For more than ten years, Achieve, an Acquia partner, has been bringing innovative portal solutions to healthcare providers with a user-centered focus. They make the most complex web development projects possible for companies like Children’s Hospital Los Angeles, Universal Music Group, Dexcom, The Recording Academy, and Scripps Translational Science Institute.
Achieve sought out Acquia to participate in their latest Digital Health Innovations (DHI) event because of Acquia’s involvement with technical trends like machine learning that are currently impacting the healthcare industry. Katherine Bailey, Principal Data Scientist at Acquia, was the featured speaker at the event. Like past DHI events, this one continued Achieve’s aim of bringing the San Diego tech, healthcare, and life science communities together through thought leadership.
Katherine Bailey taking questions from the audience at DHI
Machine Learning Today
The emergence of touch points in our digital world including the Internet of Things (IoT), the multitude of devices consumers own, and mobile applications, has led to an enormous growth of data. All of these touch points constantly track and store valuable data about consumers, however in order for this data to be useful, machine learning must be utilized. When broken down machine learning can be understood as a form of artificial intelligence that is able to:- Learn from data
- Recognize patterns
- Apply that intelligence to new data without interference from a human
Machine Learning in Healthcare
Within the realm of healthcare, machine learning is a key player for the future of the industry. With over 2 petabytes of cancer genome data available, utilizing machine learning can help researchers:- Understand cancer
- Identify drivers of tumor growth from analyzing data
- Predict the most effective treatment for specific cancer types
- Improve diagnostics
- Predict outcomes