Usually, research takes time and patience — here are some tips for cultivating patience. Graphic by Miguel Tovar/University of Houston

Aristotle, one of the most famous philosophers and scientists of all time, once said, "Patience is bitter, but its fruit is sweet."

What the phrase conveys is all too familiar to those in the scientific community. Patience needs to be cultivated by researchers who wait for the outcome of their studies. History is full of success stories of the science community showing both patience and persistence.

Quitters never prosper

Patience is essentially the ability to stay relatively unruffled in the face of adversity. Earning a Ph.D. takes time, writing grants and getting funding takes time, and experiments – some of them never yield results or take a long time to do so.

For example, there is the story of the two scientists who discovered the HPV virology, which eventually led to routine tests that check for cervical cancer in women. They were studying and researching the bacteria that causes the HPV virus for nearly 13 years before their findings were accepted. "In January 1928, Dr. George N. Papanicolaou first announced his findings at the Third Race Betterment Conference in Battle Creek, Michigan, but these were met with skepticism and resistance from the scientific community. This rejection did not deter Dr. Papanicolaou from continuing his research in this field in 1939, until eventually his findings were published on March 11, 1941," wrote Ioannis N. Mammas and Demetrios A. Spandidos in Experimental and Therapeutic Medicine.

This is by no means the only example – many researchers face setbacks and long experimentation periods that seemingly go nowhere, making any outcome at all even more sacred.

A marshmallow now…

A new study by Adrianna Jenkins, a UC Berkeley postdoctoral researcher, and Ming Hsu, an associate professor of marketing and neuroscience at UC Berkeley's Haas School of Business, is making headway in determining whether willpower is actually the way one overcomes adversity or if patience is born of something else. We know the famous marshmallow test, where young children were told they could have one marshmallow right away or two marshmallows if they waited a short time. Thirty years later, the children with better impulse control were more successful than their counterparts who had little self-control.

The newer study works like this: "The actual reward outcomes were identical, but the way they were framed differed. For example, under an "independent" frame, a participant could receive $100 tomorrow or $120 in 30 days. Under a "sequence" frame, a participant had to decide whether to receive $100 tomorrow and no money in 30 days or no money tomorrow and $120 in 30 days." More on this later.

As one might guess, the ones who showed delayed gratification were the ones using their imaginations the most: "Participants in the sequence frame reported imagining the consequences of their choices more than those in the independent frame. One participant wrote, 'It would be nice to have the $100 now, but $20 more at the end of the month is probably worth it because this is like one week's gas money.''

Willing yourself patient?

So how does willpower play into the equation? "Whereas willpower might enable people to override impulses, imagining the consequences of their choices might change the impulses," Jenkins says. "People tend to pay attention to what is in their immediate vicinity, but there are benefits to imagining the possible consequences of their choices."

Researchers may not think of themselves as particularly creative, but an imagination is definitely needed to frame hypotheses and conduct experiments, so one could argue that scientists are perhaps some of the most creative, imaginative people around.

The Big Idea

Waiting is still a drag, right?

In The Greater Good, a University of California – Berkeley science magazine, there were three concrete steps to help your research become even more fulfilling and make you more patient as an investigator: mindfulness, reframing the situation and being grateful.

First, mindfulness. Mindfulness techniques include things as simple as acknowledging you are overwhelmed or frustrated with a co-PI. It lets you deal better and leads to the second step, which is reframing the situation in a positive light. And, remember the $120 scenario? Those who were grateful for the amount of money they were receiving did better at delaying gratification, according to the study.

So, when you're working on your latest research, don't forget to practice patience. The fruits will taste even sweeter once the obstacles are endured, one by one.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”