Chen, Argentinis and Weber point out that life sciences researchers are under pressure to innovate faster than ever. Big data offer the promise of unlocking novel insights and accelerating break-throughs. Ironically, although more data are available than ever, only a fraction is being integrated, understood and analyzed. The challenge lies in harnessing volumes of data, integrating the data from hundreds of sources and understanding their various formats.
New technologies such as Artificial Intelligence offer promise for addressing this challenge because cognitive solutions are specifically designed to integrate and analyze big data sets. AI software can understand different types of data such as lab values in a structured database or the text of a scientific publication. These software solutions are trained to understand technical, industry-specific content and use advanced reasoning, predictive modeling and machine learning techniques to advance research faster.
IBM is one of the pioneers that has developed AI software for specifically for medicine. More than 230 healthcare organizations worldwide use IBM AI (Watson) technology.
Here are some of the key software offerings:
IBM Watson for Oncology combines leading oncologists’ deep expertise in cancer care with the speed of IBM Watson to help clinicians as they consider individualized cancer treatments for their patients.
IBM Watson for Genomics enables molecular pathology laboratories to scale their precision oncology programs to meet the existing and growing needs of personalized cancer care.
Watson for Clinical Trial Matching helps clinicians quickly find a list of clinical trials for an eligible patient – and it assists clinical trial coordinators in finding qualified patients.
IBM Watson for Drug Discovery reveals connections and relationships among genes, drugs, diseases and other entities by analyzing multiple sets of life sciences knowledge.
Watson Care Manager helps organizations unlock and integrate the breadth of information from multiple systems and care providers – while automating care management workflows to meet the demands of growing populations.
Watson Imaging Clinical Review is a retrospective AI-enabled data review tool that highlights both primary diagnoses and incidental findings – which may help limit the need to retest patients.
IBM Watson Imaging Patient Synopsis is a radiologist-trained AI tool that can extract patient information from the electronic health record and project it through a single-view summary in sync with PACS (picture archiving and communication system).