GNS Healthcare Blog

GNS Healthcare Blog

GNS Healthcare Primary Blog

By December 31, 1969

Hypothesis Free AI: Discovering the Insights We Didn't Know to Ask

 

Much research and analysis in healthcare is based on testing preconceived hypotheses – looking to  answer a narrow set of questions in the form of a hypothesis. Traditional statistical analyses begin with an explicit hypothesis – a specific statement of how variables interact to explain an observation or phenomenon – which is then statistically tested to confirm whether or not the data supports that position.

Artificial Intelligence (AI) is increasingly being used to carry out this type of healthcare testing from drug discovery to targeted interventions at the point of care. We have seen...

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Celebrating International Women’s Day: Healthcare Innovators

Tomorrow, March 8th, is International Women’s Day. While a public holiday in just a few countries, it is a day to celebrate the success and power of women from gaining suffrage to working their way into the board room. As such, we wanted to recognize some of the women in healthcare (and take it from us we could have featured hundreds if we had the room) who are leaders in their fields and driving innovation within their respective organizations, and healthcare as a whole.

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Lowering Barriers: How Real-World Data and AI Is Transforming Drug Market Access Strategy

This is the third in a three-part series on the impact of AI on the product development life cycle of drugs from discovery, to clinical trials and market access.  

 

Regulatory approval of a drug does not immediately translate into premier market access or projected results. The reality is that the pressure on pharma companies from health plans and pharmacy benefit managers (PBMs) to provide evidence-based research on treatment efficacy and effectiveness before including drugs on their formularies is only increasing.

The earlier pharma companies can answer these asks, the better. The goal...

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The New World of Drug Development: Transforming Clinical Trials with AI

The following is the second in a three-part series on the impact of AI on the product development life cycle of drugs from discovery, to clinical trials and market access.

 

The success of clinical trials relies heavily on having enough of the right patients willing and able to participate. Unfortunately, achieving the levels of recruitment necessary to conduct successful trials is difficult – particularly in cancer and rare diseases trials.

One recent survey revealed that only one in three cancer patients were likely to enroll in a clinical trial. Less than half of those surveyed viewed...

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Drug Discovery and AI: An Unlikely Marriage or Perfect Partners?

The following is the first in a three-part series on the impact of AI on the product development life cycle of drugs from discovery, to clinical trials and market access.

 

Biopharma companies and government funded research projects have produced stellar results over the years: from lifesaving drugs and to life improving therapies that benefit millions of patients. But these discoveries often come at a substantial financial cost and take many years to bring to market. In fact, the cost of bringing one drug from discovery to approval is currently estimated at between $1.8 and $3.0 billion....

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Follow the Tumor: How Oncology R&D is Leading the Charge in AI Implementation

 

In 2017, the American Cancer Society awarded $112 million for cancer research.[1] The National Institute of Health FY17 budget for cancer research was nearly $6 billion.[2]

Pharma companies are pouring billions of R&D dollars into developing new treatments for cancer and are looking for the best ways to maximize those investments. One of the, most effective research tools available and one increasingly leveraged by biopharma is artificial intelligence (AI), used to help unlock the complex mechanisms of cancer.

Oncology is an enormously complicated field, so it’s no surprise that...

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Revisiting 2018 Healthcare Predictions: 5 That Got It Right

The new year has just begun and the flurry of predictions for 2019 are popping up everywhere. Healthcare thought leaders have joined in offering their forecasts and ruminations around what we can expect over the next 12 months. We did the same and asked prominent thought leaders to offer their opinions in our prediction post earlier this year.

But what about the predictions made a year ago? How did the 2018 predictions actually turn out and what will continue into 2019? 

We took a look back to see what we could find. As expected, there were hits and misses but there were five that were on...

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2019: The Year AI Becomes Mainstream in Healthcare

 

If “following the money” is the quickest path to the root of a trend, then 2019 promises to be the year artificial intelligence takes center stage in the healthcare industry.

By 2024, AI in the U.S. healthcare market is set to exceed $10 billion according to a recent Global Market Insights report.[1] As nearly eight out of ten healthcare executives who responded to a recent cross-industry survey said their organizations are ramping up investments in big data analytics and AI, it should come as no surprise that the market is truly ramping up.[2] Nearly 80 healthcare AI startups raised...

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Social Determinants: The Missing Data Piece to Personalized Care?

Some experts estimate that between 60 to 80 percent of a person’s health condition is influenced by social factors, far outpacing the impact of direct clinical care¹.

Nutrition, housing, transportation, literacy and education, safety, language and social support are social determinants of health (SDOH) and are key drivers of health outcomes.

The World Health Organization defines SDOH as “the conditions in which people are born, grow, work, live, and age, and the wider set of forces and systems shaping the conditions of daily life.”²

Leaders across healthcare are recognizing the power of...

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2019 Predictions: Healthcare Thought Leaders  Weigh In

We asked industry thought leaders from across the healthcare ecosystem to weigh in on their predictions, hopes and ruminations for the year ahead.

From cancer therapy to data sharing to patient apps to affordability, we share some of 2019's most thoughtful predictions.

Here's what healthcare's thought leaders are saying.

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