GNS Healthcare Blog

GNS Healthcare Primary Blog

By December 31, 1969

GNS Healthcare Blog

Location, Location, Location: AI Identifies Tumor Sidedness as Key Indicator of Progression in Metastatic Colorectal Cancer

Location matters, especially when it comes to tumors in colon cancer. The issue of “sidedness” – whether tumors are located on the right or left side of the intestine – and what impact that has on the progression of metastatic colorectal cancer (CRC) has been a topic of discussion in the clinical community for several years. A complete understanding of sidedness has not been well understood by researchers and clinicians. Is sidedness an independent driver, confounded by other factors, or a simply a surrogate for other determinants?  By leveraging artificial intelligence (AI) and causal...

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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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Data and AI Taking Center Stage at BIO 2018

“AI is your rocket ship and data is the fuel."

Michael Dell said this to customers and partners at his annual conference, but the message will be one of the key takeaways for the 16,000 attendees expected at the 2018 BIO International Convention to be held in Boston next week. More than 5,000 companies from 70 different countries will be represented at the gathering that brings together biotechnology and pharma leaders for a week of intensive networking to discover new opportunities and promising partnerships. Discussions cover a wide spectrum of life science and application areas...

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Now that we have data, how do we leverage it to deliver precision medicine?

 

The efforts to generate and gather healthcare data have paid off. Approximately 61% of Americans are using wearable devices to track their health1, nearly 87% of doctors use electronic health record (EHR) systems in their offices2, and as of May 2018, there are more than 96 thousand clinical trial sites in the US generating clinical data3. These millions of data points mean that as much as 30% of the entire world’s stored data is generated in the healthcare industry4. Due to this abundance, we are on the precipice of making precision medicine a reality by better understanding disease and...

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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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How the next generation of data is moving the needle to make precision medicine a reality

The growth of “big data” has revealed one undeniable truth: the more data available, the better the insights and the more that you can learn.  That is certainly the case in the healthcare industry where biopharma, health plans and providers are generating, consuming and collecting more data than ever before.

Traditional data sources like electronic health system records (EHR), claims, and labs spurred a wave of population health efforts in the early 2000's. These programs promised to reduce costs and improve outcomes for patients, but were based on models of care for a hypothetical average...

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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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3 Ways Machine Learning is Transforming Drug Development

A recent study revealed that nearly half of all pipeline compounds and close to three quarters of oncology compounds are utilizing biomarker data during the drug development process. The same report indicated that investment in biomarker identification by biopharma has doubled over the past five years and is forecasted to increase over the next half decade. [1] 

Biopharma’s increasing reliance on molecular data (most commonly genomic and proteomic) and the identification of specific biomarkers in the drug development process should not be surprising. Healthcare is transitioning to...

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The Data Analytics Pyramid – Climbing to Optimization & Inference

The availability of data combined with the power of Artificial Intelligence (AI) is causing disruption and raising questions across a number of industries, including healthcare. The electronic medical record has provided digitized health information. Genomic data is now working its way into datasets. There have been impactful innovations in the areas of targeted intervention, drug and device development, software applications, population health approaches, collaboration among healthcare stakeholders and, precision medicine.

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