GNS Healthcare Blog

GNS Healthcare Primary Blog

By December 31, 1969

GNS Healthcare Blog

The Promise of Precision Medicine is Not Misleading, It’s Just Beginning

Last week, an op-ed was published in the New York Times that asked an important question: Are patients being misled by the promise of precision medicine? The article, which focused on the treatment of various forms of cancer, posited that the successes achieved through precision medicine are relatively few when compared to its failures¹.

Precision medicine is a term that has been trending for several years (just try googling it). Previously, the healthcare industry had tried other avenues to produce better outcomes at lower costs. While the hype around what precision medicine can achieve...

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Making the Case for Data Diversity

The power and effectiveness of artificial intelligence (AI) and its continued integration into everyday life is becoming more widely accepted. This is especially true in healthcare where researchers are making significant strides in identifying the causes of and providing more effective treatments for major diseases.

But among these successes is a question of whether some AI results may be biased. A recent article in Fast Company acknowledges that AI should be “the great equalizer” because it is all about objective math and calculations. But the article raises the question of “creator...

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When Personalized Medicine Becomes Personal: Using AI to Fight Migraines

Imagine living with pain every day—when a four or five on a ten-point scale is a good day and eight or nine amounts to about a third of your days. Imagine not being able to do the thing you love – travel - because of noises, lights, smells, weather, and sleeping conditions. No more visits to the beach because of heat and bright sunlight. Cancelled plans, countless visits to doctors and emergency rooms, and trying to exist in a controlled environment of low light and minimal noise.

That’s the life my sister lives – a life trying to cope with chronic migraines. And it breaks my heart.

My...

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Fear versus Promise: The Conversation Continues Around AI

There is a wide and varied mix of opinions when it comes to artificial intelligence (AI). Peruse just about any publication and there’s likely to be an article or two on how AI will transform the way we live for the better or conversely how it is sure to overtake our lives in unimaginable ways.

Adding to the confusion, you have technology visionaries like Elon Musk saying, “I’m close to artificial intelligence (AI) and it scares the hell out of me”. Or Bill Gates calling AI “our biggest existential threat.”1  Given those impressions, it’s no wonder that many people today still fear the...

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Talent, Data, and Tech: An Inclusive Approach to Drug Development

Interest in applying artificial intelligence and machine learning to healthcare has reached a pinnacle. Every day there are a slew of new articles and reports discussing the various ways that algorithms can transform the industry and there are many interesting technologies being developed and deployed—from digital health technologies that aim to make care delivery more patient-centric to machines that use image recognition to identify tumors before the human eye can see them.

A big area of potential growth for the use of AI is in precision medicine— the ability to customize the treatment...

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All AI Is Not Equal: Why Cause and Effect is Crucial for Healthcare

Judea Pearl is not happy.

One of the pioneers of Artificial Intelligence in the 1980’s, Pearl said in a recent interview in The Atlantic that the field of AI is stuck in a world of reasoning by association and probabilistic predictions. Pearl thinks too many people are deploying AI to overcome uncertainty – predicting what will happen next by association rather than leveraging the power of the technology to deal with cause and effect. He goes on to say that AI and machine learning need to move more aggressively to evaluate interventions and causal models to gain true value1.

Healthcare...

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How AI and Precision Medicine are Converging to Create the Perfect Storm for Change

Four out of ten people with asthma don’t respond to their prescribed medicine. The same is true for half of arthritis sufferers. For cancer patients, the number is worse, with nearly eight out of ten patients failing to benefit from an FDA approved drug1.

What does this mean for healthcare? It means on average, half the treatments launched and prescribed in our three trillion dollar a year healthcare system are not effective for those they are intended to help. While these drugs have been rigorously developed, the fact is they simply don’t work for everybody.

And drugs are not the only...

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The power of physics and the complexity of biology: How AI is bringing them together

In the 1960s, physicists were trying to figure out what makes particles, such as atoms, electrons, and quarks, have mass. To answer this question, they examined existing known systems and developed complicated mathematical equations to explain and connect them, eventually coming up with something called the Higgs Field. Almost 40 years later, the Higgs Boson particle was proved to exist and is now an essential part of the particle physics model.

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NASH: The Lifestyle Disease on the Rise and the Role of AI

When most people hear or read about liver disease they most likely think of hepatitis or perhaps alcohol-induced cirrhosis. Though serious diseases, there is a more prevalent liver disease that is on the rise and affecting an estimated 16 million Americans [1].

The disease, NASH (nonalcoholic steatohepatitis) is expected to be the primary reason for liver transplants by 2020. Patients that have it experience few or no symptoms—most don’t even know they have it until it leads to cirrhosis or liver failure.  Worse, there are currently no approved medicines to treat it. The cost of the...

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How Precision Medicine Is Driving the Conversation Across the Healthcare Ecosystem

Not so long ago key stakeholders in the healthcare industry tended to operate in their own separate worlds. Biopharma companies, health plans, providers and healthcare consumers certainly interacted, but in most cases they each focused on dealing with their own specific challenges.

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