Austin offers the least bang for your buck among Texas' major metro areas. Photo by Ariel Skelley/Getty Images

Houston may be in the midst of a pandemic, but that hasn't slowed our real estate market. And a new study shows just how much bang for your buck you can get in the Bayou City versus Texas' other major metro areas.

A study released July 7 by the PropertyShark real estate website shows that $250,000 will get Houston buyers a 2,318 square-foot-house, which works out the second-best value in Texas.

In the Houston metro area, last year's sales of single-family homes totaled 90,145, up 3.6 percent from 2018, according to the Texas Association of Realtors.

"Townhomes and condominiums had a roller coaster ride and the luxury market cooled a bit, but overall, 2019 was a phenomenal year," John Nugent, 2020 chairman of the Houston Association of Realtors, said in a January release.

For some comparison, $250,000 nets Austin buyers a 1,139-square-foot house — the least amount among Texas' biggest cities. PropertyShark's data includes single-family homes, duplexes, condos, and townhouses.

In its report on the 2019 real estate market, the Austin Board of Realtors noted that median home price in the region rocketed from $193,520 in 2010 to $318,000 in 2019. The Texas Association of Realtors says 36,782 single-family homes were sold in the Austin metro area last year.

"If we don't take action to increase housing supply in Austin, we will continue to see exponential increases in home values," Romeo Manzanilla, 2020 president of the Austin Board of Realtors, warned in a January release.

While Austin's position in the PropertyShark study is worse than every other big city in Texas, it's considerably better than places like New York City, San Francisco, and Los Angeles. In Manhattan, $250,000 would enable you to buy a home the size of a hotel room — 232 square feet. The situation isn't much better in San Francisco, where $250,000 would get you a 269-square-foot home. In Los Angeles, that dollar amount would let you purchase a 524-square-foot home.

"In the country's most populated cities with more than 900,000 residents, the difference in price per square foot between coastal cities and Texas cities is miles apart," PropertyShark notes. "As expected, vast Texas leads the way in providing the most space for the lowest price. In fact, in every Texas city we analyzed, $250,000 will buy more than 1,000 square feet."

San Antonio, meanwhile, continues to solidify its status as the most affordable housing market among major Texas cities. According to the study, a buyer spending $250,000 could purchase a 2,503-square-foot home in San Antonio. That amounts to $100 per square foot.

Looking at the country's 100 largest cities, San Antonio ranks 15th for the amount of square footage available for $250,000. Detroit sits atop the list. There, you can buy a 5,407-square-foot home for $250,000, PropertyShark says.

Last year, 35,456 single-family homes were sold in the San Antonio metro area, according to the Texas Association of Realtors. That's a 6 percent increase compared with 2018. Homes priced between $200,000 and $500,000 made up more than half of the region's sales volume in 2019.

"San Antonio continues to be a top destination for both buyers and sellers, and it's exciting to see such tremendous growth in people achieving their dreams of homeownership," Kim Bragman, 2020 chairwoman of the San Antonio Board of Realtors, said in a January release.

Looking at the country's 100 largest cities, San Antonio ranks 15th for the amount of square footage available for $250,000. Detroit sits atop the list. There, you can buy a 5,407-square-foot home for $250,000, PropertyShark says.

Here's how all the cities in Texas' four largest metro areas compared when it comes to the amount of space you can score for $250,000:

  • Houston, 2,318 square feet
  • San Antonio, 2,503 square feet
  • Arlington, 2,240 square feet
  • Garland, 2,218 square feet
  • Fort Worth, 2,109 square feet
  • Irving, 2,072 square feet
  • Dallas, 1,722 square feet
  • Plano, 1,657 square feet
  • Austin, 1,139 square feet

Like San Antonio and Austin, Houston and Dallas-Fort Worth enjoyed robust home sales volume in 2019.

In Dallas-Fort Worth, single-family home sales totaled 103,261 last year, up 3 percent from 2018, the Texas Association of Realtors says.

"Dallas-Fort Worth winds up with record sales again," James Gaines, chief economist at Texas A&M University's Real Estate Center, said in January. "The Dallas side of the Metroplex was actually a little better than Fort Worth."

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This article originally ran on CultureMap.

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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.”