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Head of IBM Watson Health leaving post after growing criticism

From www.statnews.com - October 20, 2018 9:07 PM

After 3 years as head of IBM’s health division, Deborah DiSanzo is leaving her role.

A company spokesman said that DiSanzo will no longer lead IBM Watson Health, the Cambridge-based division that has pitched the company’s famed artificial intelligence capabilities as solutions for a myriad of health challenges, like treating cancer and analyzing medical images.

Even as it has heavily advertised the potential of Watson Health, IBM has not met lofty expectations in some areas. Its flagship cancer software, which used artificial intelligence to recommend courses of treatment, has been ridiculed by some doctors inside and outside of the company.

And it has struggled to integrate different technologies from other businesses it has acquired, laying off employees in the process.

more at https://www.statnews.com/2018/10/19/head-of-ibm-watson-health-leaving-post/

nrip's insight:

Over the years IBM Watson promised much to the healthcare world and delivered pretty much nothing. I must say, reading up about IBM Watson taught me a thing or more about marketing :). Given that there is definitely good stuff being worked on within IBM, I hope that IBM will learn that healthcare requires patience and accuracy, and Watson will someday start doing good for healthcare.

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Doctors will routinely use your DNA to keep you well

From www.research.ibm.com - December 19, 2013 3:51 PM

Learn how doctors will be able to develop targeted cancer therapy based on you and your cancer’s genetics.

How to personalize cancer treatment

Once a doctor sequences your full genome as well as your cancer’s DNA, mapping that information to the right treatment is difficult. Today, these types of DNA-based plans, where available, can take weeks or even months. Cognitive systems will decrease these times, while increasing the availability by providing doctors with information they can use to quickly build a focused treatment plan in just days or even minutes – all via the cloud.

Within five years, deep insights based on DNA sequencing will be accessible to more doctors and patients to help tackle cancer. By using cognitive systems that continuously learn about cancer and the patients who have cancer, the level of care will only improve. No more assumptions about cancer location or type, or any disease with a DNA link, like heart disease and stroke.

more at http://www.research.ibm.com/cognitive-computing/machine-learning-applications/targeted-cancer-therapy.shtml#fbid=2VHk6CaxW6l

directly view the video at http://www.youtube.com/watch?feature=player_embedded&v=0M1DMdc1mQ0

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IBM Watson Health teams with ADA to Tackle Diabetes

From www.informationweek.com - June 24, 2016 3:30 PM

IBM Watson Health is teaming with the American Diabetes Association to apply cognitive computing to the ADA's 66 years worth of research and data. The results will be used to help entrepreneurs, developers, healthcare providers, and patients learn more about diabetes, prevention, complications, and care

In 2012, according to the ADA, 29 million people were living with the disease, and another 86 million were diagnosed with a condition known as prediabetes.

To address the challenge, IBM Watson Health and the ADA are collaborating to apply Watson cognitive computing to the organization's massive library of information and data. Through this effort, IBM and ADA hope to empower entrepreneurs, developers, healthcare providers, and patients to gain knowledge that can improve outcomes and even prevent the condition's onset.

First, IBM's AI platform will ingest all the medical journals, medical text books, Pub Med, and other diabetes literature and resources available, including all the content from the ADA's Diabetes Information Center. Second, Watson will ingest the ADA's diabetes data sets.

Watson will be trained to understand the diabetes data to identify potential risk factors and create evidence-based insights that can be applied to health decisions.

IBM also is collaborating with the Health Maintenance Organization Maccabi Healthcare services to build a predictive machine learning model to help identify early risks for diabetic retinopathy, the top cause of blindness for those with diabetes.

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