Founded in March 2020 just as the pandemic’s wave was starting to wash over the world, the Consortium has brought together 43 members with supercomputing resources. Private and public enterprises, academia, government and technology companies, many of whom are typically rivals. “It is simply unprecedented,” said Dario Gil, Senior Vice President and Director of IBM Research, one of the founding organizations. “The outcomes we’ve achieved, the lessons we’ve learned, and the next steps we have to pursue are all the result of the collective efforts of these Consortium’s community.” The next step? Creating the National Strategic Computing Reserve to help the world be better prepared for future global emergencies.
IBM researchers have created an AI-powered software to help doctors develop personalized treatments for different patients with the exact same diagnosis.
Researchers from our IBM Research labs around the world and from IBM Watson Health have contributed a total of 47 workshops, papers, posters and panels that will be presented at AMIA 2020. These contributions cover a wide range of topics but reflect our overarching goal of driving the usefulness of AI in Healthcare.
Our team of researchers based at the IBM Research-Almaden lab in California have been pursuing an ambitious challenge of building machines that can perform a preliminary read of chest X-rays provably at the level of at least entry-level radiologists.
A new AI model, developed by IBM Research and Pfizer, has used short, non-invasive and standardized speech tests to help predict the eventual onset of Alzheimer’s disease within healthy people with an accuracy of 0.7 and an AUC of 0.74 (area under the curve).
I believe one of the most promising areas for AI to make an impact is in the field of medical imaging. Through advancements in AI that allow for more intelligent and accurate analysis of video and still images, there is hope that clinicians will soon be able to widely augment the data and information they […]
In Collaboration with the National Institutes of Health, IBM Research Dives Deep into Biomarkers of Schizophrenia
In collaboration with researchers from Harvard Medical School, Mt. Sinai School of Medicine, Stanford University and the Northern California Institute for Research and Education, IBM Research is undertaking a new research initiative funded by the National Institute of Health.
What impact do measures such as shelter-in-place, mask wearing, and social distancing have on the number of COVID-19 cases? How do the COVID-19 quarantine measures that have been implemented by North American countries compare to South American countries? These are just a few questions about the wide range of non-pharmaceutical interventions (NPIs) that have been applied by governments, globally.
In 2019, IBM and the Broad Institute of MIT and Harvard started a multi-year collaborative research program to develop powerful predictive models that can potentially enable clinicians to identify patients at serious risk for cardiovascular disease (1, 2). At the start of our collaboration, we proposed an approach to develop AI-based models that combine and […]
IBM Research and The Michael J. Fox Foundation Develop Modeling Methodology to Help Understand Parkinson’s Disease Using Machine Learning
In collaboration with The Michael J. Fox Foundation for Parkinson’s Research, our team of researchers at IBM is aiming to develop improved disease progression models that can help clinicians understand how the disease progresses in relation to the emergence of symptoms, even when those patients are taking symptom-modifying medications.
To address the challenge of antibiotic resistance, scientists from IBM and the Agency for Science, Technology and Research and the Singapore-MIT Alliance for Research and Technology have published new findings in Advanced Science, which unveil the effectiveness of a new polymer in the fight against resistant bacteria.
In the May issue of Communications Biology features a new paper that was done in collaboration with Prof. Miles Whittington of Hull York Medical School (U.K.) and his group. In this new paper, we describe the likely cellular mechanism of the oldest known EEG (electroencephalogram) rhythm: the alpha rhythm, at around 10 cycles per second. […]