healthcare research

Could Mitochondria Numbers Be the Key to Solving Cancer Drug Resistance?

New research shows that the number of mitochondria in a cell is associated with drug resistance, which could have a far-reaching impact in cancer treatment.

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Biophysics-Inspired AI Uses Photons to Help Surgeons Identify Cancer

Biophysics-inspired AI tools would provide a richer amount of information to support intraoperative decisions of surgeons during removal of cancerous tissue.

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Understanding Parkinson’s Disease with Machine Learning and The Michael J. Fox Foundation

IBM’s collaboration with The Michael J. Fox Foundation aims to better understand Parkinson's disease (PD), a chronic, degenerative neurological disorder.

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Fingernail Sensors and AI Can Help Clinicians to Monitor Health and Disease Progression

Grip strength is a useful metric in a surprisingly broad set of health issues. It has been associated with the effectiveness of medication in individuals with Parkinson’s disease, the degree of cognitive function in schizophrenics, the state of an individual’s cardiovascular health, and all-cause mortality in geriatrics. At IBM Research, one of our ongoing challenges […]

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Towards Language Inference in Medicine

Recent times have witnessed significant progress in natural language understanding by AI, such as machine translation and question answering. A vital reason behind these developments is the creation of datasets, which use machine learning models to learn and perform a specific task. Construction of such datasets in the open domain often consists of text originating […]

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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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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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Published in Science: IBM and Memorial Sloan Kettering researchers solve cancer immunotherapy mystery

Cancer immunotherapies, treatment approaches which harness a person’s own immune system to target and kill cancer cells, are currently a major driver in the development of new cancer treatments.  With the advent of next-generation gene editing technologies like CRISPR-Cas9, one could imagine a future in which cancer treatments are tailor-made not only for particular cancer […]

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Genomics and AI push the boundary of precision medicine in blood cancer

Every nine minutes, someone in the US dies from blood cancer which accounts for about 10 percent of all cancer deaths. And, every three minutes, one person in the US is diagnosed with a blood cancer — about 170,000 people annually.  In 2017, 62,130 people were expected to be diagnosed with leukemia. [1] These numbers […]

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New Research: Unlocking the secrets of Huntington’s Disease

Huntington’s disease (HD) is a devastating neurological disorder that causes death in neurons – a major component of the brain – and eventually the loss of physical and mental abilities. Currently, there are only very limited treatment options. IBM and CHDI Foundation have published research in the Journal of American Chemical Society1 detailing structural features […]

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Publishing in The Lancet’s EBioMedicine: New research in AI pushes frontiers in epileptic seizure prediction

Today, The Lancet’s EBioMedicine journal will publish a study led by scientists from IBM Research-Australia and the University of Melbourne marking important progress in personalized seizure forecasting with AI. The findings, described in a paper titled ‘Epileptic Seizure Prediction using Big Data and Deep Learning: Toward a Mobile System,’ present new results in epileptic seizure […]

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Machine learning used to surpass MELD in assessing liver disease

Before joining IBM Research in Cambridge in September 2016, I completed a three-year postdoctoral training program at Massachusetts General Hospital (MGH), working closely with Harvard faculty. Now, a collaboration between MGH and IBM Research has yielded a satisfying result – our manuscript, “The MELD-Plus: A Generalizable Prediction Risk Score in Cirrhosis,” was published in PLOS […]

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