IBM Watson Health announced last Wednesday that it is expanding its partnership with the Broad Institute. This research center of MIT and Harvard, together with IBM, will try to build algorithms to help predict cardiovascular diseases.
The algorithms should combine genetic data with clinical information (including existing medical records) and identify risks on that basis. Over the next three years, IBM and Broad Institute researchers will be working on algorithms to predict cardiac arrest and dysrhythmia. If it is successful, the project will be expanded.
Widely applicable
The researchers at IBM and the Broad Institute are developing various tools that can integrate different types of data for modelling purposes. In addition, they are developing ways to apply these models to patients from different care systems. Finally, the researchers must ensure that the conclusions of the algorithms are comprehensible to everyone: doctors and patients. The insights resulting from these projects will also be shared with the wider research community, says IBM.
Previous collaborations
IBM and the Broad Institute had previously worked together on similar initiatives. In the course of 2016, they began a five-year, $50 million project to better apply machine learning and gene technology to understand why some cancers are resistant to certain therapies.
IBM Watson Health announced last Wednesday that it would be launching other similar projects. To this end, it will invest a total of 50 million dollars over the next ten years in collaborations with, among others, the Vanderbilt University Medical Center and Brigham and Womens Hospital (Harvard University Medical Center). These collaborations also focus on the application of artificial intelligence to major health issues. IBM will therefore be investing heavily in the combination of AI Watson and healthcare in the near future.
This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.