Healthcare

Research and innovation addressing today's greatest health challenges

Helping to Improve Medical Image Analysis with Deep Learning

Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient’s image collection can contain 250GB of data, ultimately creating collections across organizations that are petabytes in size. Within IBM Research, we see potential in […]

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Addressing South Africa’s Cancer Reporting Delay with Machine Learning

Could you make a critical health policy decision using four-year-old data? Cancer registries hold vital data sets, kept tightly encrypted, containing demographic information, medical history, diagnostics and therapy. Oncologists and health officials access the data to understand the diagnosed cancer cases and incidence rates nationally. The ultimate goal is to use this data to inform […]

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Exploring New Research to Combat Disease-Causing Viruses

According to the US Center for Disease Control, the number of worldwide cases of poliomyelitis has decreased from 350,000 in 1988 to 407 in 20131. While the decline has been steady, polio has still not been eradicated. To try and help solve the problem, biologists and mathematicians from IBM, UCSF, Stanford University, and the University […]

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Ink Spots to Put an End to Counterfeit Diagnostic Tests

Could tiny ink spots, the size of a pinhead, fight counterfeiting medical tests? We believe the answer is yes. This week at the Biosensors 2018 conference in Miami, I’m presenting a new research paper demonstrating how optical security codes, created by inkjet spotting patterns, can be used in combination with smartphones for authenticating medical tests. […]

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Using IoT, AI and cloud technologies to advance home-based integrated care

One of the largest growing demographics in the EU is individuals aged 65 and over, and two thirds of this group are in situation of multimorbidity, i.e., perons who suffer from two or more chronic diseases. The ineffective treatment of multimorbidity has been pointed out as an urgent problem to address by the Academy of […]

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Using Deep Learning to Predict Emergency Room Visits

At IBM Research, we are using deep learning to explore new solutions for a range of health care challenges. One such challenge is emergency room (ER) overcrowding, which can lead to long wait times for treatment. Overcrowding results in part from people visiting the ER for non-emergency conditions rather than relying on primary physicians. Patients […]

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IBM Names 2018 Fellows, Including Four IBM Researchers

Half of IBM’s 2018 Fellows Hail from IBM Research For more than 70 years, IBM Research has defined the future of technology for IBM. Today, we lead the way forward in AI, blockchain, quantum computing and cybersecurity, thanks to critical foundational research conducted across our global labs. This defining moment in IBM’s transformation is made […]

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Mastering the Flow of Tiny Biological Liquids with Electrogates

Today, much of the knowledge we have in biology and medicine is derived from the ability to detect analytes from complex biological samples, such as blood and urine. This knowledge, in the form of data, is vital for patient diagnostics. For more than a decade, IBM scientists have taken their years of experience from the […]

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New Study: Synthetic Macromolecules Kill Multidrug-Resistant Cancer Cells

Cancer continues to be a deadly threat to more than 14 million people who are diagnosed each year around the world. At the same time, five-year survival rates have been steadily improving over the last three decades to nearly 70 percent, according to the American Cancer Society. However, current cancer treatment regimens, such as traditional […]

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A new molecule designed to kill deadly, drug-resistant superbugs

In 2016, I had a bacterial infection that I acquired after a routine knee surgery. Fortunately, my immune system reacted favorably to antibiotics, but had the bacteria been a “superbug,” resistant to medication, my story might have had a different ending. This incident inspired me to focus my work on discovering a new solution. With […]

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Computational Biologists Find Inspiration for Machine Learning Cell Cycle Sorting Method in an Unlikely Place

The lifespan of cells in the human body varies greatly, from as short as a few days, such as those in our stomach lining, to the cells in our bones, which live for 25-30 years. And for each healthy cell, no matter how long it lives, there is a tightly coordinated series of events that […]

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Prediction of psychotic onset with AI: words portend the future

Psychiatrists characterize schizophrenia, a mental condition with devastating effects on those who suffer it, by a set of intuitively understandable concepts including “poverty of speech” and “flight of ideas.” These concepts, however, are subjective in the sense that their quantification depends significantly on the particular training and ultimate judgment of individual psychiatrists. The evaluation of […]

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