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Patients’ CT and MRI scan results can be easily changed by hackers, thereby deceiving radiologists and Artificial Intelligence (AI) algorithms that diagnose malignant tumours, Israeli researchers have warned.

The researchers from the Ben-Gurion University (BGU) showed that hackers could access to add or remove medical conditions from lung cancer scans for the purposes of insurance fraud, ransom and even murder, Xinhua news agency reported.


As part of the attack, the hacker has full control over the number, size and location of the cancers while preserving the anatomy from the original, full resolution three-dimensional (3D) image.

To prove the feasibility of the attacks, the researchers broke with permission into an actual hospital network to intercept all CT (computed tomography) scans.

Although the hospital internal network is not connected to the internet, hackers can access it via the hospital’s WiFi or physical access to the infrastructure, the researchers said.


iDefense said the hackers are likely affiliated with a group known as MUDCARP, and also referred to as TEMP.PERISCOPE, Periscope and Leviathan. Pixabay

To inject and remove medical conditions, the researchers used a deep learning neural network called a generative adversarial network (GAN), which has been used in the past to generate realistic imagery, such as portraits of non-existent people.

After the “attack” the radiologists at the hospital misdiagnosed 99 per cent of the scans showing malignant tumours, and 94 per cent of altered images with cancerous images removed.

Also Read- Cyber Thugs Running ‘Criminal Flea Market’ on Facebook

After the radiologists were informed about the attack, they still misdiagnosed 60 per cent of altered scans falsely showing tumours and 87 per cent of those falsely showing no sign of the tumour, the report showed.

The researchers suggested several solutions, such as enabling encryption between the hosts in the hospital’s radiology network, digital signatures with a secure mark on each scan or hidden digital watermarks. (IANS)


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Photo by Alexander Shatov on Unsplash

Twitter has confirmed that its algorithms amplify right-leaning political content.

By Nikhila Natarajan

In a continuing study on the effects of machine learning (ML) on public conversation, Twitter has confirmed that its algorithms amplify right-leaning political content. "In six out of seven countries - all but Germany - tweets posted by accounts from the political right receive more algorithmic amplification than the political left when studied as a group," Twitter blogged.

"Right-leaning news outlets, as defined by the independent organisations, see greater algorithmic amplification on Twitter compared to left-leaning news outlets." Since 2016, Twitter users are able to choose between viewing algorithmically ordered tweets first in their home timeline or viewing the most recent tweets in reverse chronological order.

"An algorithmic home timeline displays a stream of tweets from accounts we have chosen to follow on Twitter, as well as recommendations of other content Twitter thinks we might be interested in based on accounts we interact with frequently, tweets we engage with, and more. "As a result, what we see on our timeline is a function of how we interact with Twitter's algorithmic system, as well as how the system is designed."

The new research is based on tweets of elected officials of House of Commons members in Canada, the French National Assembly, the German Bundestag, House of Representatives in Japan, Congress of Deputies of Spain, House of Commons in the UK, and official and personal accounts of House of Representatives and Senate members in the US, as well as news outlets, from April 1 to August 15, 2020.

gold Apple iPhone 6s displaying Twitter logo Tweets about political content from elected officials, regardless of party or whether the party is in power, do see algorithmic amplification when compared to political content on the reverse chronological timeline. | Photo by Sara Kurfeß on Unsplash

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Snapdeal co-founder and COO Rohit Bansal on Friday lauded a man who facilitated 64 registrations for the vaccine on the CoWin portal.

Even as India celebrates reaching a milestone of 100 crore Covid vaccine doses, Snapdeal co-founder and COO Rohit Bansal on Friday lauded a man who facilitated 64 registrations for the vaccine on the CoWin portal. In a video shared on his Facebook and Twitter page, Bansal hailed Sonu Kumar as a "citizen celebrity".

Bansal said that Kumar not only helped "just co-workers and family but complete strangers too. With patience, empathy and uncanny jugaad". He added that Kumar joined him "many moons ago" and completed his open school from a parking lot.

"Education has helped this wonderful man enable others to get India back on track. Bravo! The CoWin portal on Thursday mentioned that a total of 100 crore vaccine doses has been administered so far to the eligible population under the vaccination drive in India, nine months after the nationwide inoculation programme was started to protect the people against Covid-19.

"It's a cause of significant celebration and happiness," Bansal said in the video. He said that while people just help a few around them, Kumar "bridged the digital gap" for 64 people, who were finding it difficult to register themselves online on the vaccine portal. Kumar said he doesn't feel that he has contributed much towards the 100 crore vaccine dose count. "I have been able to help only 64 people, if I was able to help more I would have been happier." (IANS/ MBI)


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VOA

A health worker counts antiretroviral drug tablets for a patient at The AIDS Support Organization (TASO) in the capital Kampala, Uganda, July 12, 2012.

KAMPALA, UGANDA — Uganda has kickstarted a trial for the injectable HIV drugs cabotegravir and rilpivirine. Researchers and those living with HIV say the trial will likely end pill fatigue, fight stigma, improve adherence and ensure patients get the right dosage.

The two drugs have been in use as tablets. The World Health Organization last year licensed their use as injectables.

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