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Machine Learning Is The Future Of Cancer Prediction

Posted on September 1, 2019 at 11:04 AM Comments comments (52)


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Every year, Pathologists diagnose 14 million new patients with cancer around the world. That’s millions of people who’ll face years of uncertainty.
Pathologists have been performing cancer diagnoses and prognoses for decades. Most pathologists have a 96–98% success rate for diagnosing cancer. They’re pretty good at that part.
The problem comes in the next part. According to the Oslo University Hospital, the accuracy of prognoses is only 60% for pathologists. A prognosis is the part of a biopsy that comes after cancer has been diagnosed, it is predicting the development of the disease.
It’s time for the next step to be taken in pathology.
Introducing Machine Learning....
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How is machine learning affecting genetic testing?

Posted on January 20, 2019 at 11:02 PM Comments comments (66)
 
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Machine learning is being applied to genetic testing in many different ways.
The applications are nearly endless. Machine learning is helping scientists to analyze DNA, decode the human genome, assess disease phenotypes, understand gene expression, and even participate in a process called gene editing, where DNA is actually “spliced” into an organism’s genetic code...
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While We Sleep, Our Mind Goes on an Amazing Journey

Posted on December 26, 2018 at 4:33 PM Comments comments (49)


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Nearly every night of our lives, we undergo a startling metamorphosis.

Our brain profoundly alters its behavior and purpose, dimming our consciousness. For a while, we become almost entirely paralyzed. We can’t even shiver. Our eyes, however, periodically dart about behind closed lids as if seeing, and the tiny muscles in our middle ear, even in silence, move as though hearing. We are sexually stimulated, men and women both, repeatedly. We sometimes believe we can fly. We approach the frontiers of death. We sleep.

Around 350 B.C., Aristotle wrote an essay, “On Sleep and Sleeplessness,” wondering just what we were doing and why. For the next 2,300 years no one had a good answer. In 1924 German psychiatrist Hans Berger invented the electroencephalograph, which records electrical activity in the brain, and the study of sleep shifted from philosophy to science. It’s only in the past few decades, though, as imaging machines have allowed ever deeper glimpses of the brain’s inner workings, that we’ve approached a convincing answer to Aristotle.

Everything we’ve learned about sleep has emphasized its importance to our mental and physical health. Our sleep-wake pattern is a central feature of human biology—an adaptation to life on a spinning planet, with its endless wheel of day and night. The 2017 Nobel Prize in medicine was awarded to three scientists who, in the 1980s and 1990s, identified the molecular clock inside our cells that aims to keep us in sync with the sun. When this circadian rhythm breaks down, recent research has shown, we are at increased risk for illnesses such as diabetes, heart disease, and dementia...
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Why you should define your fears instead of your goals

Posted on December 9, 2018 at 5:55 PM Comments comments (47)

 
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The hard choices -- what we most fear doing, asking, saying -- are very often exactly what we need to do. How can we overcome self-paralysis and take action? Tim Ferriss encourages us to fully envision and write down our fears in detail, in a simple but powerful exercise he calls "fear-setting." Learn more about how this practice can help you thrive in high-stress environments and separate what you can control from what you cannot.
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Data Scientists: The New Rock Stars of the Tech World

Posted on November 4, 2018 at 1:01 PM Comments comments (70)


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The data scientist role is fast becoming the most sought-after career in the technology world. Companies like Google, Facebook, Amazon and LinkedIn are using data scientists to help them maintain that innovative edge in the digital data era. And now data and technology enthusiasts are aspiring to become data scientists the same way some musicians aspire to become rock stars. Perhaps that's why some people are referring to data scientists as the new rock stars of the technology era.

Unfortunately, this role is still so new that there's still a level of obscurity about it, which means many wannabe data scientists are driving their tour buses down the wrong road. Do data scientists deserve their rock star reputations? We dive into the world of data science with an interview with Jake Porway, the data scientist from the R&D lab at The New York Times.
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Why Is Behavioral Economics So Popular?

Posted on October 21, 2018 at 2:55 PM Comments comments (32)


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Behavioral economics seems to have captured the popular imagination. Authors like Michael Lewis write about it in best sellers like “The Undoing Project,” while pioneers of the field like Daniel Kahneman popularize it in books like “Thinking, Fast and Slow.” Its lexicon of “nudging,” “framing bias” and “the endowment effect” has become part of the vernacular of business, finance and policymaking. Even “Crazy Rich Asians,” the summer’s blockbuster romantic comedy, features an explicit nod to “loss aversion,” a key concept in the field.
What is behavioral economics, and why has it become so popular? The field has been described by Richard Thaler, one of its founders, as “economics done with strong injections of good psychology.” Proponents view it as a way to make economics more accurate by incorporating more realistic assumptions about how humans behave....
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Online social change: easy to organize, hard to win

Posted on October 14, 2018 at 7:55 PM Comments comments (61)


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Today, a single email can launch a worldwide movement. But as sociologist Zeynep Tufekci suggests, even though online activism is easy to grow, it often doesn't last. Why? She compares modern movements -- Gezi, Ukraine, Hong Kong -- to the civil rights movement of the 1960s, and uncovers a surprising benefit of organizing protest movements the way it happened before Twitter.

This talk was presented at an official TED conference, and was featured by our editors on the home page.
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A Friendly Introduction to Machine Learning

Posted on October 7, 2018 at 3:46 PM Comments comments (68)

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It’s Time To Get Real About Digital Transformation.

Posted on September 23, 2018 at 12:09 PM Comments comments (67)
  

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Digital transformation, ugh! It hurts just to say it.

I’ve just returned from an amazing conference, hosted by Insight Venture Partners, where C-level leaders and board members discussed the opportunities and frustrations of digital transformation. By all accounts, getting this stuff right is really hard. Really hard.
Even for the smartest and most experienced leaders.

For these leaders, and others like them, the challenge has been to use digital transformation to establish or maintain product leadership. The results have not been encouraging. Change is always hard, but add the concerns of cybersecurity, cryptocurrencies, AI/ML, IoT and whatever the next startup is doing, and this change has a whole new layer of complexity.

So, how do you build a product leadership organization?...

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Robot co-workers? 7 cool technologies changing the way we work

Posted on September 9, 2018 at 2:11 PM Comments comments (73)


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Technology is poised to change the workplace. Soon you may have a robot for a co-worker or a microchip embedded under your skin that's a work ID.

Some innovations are already making an impact. Virtual reality, for example, is going beyond gaming to serve as a powerful workplace training tool.

One of the biggest areas where VR training can be useful is safety, according to J. P. Gownder, vice president at research firm Forrester.

A startup named Strivr designs VR experiences that allow construction workers who put on a VR headset to understand hazards before entering a site. Nurses can use it to learn more about medical devices they use to treat patients.

The technology can be put to quirkier use too. Strivr has worked with Walmart to prepare workers for Black Friday crowds. It's also worked with Dallas Cowboy and Minnesota Viking football players, making it easier for players to envision and learn plays even when they're off the field....
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