#61: Meet Your Digital Twin: The Coming Revolution In Drug Development💊
Hello,
This newsletter will take you about 4 minutes to read.
I. Spotlight: Meet Your Digital Twin: The Coming Revolution In Drug Development💊
Fifty-one years ago, Apollo 13 was launched into space. Soon after, a tremendous explosion shook the spacecraft. With their precious oxygen supplies leaking into space, the three astronauts on board were in critical danger.
As the clock ticked, NASA’s Mission Control team in Houston worked non-stop. How could they diagnose and solve the challenges of a failing physical asset that was floating in space, 200,000 miles away?
Thankfully, NASA had 15 simulators that had trained the astronauts for the mission. These high-fidelity simulators with their computer systems were the predecessors of “digital twins.” They were used to replicate the damaged spacecraft and played a crucial role in the crew’s successful rescue.
Today, digital twins of human bodies are the latest trend in life sciences. Pharmaceutical companies are exploring this technology to transform drug development and patient care.
What are digital twins?
A digital twin is a virtual replica of a real-world person, physical entity, or process. For example, the digital twin of an aircraft engine is a precise virtual copy of the machinery, powered by artificial intelligence (AI). Streaming data collected from sensors onboard the engine is relayed to the digital twin in real-time. This enables aircraft engineers to monitor the engine’s performance and predict when it may fail.
Now, imagine building a digital twin of a real person to replicate how they would behave and respond in specific situations. You could track their health, diagnose diseases, and plan preventive treatments.
While a full-blown recreation of a human in the virtual world is still beyond possibility (thankfully!), even a partial replication offers significant benefits today.
Why are digital twins so important in healthcare?
II. Industry Roundup:
1. Article: The AI Hype Cycle Is Distracting Companies
09 minutes | HBR | Eric Siegel
While AI breakthroughs garner much attention, labeling machine learning (ML) as "AI" can create unrealistic expectations and obscure its real-world applications. Misconceptions around "AI" often imply artificial general intelligence (AGI), leading to misguided expectations and project failures. Therefore, to deliver operational value, ML tools should not be oversold as "AI". An interesting and important demystifier!
2. Article: AI Startups Have Tons of Cash, but Not Enough Data. That’s a Problem
4 minutes | WSJ | Isabelle Bousquette
Generative AI startups are securing vast funding, but the key to success is access to crucial data. Data ownership and security issues emerge as they partner with data-rich corporations. Larger tech firms, already trusted by customers, may have an advantage. This sets the stage for a race among startups to secure exclusive data. How will this impact Generative AI adoption and value delivered to organizations?
III. From my Desk:
1. Recognition: ‘Top Decision-Making Voice' by LinkedIn!
01 min | LinkedIn
Happy to share that I've been recognized as a Linkedin Top Voice in Decision-Making! Helping organizations make better decisions with data & analytics has been my priority for over a decade. There's a lot of ground to cover in driving informed, intelligent, and impactful decisions across organizations. Let's continue the conversations.
2. Video: Fostering a Data Culture - An Executive's Playbook
04 min | YouTube
I discuss 4 crucial elements for institutionalizing a data-driven culture within an organization, by sharing nuggets from my 10-year journey at Gramener. Learn about the importance of leadership, organizational structure, robust processes, and subtle incentivization in fostering decision-making with data. Explore how to drive data innovation and create lasting business impact.
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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