Guest column

Houston energy expert on how big data yields more reliable results

Ryan Sitton's new book, "Crucial Decisions," touches on an array of topics and how data is the key to making the positive and impactful decisions. Photo via Getty Images

Abraham Maslow's hierarchy of need tells us that at our core, humans crave safety and sustenance. When you turn on the light each morning while getting ready for work, or when you check your bank account and see your paycheck arrived on schedule, we expect every aspect of our daily lives to work.

In today's world, we often take these things for granted, until reliability is threatened. Our dependency is revealed in the frenzy over a potential toilet paper shortage and in the panic buying of gasoline in a hurricane. When things in society are consistent, economies thrive. However, when you introduce fear and uncertainty, things begin to spiral. It is in these times that the decisions we make can have the biggest impact on the world around us.

The link between impactful decisions and reliability has brought our society to a pivotal moment in history. We have created a society so reliable and developed that even during the coronavirus lockdown, the basic needs of Americans could be met with only 25 percent of our workforce actively working. By increasing productivity using machines and systems, we have been able to improve our overall quality of life, but not without a price. As a result of such high improvement, we as a society have come to not only expect, but demand, reliability at all times.

When dependability waivers and anxiety rises, those in key decision-making positions are faced with unprecedented situations. Due to distress and a lack of understanding of certain situations, those in decision making positions are often times forced to make decisions based on rapid response and emotion. Because of this, consistency and reliability suffer.

A prime example of an emotional response is the coronavirus shutdown that occurred earlier this year. As a response to the growing fear and panic over the virus, major portions of our economy were shut down; schools were closed; and citizens were confined to their homes.

What followed was the bankruptcy of thousands of businesses, an unprecedented wave of fear throughout society and a disruption to the consistency of our daily lives. We have yet to know what lasting impacts this decision will have on our future economy or livelihood, but we now understand that rapid decision making is often met with long-term consequences.

While there will continue to be disagreements on all sides regarding the handling of the shutdown, what is undisputable is that we as a society have gained an opportunity to learn. We now have the unique advantage of using data in ways that has never been used before in order to make consistently better decisions, allowing us the opportunity to perform at levels we have never thought possible.

Whether it be data advancements in sports (think Billy Beane and the Oakland Athletics), or the progression of technology (continuous iPhone updates), we are able to study the improvements of data on society in order to make more reliable decisions. With more powerful data analytics and innovations in data sciences, we are able to positively impact the most vital components of our society in order to make decisions that will drive evolution and reliability.

As the world continues to progress, the decisions we are forced to make have become more complex. With each complicated decision comes the potential for lasting positive or negative impact on society. In shifting from emotional, rapid reactions towards more data and quantitative focused methods, we have the unique and unprecedented opportunity to make our world a more reliable, stable and creative place.

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Ryan Sitton is the founder of Pinnacle and the author of "Crucial Decisions."

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This UH engineer is hoping to make his mark on cancer detection. Photo via UH.edu

Early stage cancer is hard to detect, mostly because traditional diagnostic imaging cannot detect tumors smaller than a certain size. One Houston innovator is looking to change that.

Wei-Chuan Shih, professor of electrical and computer engineering at the University of Houston's Cullen College of Engineering, recently published his findings in IEEE Sensors journal. According to a news release from UH, the cells around cancer tumors are small — ~30-150nm in diameter — and complex, and the precise detection of these exosome-carried biomarkers with molecular specificity has been elusive, until now.

"This work demonstrates, for the first time, that the strong synergy of arrayed radiative coupling and substrate undercut can enable high-performance biosensing in the visible light spectrum where high-quality, low-cost silicon detectors are readily available for point-of-care application," says Shih in the release. "The result is a remarkable sensitivity improvement, with a refractive index sensitivity increase from 207 nm/RIU to 578 nm/RIU."

Wei-Chuan Shih is a professor of electrical and computer engineering at the University of Houston's Cullen College of Engineering. Photo via UH.edu

What Shih has done is essentially restored the electric field around nanodisks, providing accessibility to an otherwise buried enhanced electric field. Nanodisks are antibody-functionalized artificial nanostructures which help capture exosomes with molecular specificity.

"We report radiatively coupled arrayed gold nanodisks on invisible substrate (AGNIS) as a label-free (no need for fluorescent labels), cost-effective, and high-performance platform for molecularly specific exosome biosensing. The AGNIS substrate has been fabricated by wafer-scale nanosphere lithography without the need for costly lithography," says Shih in the release.

This process speeds up screening of the surface proteins of exosomes for diagnostics and biomarker discovery. Current exosome profiling — which relies primarily on DNA sequencing technology, fluorescent techniques such as flow cytometry, or enzyme-linked immunosorbent assay (ELISA) — is labor-intensive and costly. Shih's goal is to amplify the signal by developing the label-free technique, lowering the cost and making diagnosis easier and equitable.

"By decorating the gold nanodisks surface with different antibodies (e.g., CD9, CD63, and CD81), label-free exosome profiling has shown increased expression of all three surface proteins in cancer-derived exosomes," said Shih. "The sensitivity for detecting exosomes is within 112-600 (exosomes/μL), which would be sufficient in many clinical applications."

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