A New Web Could be Coming. Will It Improve Human Health?
A number of emerging technologies are in the mix to define Web3, the next era of the digital age. They could contribute to our overall health and well-being.
The Web has provided numerous benefits over the years, but users have also experienced issues related to privacy, cybersecurity, income inequality, and addiction which negatively impact their quality of life. In important ways, the Web has yet to meet its potential to support human health.
Now, engineers are in the process of developing a new version of the Web, called Web3, which would seek to address the Web’s current shortcomings through a mix of new technologies.
It could also create new problems. Industrial revolutions, including new versions of the Web, have trade-offs. While many activists tend to focus on the negative aspects of Web3 technologies, they overlook some of the potential benefits to health and the environment that aren’t as easily quantifiable such as less stressful lives, fewer hours required for work, and a higher standard of living. What emerging technologies are in the mix to define the new era of the digital age, and how will they contribute to our overall health and well-being?
In order to answer these questions, I have identified three major trends that may help define the future landscape of Web3. These include more powerful machine intelligence that could drive improvements in healthcare, decentralized banking systems that allow consumers to bypass middlemen, and self-driving cars with potential to reduce pollution. However, it is the successes of the enabling technologies that support these goals—improvements in AI, blockchain and smart contracts, and fog computing—that will ultimately define Web3.
Machine Intelligence and Diagnosing Diseases
While the internet is the physical network equipment and computers that keep the world connected, the Web is one of the services that run on the internet. In 1989, British scientist Tim Berners-Lee invented the World Wide Web and, when Web1 went live in 1991, it consisted of pages of text connected by hyperlinks. It remained that way until 2004 with the introduction of Web2, which provided social media websites and let users generate content in addition to consuming it passively.
The Semantic Web could expand the impact of new cognitive skills for machines by feeding data to AI in more readily accessible formats. This will make machines better at solving hard problems such as diagnosing and treating complex diseases.
For the most part, Web2 is what we still have today but, from the beginning, Berners-Lee, now an MIT professor, envisaged a much more sophisticated version of the Web. Known as the Semantic Web, it would not only store data, but actually know what it means. The goal is to make all information on the Internet “machine-readable,” so it can be easily processed by computers, like an Excel sheet full of numbers as opposed to human language. We are now in the early stages of the Semantic Web, which incorporates his vision. For example, there is already a cloud of datasets that links thousands of servers without any form of centralized control. However, due to the costs and technological hurdles related to converting human language into something that computers can understand, the Semantic Web remains an ongoing project.
Currently, AI is only able to perform certain tasks, but it can already make healthcare business practices more efficient by leveraging deep learning to analyze data in supply chains. DeepMind, the company that developed AI for defeating chess masters, has also made huge advances in figuring out protein folding and misfolding, which is responsible for some diseases. Currently, AI is not that useful for diagnosing and treating many complex diseases. This is because deep learning is probabilistic, not causal. So, it is able to understand correlation, but not cause and effect.
Like the Web, though, AI is evolving, and the limitations of deep learning could be overcome in the foreseeable future. A number of government programs and private initiatives are dedicated to better understanding human brain complexity and equipping machines with reasoning, common sense, and the ability to understand cause and effect. The Semantic Web could expand the impact of these new cognitive skills by feeding data to AI in more readily accessible formats. This will make machines better at solving hard problems such as diagnosing and treating complex diseases, which involve genetic, lifestyle, and environment factors. These powerful AIs in the realm of healthcare could become an enduring and important feature of Web3.
Blockchain, Smart Contracts and Income Inequality
The Web2 version of the digital age was certainly impactful in altering our lifestyle both positively and negatively. This is predominately because of the business model used by companies such as Meta (formerly Facebook) and Google. By providing useful products like search engines, these companies have lured consumers into giving away their personal data for free, and the companies use this information to detect buying patterns in order to sell advertising. The digital economy made high tech companies billions of dollars while many users became underemployed or jobless.
In recent years, a similar model has been emerging in the realm of genetics. Personalized genomic companies charge a relatively small fee to analyze a fraction of our genes and provide probabilities of having specific medical conditions. While individual data is not valuable, cumulative data is helpful for deep learning. So, these companies can sell the anonymous DNA data to pharmaceutical companies for millions of dollars.
As these companies improve their ability to collect even more data about our genetic vulnerabilities, the technologies of Web3 could protect consumers from giving it away for free. An emerging technology called blockchain is able to provide a Web-based ledger of financial transactions with checks and balances to ensure that its records cannot be faked or altered. It has yet to reach mass adoption by the public, but the computer scientist Jaron Lanier has proposed storing our genomes and electronic health records in blockchain, utilizing electronic smart contracts between individuals and pharma healthcare industry. Micropayments could then be made to individuals for their data, using cryptocurrency.
These individual payments could become more lucrative in the coming years especially as researchers learn how to fully interpret and apply a person’s genetic data. In this way, blockchain could lead to improvements in income inequality, which currently drives health problems and other challenges for many. A number of start-ups are using this business model which has secure data and eliminates middlemen who don’t create any value, while compensating and protecting the privacy of individuals who contribute their health data.
Autonomous Vehicles, Fog Computing and Pollution
A number of trends indicate that modernizing the transportation industry would address a myriad of problems with public health, productivity and the environment. Autonomous vehicles (AVs) could help usher in this new era of transportation, and these AVs would need to be supported by Web3 technologies.
Automobile accidents are the second leading cause of death worldwide, with roughly 1.3 million fatalities annually, according to the World Health Organization. Some estimates suggest that replacing human drivers with AVs could eliminate as many as a million global fatalities annually. Shared AVs would help to reduce traffic congestion that wastes time and fuel, and electric vehicles would help minimize greenhouse gases.
To reap the benefits from replacing gas vehicles with electric, societies will need an infrastructure that enables self-driving cars to communicate with each other. Most data processing in computers is performed using von Neumann architecture, where the data memory and the processor are in two different places. Today, that typically means cloud computing. With self-driving cars, when cameras and sensors generate data to detect objects on the roads, processors will need to rapidly analyze the data and make real-time decisions regarding acceleration, braking, and steering. However, cloud computing is susceptible to latency issues.
One solution to latency is moving processing and data storage closer to where it is needed to improve response times. Edge computing, for example, places the processor at the site where the data is generated. Most new human-driven vehicles contain anywhere from 30 to 100 electronic control units (ECUs) that process data and control electrical systems in vehicles. These embedded systems, typically in the dashboard, control different applications such as airbags, steering, brakes, etc. ECUs process data generated by cameras and sensors in AVs and make crucial decisions on how they operate.
Self-driving cars can benefit by communicating with each other for navigation in the same way that bacteria and animals use swarm intelligence for tasks involving groups. Researchers are currently investigating fog computing which utilizes servers along highways for faster and more reliable navigation and for communicating data analytics among driverless cars.
The Future Landscape of Web3 is Uncertain
The future of Web3 has many possibilities. However, there is no guarantee that blockchain, smart contracts, and fog computing will achieve public acceptance and market saturation or prevail over other technologies or the status quo of Web2. It is also uncertain if or when the breakthroughs in AI will occur that could eradicate complex diseases through Web3.
An example of this uncertainty is the metaverse, which combines blockchain with virtual reality. Currently, the metaverse is primarily used for gaming and recreational use until its infrastructure is further developed. Researchers are interested in the long-term mental health effects of virtual reality, both positive and negative. Using avatars, or virtual representations of humans, in the metaverse, users have greater control of their environment and chosen identities. But, it is unclear what negative mental health effects will occur. As far as regulations, the metaverse is still in the Wild West stage, and bullying or even murder will likely take place. Also, there will be a point where virtual worlds like the metaverse will become so immersive that we won't want to leave them, according to Meta’s Zuckerberg.
The metaverse would rely on virtual reality technology that was developed many years ago, and adoption has been slower than some experts predicted. But most emerging technologies, including other examples related to Web3, follow a similar, nonlinear pattern of development that Gartner has represented in graphical form using the S-curve. To develop a technology forecast for Web3, you can follow the progress along the curve from proof of concept to a particular goal. After a series of successes and failures, entrepreneurs will continue to improve their products until each emerging technology fails or achieves mainstream adoption by the public.
What mix of emerging technologies ultimately defines Web3 will likely be determined by the benefits they provide to society—including whether and how they improve health—how they stimulate the digital economy, and how they address the significant shortcomings of Web2.
Here's how one doctor overcame extraordinary odds to help create the birth control pill
Dr. Percy Julian had so many personal and professional obstacles throughout his life, it’s amazing he was able to accomplish anything at all. But this hidden figure not only overcame these incredible obstacles, he also laid the foundation for the creation of the birth control pill.
Julian’s first obstacle was growing up in the Jim Crow-era south in the early part of the twentieth century, where racial segregation kept many African-Americans out of schools, libraries, parks, restaurants, and more. Despite limited opportunities and education, Julian was accepted to DePauw University in Indiana, where he majored in chemistry. But in college, Julian encountered another obstacle: he wasn’t allowed to stay in DePauw’s student housing because of segregation. Julian found lodging in an off-campus boarding house that refused to serve him meals. To pay for his room, board, and food, Julian waited tables and fired furnaces while he studied chemistry full-time. Incredibly, he graduated in 1920 as valedictorian of his class.
After graduation, Julian landed a fellowship at Harvard University to study chemistry—but here, Julian ran into yet another obstacle. Harvard thought that white students would resent being taught by Julian, an African-American man, so they withdrew his teaching assistantship. Julian instead decided to complete his PhD at the University of Vienna in Austria. When he did, he became one of the first African Americans to ever receive a PhD in chemistry.
Julian received offers for professorships, fellowships, and jobs throughout the 1930s, due to his impressive qualifications—but these offers were almost always revoked when schools or potential employers found out Julian was black. In one instance, Julian was offered a job at the Institute of Paper Chemistory in Appleton, Wisconsin—but Appleton, like many cities in the United States at the time, was known as a “sundown town,” which meant that black people weren’t allowed to be there after dark. As a result, Julian lost the job.
During this time, Julian became an expert at synthesis, which is the process of turning one substance into another through a series of planned chemical reactions. Julian synthesized a plant compound called physostigmine, which would later become a treatment for an eye disease called glaucoma.
In 1936, Julian was finally able to land—and keep—a job at Glidden, and there he found a way to extract soybean protein. This was used to produce a fire-retardant foam used in fire extinguishers to smother oil and gasoline fires aboard ships and aircraft carriers, and it ended up saving the lives of thousands of soldiers during World War II.
At Glidden, Julian found a way to synthesize human sex hormones such as progesterone, estrogen, and testosterone, from plants. This was a hugely profitable discovery for his company—but it also meant that clinicians now had huge quantities of these hormones, making hormone therapy cheaper and easier to come by. His work also laid the foundation for the creation of hormonal birth control: Without the ability to synthesize these hormones, hormonal birth control would not exist.
Julian left Glidden in the 1950s and formed his own company, called Julian Laboratories, outside of Chicago, where he manufactured steroids and conducted his own research. The company turned profitable within a year, but even so Julian’s obstacles weren’t over. In 1950 and 1951, Julian’s home was firebombed and attacked with dynamite, with his family inside. Julian often had to sit out on the front porch of his home with a shotgun to protect his family from violence.
But despite years of racism and violence, Julian’s story has a happy ending. Julian’s family was eventually welcomed into the neighborhood and protected from future attacks (Julian’s daughter lives there to this day). Julian then became one of the country’s first black millionaires when he sold his company in the 1960s.
When Julian passed away at the age of 76, he had more than 130 chemical patents to his name and left behind a body of work that benefits people to this day.
Therapies for Healthy Aging with Dr. Alexandra Bause
My guest today is Dr. Alexandra Bause, a biologist who has dedicated her career to advancing health, medicine and healthier human lifespans. Dr. Bause co-founded a company called Apollo Health Ventures in 2017. Currently a venture partner at Apollo, she's immersed in the discoveries underway in Apollo’s Venture Lab while the company focuses on assembling a team of investors to support progress. Dr. Bause and Apollo Health Ventures say that biotech is at “an inflection point” and is set to become a driver of important change and economic value.
Previously, Dr. Bause worked at the Boston Consulting Group in its healthcare practice specializing in biopharma strategy, among other priorities
She did her PhD studies at Harvard Medical School focusing on molecular mechanisms that contribute to cellular aging, and she’s also a trained pharmacist
In the episode, we talk about the present and future of therapeutics that could increase people’s spans of health, the benefits of certain lifestyle practice, the best use of electronic wearables for these purposes, and much more.
Dr. Bause is at the forefront of developing interventions that target the aging process with the aim of ensuring that all of us can have healthier, more productive lifespans.
