Life Sciences

Accelerating the speed of innovation for patients

SmartAnalyst Inc. used IBM Explorys clinical data to improve how a company markets its medications

SmartAnalyst and the IBM® Watson Health™ team used the IBM Explorys® data set to study the journey of more than 6,500 real-life psoriasis patients. As a result, SmartAnalyst’s customer, a pharmaceutical company, is changing the way it communicates with patients and doctors.

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SmartAnalyst Inc. used the IBM Explorys clinical data set to boost physician adoption of certain cancer treatments

The IBM® Watson Health™ team helped SmartAnalyst use IBM Explorys® Offerings for Life Sciences to compare treatment patterns and time-to-event outcomes for almost 2,000 real world lines of therapy for multiple myeloma.

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Generating Insights with Confidence – Agile Advanced Analytics on Longitudinal Health Records

This webinar replay reviews how the IBM Global Business Services (GBS) team generated actionable insights by applying machine learning on integrated EHRs (IBM Explorys clinical data set) and has thus helped life science companies tailor their business strategies and achieve research breakthroughs.

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IBM Explorys Offerings for Life Sciences: Cohort Analysis

Near-real time data access provides integrated views of the patient journey and clinical practice, enabling life sciences organizations to gain deep insights.

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Watson for Drug Discovery Identifies Proteins Associated with Cardiovascular Disease

Heart attack and stroke are 2 of the top 10 causes of death worldwide. Identifying the proteins involved in each of them is the beginning of a journey to understanding how these diseases develop. In a novel experiment presented at the American Heart Association Scientific Sessions on November 12, 2017, and published in a supplement […]

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Insights brief: Advancing outcomes-based contracting

In this brief, we share insights on challenges in managing outcomes-based contracts (OBCs) with health plans today and solutions to address these challenges, based on our conversations with more than a dozen life sciences companies.

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Three Principles for Bringing Augmented Intelligence to Life Sciences

In today’s healthcare system, we are not getting the value for the costs we are spending. It’s a complex issue with an equally complex set of potential solutions. But as the industry shifts to value-based care, we’ve reached a tipping point.

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Reflection and Recognition: Watson for Clinical Trial Matching Accelerating the Screening process

Innovation, by its nature is new, and having never been done before, is hard.  To do something for the first time takes much more effort and concentration than when there is muscle memory, a process, precedent to follow. To do something innovative with multi stakeholder input – provider, pharma, technology – adds another dimension of […]

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Transforming Life Sciences – From Possibility to Positivity

Almost exactly 2 years ago at HIMSS we announced Watson Health, a separate business unit within IBM, focused on impacting health through the power of cognitive and analytics. Two years ago the announcement was full of possibility. Today we can share positivity, and evidence of success. In forming Watson Health we created a technology platform […]

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Watson Health Stories: Celgene

Learn how Watson Health & Celgene are working to uncover new approaches to patient safety. Ed Mingle, the global head of Safety Operations at Celgene corporation, discusses how the possibilities of future care are endless with the power of cognitive solutions.

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Watson Health Stories: Barrow Neurological Institute

Learn how Watson Health is helping researchers advance the fight against rare diseases. In this video, Dr. Robert Bowser from the Barrow Neurological Institute explains how Watson Health is helping transform the world of drug discovery.

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Efficiently generating medical insights – Advanced analytics on longitudinal health records

The increasing pressures faced by life sciences companies and the rise of big data have led to a new approach for the generation of medical evidence in recent years: mining longitudinal electronic medical records (EMRs).

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