4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare⚕️
4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare⚕️
Hello,
This newsletter will take you about 4 minutes to read.
I. Spotlight: 4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare⚕️
During World War II, commanders and troops communicated using hand-sent Morse codes. To avoid capture by enemies, telegraph operators had to remain anonymous. Any clues about operator identity or location could influence battle outcomes.
The US military intelligence discovered a way to identify a message’s sender based on the subtle time differences between the dots and dashes in the message.
The typing rhythms were so individualized that the military developed a methodology called the “The Fist of Sender” to distinguish messages sent by allies from those of enemies. Intelligence officers could track enemy troop movements using code operators’ signatures.
Today, we know that people’s keystroke patterns from their usage of keyboards or smartphones can reveal a lot more than their identity. These signals can also tell us how healthy the people are, whether certain diseases afflict them, and how far the ailment has advanced.
Keystrokes are digital signals that are now doubling as indicators of biological health — digital biomarkers. With an explosion of smart devices and sensors around us and advancements in AI to spot patterns, we now have access to many digital signals to assess health.
Patients might forget to pop a pill but may not miss strapping on their Apple watch every morning. Some even go to bed with it. Researchers have found that such a wealth of data collected passively throughout the day from various devices can reveal health insights that wearers might miss.
Today, digital biomarkers can help detect diseases and assess the effectiveness of medical treatments by tracking patient recovery.
II. Industry Roundup:
1. Article: Generative AI - A Creative New World
13 minutes | Sequoia Capital | Sonya Huang
Machines are getting as smart as humans (perhaps a tad better), even in creative work. This article talks about “Generative AI”- the creative capacity of machines. The author says this can make workers at least 10% more efficient and creative. It can also generate *trillions* of dollars in economic value.
2. Case Study: Digital Transformation of the World’s Largest Real Estate Franchise
5 minutes | Netguru
This case study traces the journey of Keller Williams, the world’s largest real estate franchise, in becoming a tech-first company. It details the transformation journey across aspects such as design, software, and data. For example, it set up KW Labs to drive ambitious transformation projects and help it become an industry leader.
3. Article: Zillow’s home-buying debacle shows how hard it is to use AI to value real estate
8 minutes | CNN Business | Rachel Metz
This article discusses what went wrong with ‘Zestimate’- Zillow’s AI-powered home value estimator. Zestimate has fueled interest in Zillow for years and continues to be the company’s key asset. The author highlights how hard it is to use AI to help make expensive, real-world decisions, particularly in an ever-changing market that can be hard to predict.
III. From my Desk:
1. Post: My latest Data Science whiteboard video was featured by LinkedIn News
3 minutes | LinkedIn
Recently, I got an alert that my latest Data Science whiteboard video was featured by LinkedIn News. I was thrilled that a lot of people loved it. In this post, I share how it all started 2 years ago and some key takeaways from this journey. And, thanks for your attention!
2. Video: What you can expect from my Keynote Sessions
2 minutes | Youtube
I recently conducted an executive session on ‘AI and Real Estate’ for dynaConnections, an innovative Real Estate Software firm based in Austin. The firm’s Marketing Director, Alei Tygert, shared a warm testimonial for my session. To book me for your next event, drop me a note 🙂
3. Video: What are the 4 Types of Analytics Insights?
2 minutes | Youtube
What are the 4 Types of analytical insights? Which of these is relevant to your business challenge? I answer these with simple examples in this video. I share when you must look for descriptive, diagnostic, predictive, or prescriptive insights.
Life has a lot of ups and downs, free falls, and failures. This awesome performance is a simple yet artistic way to show what life is like😊
Thank you for subscribing and reading the newsletter. I appreciate your attention,
Ganes.
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My Website | LinkedIn | Twitter | YouTube
I’m Ganes Kesari. I publish ‘Data-Driven Future’ to help understand how data shapes our world, explore key trends, and explain what they mean for you today. I speak and write to demystify data science for decision-makers and organizations.
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