Oncology & Genomics

Each day, oncology leaders and advocates are working to advance cancer care in an era of healthcare transformation. Watson Health is bringing an unprecedented combination of resources and technologies to help overcome the challenges they face.

Power to the patient: A new era in cancer care

Stakeholders across Europe aim to bring more meaning to the term “Patient-centred” healthcare. A recent survey of European Union (EU) citizens found that 70% of respondents want to see more EU action in healthcare, indicating that well-being is a top priority. Will this movement also drive cancer transformation? Experts gathered to discuss current issues in […]

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Examining the variation in cancer care

As medicine moves forward—making advances in prevention, detection, care delivery and more—cancer marches on, killing nearly 2 million Europeans every year. As one would expect, the reasons are as complex as cancer itself and one of the most significant reasons is variability in care. Here, we explore some of the reasons behind the variation and how AI may be able to help.

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Seven reasons why the time has come for AI technology in cancer care

Data is proliferating and EHRs are a key source of data. Fewer doctors are practicing oncology, cancer is spreading, and more care is needed. Clinical research keeps growing.

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Combining real world evidence with artificial intelligence may improve visibility of treatment options for oncologists

With an impending shortage of oncologists, an exponentially growing body of literature, and a steady stream of new cancer cases, it’s no surprise that one study found significant cancer health disparities in the US.

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How Watson is helping clinicians and cancer centers to identify more patients for clinical trials

IBM Watson® for Clinical Trial Matching uses artificial intelligence (AI) and natural language processing technology to help cancer centers identify potential candidates for trials and help clinicians find potential clinical trials for their patients.

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Watson Health: get the facts

Watson is the only AI technology tackling a wide range of the world’s biggest healthcare challenges including cancer, diabetes, drug discovery and more. In oncology, Watson is at work supporting cancer care in more than 150 hospitals in 11 countries, and a large, growing body of evidence supports the use of Watson in healthcare.

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Clinical trial matching: the frustration of matching patients to cancer research begins with data issues — and can end with artificial intelligence

If you work in oncology or cancer clinical trial coordination in the US, you already know the numbers don’t always work in your or your patients’ favor.

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When worlds collide: experiencing healthcare as a consumer

Bobbi Coluni, offering management for the payer market at IBM Watson Health shares her personal experience with the complexity of navigating healthcare benefits.

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Watson Health: setting the record straight

We at IBM have a lot to be proud of, including our pioneering work with Watson Health. Unfortunately, some media reports, including an August 11th story published by The Wall Street Journal, distort and ignore facts when suggesting IBM has not made “enough” progress on bringing the benefits of AI to healthcare.

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Watson Health is committed to using AI to tackle major healthcare challenges

I would like to provide an update on Watson Health and address a few misperceptions. If you only read certain media reports recently, you would have an incomplete and inaccurate perspective, especially as it relates to our Watson for Oncology product.

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Using Watson to stay on top of cancer care data

In 2012, an estimated 14.1 million people were diagnosed with cancer worldwide, and my country, Slovakia, ranks 22nd in terms of overall cancer frequency. As the incidence of cancer continues to grow and time constraints on oncologists intensify, the need for research and treatment innovation is more important than ever. The good news for patients […]

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Watson and cancer: get the facts

Watson for Oncology is helping care teams surface relevant data points from the ever-expanding medical literature, bridging disparate sources of clinical information and helping to identify treatment options for their patients, providing a far more personalized and patient-centric approach to the delivery of care.

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