupts this immune system-virus balance and allows the virus to multiply," Misra said.

The scientists, involved in the study, had earlier developed a potential treatment for MERS-CoV, and are currently working towards a vaccine against COVID-19.

While camels are the known intermediate hosts of MERS-CoV, they said bats are suspected to be the ancestral host.

There is no vaccine for either SARS-CoV-2 or MERS, the researchers noted.

Follow latest updates on the COVID-19 pandemic here

"We see that the MERS coronavirus can very quickly adapt itself to a particular niche, and although we do not completely understand what is going on, this demonstrates how coronaviruses are able to jump from species to species so effortlessly," said USask scientist Darryl Falzarano, who co-led the study.

According to Misra, coronaviruses rapidly adapt to the species they infect, but little is known on the molecular interactions of these viruses with their natural bat hosts.

An earlier study had shown that bat coronaviruses can persist in their natural bat host for at least four months of hibernation.

When exposed to the MERS virus, the researchers said, bat cells adapt, not by producing inflammation-causing proteins that are hallmarks of getting sick, but instead by maintaining a natural antiviral response.

On the contrary, they said this function shuts down in other species, including humans.

The MERS virus, the researchers said, also adapts to the bat host cells by very rapidly mutating one specific gene.

These adaptations, according to the study, result in the virus remaining long-term in the bat, but being rendered harmless until something like a disease, or other stressors, upsets this balance.

In future experiments, the scientists hope to understand how the bat-borne MERS virus adapts to infection and replication in human cells.

"This information may be critical for predicting the next bat virus that will cause a pandemic," Misra said.

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Agencies
February 5,2020

San Francisco, Feb 5: After a German artist, Simon Weckert, demonstrated how he "hacked" Google Maps with 99 smartphones and a wagon to create "virtual traffic jams" on the streets of Berlin, Google responded to the incident saying it "appreciates" creative use of maps.

Admitting that it has not quite cracked travelling by wagon, the tech giant also hinted that it might use cases like this to improve how its maps work.

"We appreciate seeing creative uses of Google Maps like this as it helps us make maps work better over time," 9to5Google quoted a Google spokesperson as saying.

In a YouTube video, Weckert showed that he put 99 smartphones with Google Maps onto a small wagon cart and then wheeled that cart around various streets in Berlin, including outside the Google office, Android Authority reported on Monday.

The smartphones "apparently fooled Google Maps" into thinking that there was a high concentration of users on those streets.

Because the second-hand phones were in a cart, Maps was further tricked into believing that the traffic was slow-moving.

As a result, the navigation app started showing virtual traffic jams by turning green streets to red in the online navigational tool, showcasing how digital technology can have a real impact on the real world.

"Traffic data in Google Maps is refreshed continuously thanks to information from a variety of sources, including aggregated anonymised data from people who have location services turned on and contributions from the Google Maps community," the Google spokesperson said.

"We've launched the ability to distinguish between cars and motorcycles in several countries including India, Indonesia and Egypt, though we haven't quite cracked travelling by wagon," the statement added. After a German artist, Simon Weckert, demonstrated how he "hacked" Google Maps with 99 smartphones and a wagon to create "virtual traffic jams" on the streets of Berlin, Google responded to the incident saying it "appreciates" creative use of maps.

Admitting that it has not quite cracked travelling by wagon, the tech giant also hinted that it might use cases like this to improve how its maps work.

"We appreciate seeing creative uses of Google Maps like this as it helps us make maps work better over time," 9to5Google quoted a Google spokesperson as saying.

In a YouTube video, Weckert showed that he put 99 smartphones with Google Maps onto a small wagon cart and then wheeled that cart around various streets in Berlin, including outside the Google office, Android Authority reported on Monday.

The smartphones "apparently fooled Google Maps" into thinking that there was a high concentration of users on those streets.

Because the second-hand phones were in a cart, Maps was further tricked into believing that the traffic was slow-moving.

As a result, the navigation app started showing virtual traffic jams by turning green streets to red in the online navigational tool, showcasing how digital technology can have a real impact on the real world.

"Traffic data in Google Maps is refreshed continuously thanks to information from a variety of sources, including aggregated anonymised data from people who have location services turned on and contributions from the Google Maps community," the Google spokesperson said.

"We've launched the ability to distinguish between cars and motorcycles in several countries including India, Indonesia and Egypt, though we haven't quite cracked travelling by wagon," the statement added.

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