A Houston startup is making it easier to connect and manage the relationship between tech freelancers and businesses with software projects. Image via Pexels

With the gig economy continuing to grow — especially in light of the COVID-19-caused crisis and growing unemployment — a Houston startup has created a portal for companies to access technology-focused freelancers.

FreelancingTeams, co-founded by Raj Kal, allows companies to easily search and find tech professionals for projects — as well as manage that team throughout the work. On the other side of the table, the startup is allowing the country's growing population of freelancers a platform to get picked up for jobs.

"We are changing the way we look at team building," Kal says, noting that a huge percentage of freelancers struggle to find jobs with existing resources.

Not only does FreelancingTeams act as a marketplace for tech talent, but Kal says the platform allows for project management and payment processes. While there are other talent portals — like Fiverr and Upwork — this added capability sets the startups apart from its competition.

"People come in with an idea, and they can do it from start to finish," Kal says, explaining that users don't have to find separate tools to find their team, manage the project, and price and pay for the work.

FreelancingTeams is free for clients to list and staff their projects, and a 10 to 15 percent cut comes out of the freelancer side. However, there is an option for clients to upgrade to a paid subscription option for larger, more complex projects that require additional hands-on management resources from FreelancingTeams.

With its free option, FreelancingTeams has seen a lot of interest from startups looking to build there minimum viable product, or MVP.

"We are working with a lot of startups as a Station Houston partner," Kal says. "We are helping them get their MVP done, so that when they come to our platform, we can work with them to understand the requirements and connect them to their teams."

Betsy Furler, founder of For All Abilities, a Houston-based software company aims to help businesses support employees with ADHD, Dyslexia, learning differences, and Autism, recently used FreelancingTeams to staff her MVP development project. She says using the platform made it easy to manage and test the work the freelancers were doing.

"FreelancingTeams helped me build my MVP quickly and inexpensively," Furler says. "Their quote was much less expensive than the others [I received] and the work was fantastic. Because of the platform, I also spent more time thinking through what features were needed and how to prioritize them, rather than just giving a developer or project manager a list to complete."

Outside of affordably building tech for startups, the coronavirus has greatly affected the workforce with unemployment at a historic high. This has led to an increased interest in freelancing.

"A lot of people are unemployed and are looking for alternative options," Kal says. "Freelancing is a place where we are seeing large growth."

He says he's also observing an increased interest in freelancers from large companies and even retailers who need to upgrade their online presence.

"The COVID situation has brought more challenges to bigger businesses, and they are looking for cost-effective solutions as well," Kal says.

Kal is looking to grow FreelancingTeams, which might include fundraising in the future, he says. For now, the company has a low overhead and uses freelancers on its own site to develop its technology.

"The next step for us is to grow bigger in Houston and then around Texas," Kal says.

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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.”