Technology That Rocks

Tech-enabled care is a major emerging theme in the 2010s and beyond. Personal health records, monitoring via wearables, medical diagnostic devices that connect to smartphones or are integrated directly into them, as well as decision support / analytics support systems that enable caregivers, as well as the patients themselves, to have an even more detailed understanding of the physiological state — are being advanced and introduced more frequently. Certainly a cross-functional, cross-domain theme that folk with a broader set of experiences will be able to contribute to.

An example of a service that goes beyond what’s available today to patients, through the use of technology - available below:

https://www.mobihealthnews.com/news/comprehensive-tech-enabled-checkup-service-q-bio-scores-40m

In the face of the seemingly ever-growing set of challenges facing the global community, there are positive and encouraging news out of science & tech that give hope for a brighter future for all.

Two really exciting advances in healthcare technology, that I think are signs of monumental advances for medical care, are these following two stories that came out this January 2020:

https://www.healthimaging.com/topics/healthcare-economics/fda-clear-worlds-first-portable-mri

https://www.statnews.com/2020/02/20/machine-learning-finds-novel-antibiotic-able-to-kill-superbugs/

Despite the sometimes exaggerated expectations of the potential applications of AI in everyday life and work in the past 10 years, there are a few elements within the domain that continue to show promise with advances made by researchers and industry fairly regularly. One of those is Computer Vision (CV), which is fundamental to a number of technologies with practical uses, like Augmented Reality. As with applications of other areas of AI, the most practical here is decision support.

Below is a great article on the team and vision at Paige, which is using CV for medical imaging purposes:

https://venturebeat.com/2019/12/18/paige-raises-45-million-to-detect-cancer-with-computer-vision/