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DeepMind AI Can Predict Kidney Failure 48 Hours Early

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Artificial intelligence can predict a leading cause of preventable patient harm up to two days before it occurs.

Google’s DeepMind, in partnership with the U.S. Department of Veterans Affairs, developed technology that could give doctors a 48-hour head start in treating acute kidney injury (AKI).

The condition (previously known as acute renal failure) causes build-up of waste in the blood, making it hard for the kidneys to balance fluid; the result is often a sudden failure or damage that occurs over a few hours or a few days.

Affecting up to one in five hospitalized patients in the US and UK, AKI is notoriously difficult to spot, and deterioration can happen quickly.

Machine learning to the rescue!

Using anonymized health records from the VA network, DeepMind’s AI correctly predicted nine out of 10 patients whose condition deteriorated so severely they required dialysis.

“This could provide a window in the future for earlier preventative treatment and avoid the need for more invasive procedures like kidney dialysis,” study co-authors Dominic King and Mustafa Suleyman wrote in a blog post.

The team hopes the model will one day be used to identify other major causes of disease and deterioration, including life-threatening infection sepsis.

Their research was published this week in the journal Nature.

DeepMind wants to use AI to give doctors a 48-hour head start on life-threatening illness (via DeepMind)

“This is our team’s biggest healthcare research breakthrough to date, demonstrating the ability to not only spot deterioration more effectively, but actually predict it before it happens,” Suleyman and King said.

The technology, however, won’t help anyone without the right tools to alert specialists.

“Better technology is desperately needed so that critical information can be delivered to the right specialist at the right time,” DeepMind said.

Enter Streams, a mobile medical assistant for clinicians, which has been in use at the Royal Free London NHS Foundation Trust since early 2017.

The app allows specialists to review urgent cases in 15 minutes or less—a process that might otherwise take several hours—and helps reduce the number of AKI cases missed at the hospital.

“Getting the right information about the right patient at the right time is a huge problem for healthcare systems across the globe,” according to King and Suleyman.

“These results comprise the building blocks for our long-term vision of preventative healthcare, helping doctors to intervene in a proactive, rather than reactive, manner,” they added.

Research, led by David Feinberg, will continue as part of Google Health.

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Apple Card Launches for All U.S. iPhone Users

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Apple Card is now available to all U.S. iPhone owners.

Following an invite-only launch earlier this month, Cupertino on Tuesday announced expanded applications for its Goldman Sachs-backed MasterCard.

Compatible with most iPhones running iOS 12.4, the bank card is managed entirely via Apple Wallet; sign up by tapping the plus icon in the upper right corner of the app.

Users can also request a physical (titanium!) card—free of charge.

“We’re thrilled with the overwhelming interest in Apple Card and its positive reception,” Jennifer Bailey, vice president of Apple Pay, said in a statement. “Customers have told us they love Apple Card’s simplicity and how it gives them a better view of their spending.”

That includes 24/7 support, weekly and monthly spending summaries, and a transaction history featuring full names of vendors and splash images matching the spending category.

Plus, you don’t have to worry about annual, late, international, or over-the-limit fees.

With no card number, CVV security code, expiration date, or signature on the card, Apple Card is more secure than any other physical credit card (via Apple)

The credit card also boasts a Daily Cash rewards program, which gives back a percentage of every purchase as cash:

  • 1 percent for purchases made with the titanium Apple Card
  • 2 percent for purchases made with Apple Card through Apple Pay
  • 3 percent for purchases made directly with Apple (in-store or online)

As an added bonus, Cupertino partnered with Uber to offer 3 percent cash back on all ridesharing and meal deliveries when using Apple Pay.

The firm will “continue to add more popular merchants and apps in the coming months,” according to a company announcement.

Despite ties with high-falutin bank Goldman Sachs—not exactly known as a friend of the lower classes—a majority of early-access users were accepted for the card.

Credit limits, however, range from a couple hundred dollars to many thousands, depending on the applicant’s income, among other factors, Ars Technica reported.

Apple Card does not track where customers shop, what they buy, or how much they spend.

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General

Android Q is Android 10 In Brand Update

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Google has lost its sweet tooth: After 10 years of confections, Android OS is being rebranded.

This year’s Android Q—admittedly one of the alphabet’s hardest letters to associate with a snack food—is officially known as Android 10.

And that’s it.

No quince, quavers, or quarter-pounder. Just Android 10.

Which is a bit of a letdown, following a decade of candied updates—from Cupcake, Donut, Eclair, Froyo, Gingerbread, Honeycomb, and Ice Cream Sandwich to Jelly Bean, KitKat, Lollipop, Marshmallow, Nougat, Oreo, and Pie.

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Part of the Android experience, these nicknames—internal codes used by Google’s engineering team—were “a fun part of the release each year,” Sameer Samat, vice president of product management, wrote in a blog announcement.

“But we’ve heard feedback over the years that the names weren’t always understood by everyone in the global community,” he said.

The letters “L” and “R,” for instance, are indistinguishable in some languages, making it difficult to know that Lollipop referred to the version after KitKat.

And while sweet pies and fluffy marshmallows do make for a delicious treat, they are not particularly popular in many parts of the world.

Numbers, however, are globally recognized.

A refreshed look for the brand (via Google)

“This next release of Android will simply use the version number and be called Android 10,” Samat explained. “We think this change helps make release names simpler and more intuitive for our global community.

“And while there were many tempting ‘Q’ desserts out there,” he teased, “we think that at version 10 and 2.5 billion active devices, it was time to make this change.”

That’s not Android’s only transition, though: The platform has introduced a “more modern, accessible” brand aesthetic.

The design, rolling out soon with the final release of Android 10, draws inspiration from the company’s robot mascot, which “has long been a symbol of the fun and curiosity at the heart of Android,” Samat said.

New black font also makes the logo easier to read—especially for those with visual impairments.

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General

Try These Four Policies to Dismantle Online Hate Groups

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A first-of-its-kind mapping model tracks how hate spread and adapts online—providing what researchers hope is a blueprint for stopping it.

Analysts from the University of Miami and George Washington University developed a chart showing how “global hate highways” can bridge social networks, geographic borders, languages, and ideologies.

“Hate destroys lives,” GW physics professor Neil Johnson said in a statement. “Not only as we’ve seen in El Paso, Orlando, and New Zealand, but psychologically through online bullying and rhetoric.”

The team focused on global platform Facebook, as well as its European counterpart VKontakte—the most popular site in Russia.

Over a period of a few months, they mapped how clusters (groups or pages that build a community based on shared views, interests, or purposes) interconnect to spread narratives and attract recruits.

The results, published this week in the journal Nature, suggest a sort of Catch-22 for social media companies and their users.

While administrators are expected to aggressively eradicate hate content, banning trolls from one platform often compels them to move to another—simply shifting the resentment instead of eliminating it.

“It is essentially a whack-the-mole game,” senior study author Stefan Wuchty, an associate professor at UM, explained. “Once you whack one mole it will show up somewhere else.

“It is counter-intuitive, but pushing hate groups from social media platforms actually has the opposite effect,” he continued. “It creates a more concentrated assembly of those groups on a different platform.”

A researcher team mapped how clusters of hate interconnect to spread narratives and attract new recruits (via University of Miami/George Washington University)

At the core of the problem, Wuchty pointed out, is social media platforms’ reluctance to work together and unite their policies for change. Until then, hate groups will only continue to grow across the world wide web.

“The analogy is no matter how much weed killer you place in a yard, the problem will come back, potentially more aggressively,” according to Johnson.

“In the online world, all yards in the neighborhood are interconnected in a highly complex way—almost like wormholes,” he said. “This is why individual social media platforms like Facebook need new analysis such as ours to figure out new approaches to push them ahead of the curve.”

The team proposed four distinct policies that, if executed properly, could cut hate groups off at the knees:

Ban numerous small hate clusters rather than a few large ones. The idea is that abundant small groups are easier to locate, and eliminating them prevents the emergence of other large clusters.

Ban small numbers of users selected at random from online hate clusters. This random-targeting approach avoids potential violations of privacy regulations.

Promote the organization of anti-hate clusters. These groups could serve as a “human immune system” to fight and counteract haters.

Introduce an artificial group of users to encourage interactions between hate clusters with opposing views. Researchers hope the members will battle out their differences among themselves, instead of taking their anger out on the public.

The latter two would require little direct intervention by platform administrators.

Study authors are aware, however, that setting opposing clusters against each other “would require meticulous engineering.”

“We set out to get to the bottom of online hate by looking at why it is so resilient and how it can be better tackled,” Johnson said. “Instead of love being in the air, we found hate is in the ether.”

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