Groundbreaking prosthesis device designed at UH earns international ‘luminary’ award

give him a hand

This Houstonian is celebrating a major win for the prosthesis device he created while at the University of Houston. Photo via UH.edu

A recent University of Houston graduate is receiving international recognition for his 3D-printable finger prosthesis.

David Edquilang, the creator of a low-cost prosthesis known as Lunet, was awarded the 2023 Red Dot: Luminary award last month at the Red Dot Award: Design Concept ceremony in Singapore. The luminary award is the highest recognition given at the international event, according to a release from UH.

Edquilang, who graduated from UH in 2022, developed Lunet while he was a student at the Gerald D. Hines College of Architecture and Design and under the mentorship of UH associate professor and co-director of the Industrial Design program Jeff Feng.

The prosthesis is made up of polylactic acid and thermoplastic polyurethane, two common types of 3D-printed plastics, and designed to be simple but essentially indestructible.

Lunet's "fingers" are made of four parts held together by plastic pins, compared to other prosthetics that feature many different parts and require metal fasteners, adhesives or tools.

“The problem with higher mechanical complexity is that these designs are less durable,” Edquilang says in the statement. “The more parts you have, the more points of failure. You need to make prosthetic fingers robust and as strong as possible, so it doesn’t break under normal use, yet you want the design to be simple. This was one of the greatest challenges in making Lunet.”

Lunet is also unique in that it includes a linkage mechanism that allows the fingers' distal knuckle (closest to the fingertip) to be more flexible, and even partially hyperextend backward to be more durable and realistic.

What's perhaps the rarest component of Lunet is that Edquilang has made it open access on the internet.

“Not every good idea needs to be turned into a business. Sometimes, the best ideas just need to be put out there,” Edquilang adds. “Medical insurance will often not cover the cost of a finger prosthesis, since it is not considered vital enough compared to an arm or leg. Making Lunet available online for free will allow it to help the greatest number of people."

The concept was born after Edquilang worked on an upper limb prosthesis with fellow UH student Niell Gorman. After that project wrapped, Edquilang, in partnership with Harris Health System, began designing a prosthetic hand for a woman who had lost three fingers due to frostbite. Edquilang and Feng continued to refine the product, and after conceptualizing the breakthrough idea for the flexible linkage for the distal knuckle, Lunet became what it is today.

The product has also won a 2023 Red Dot: Best of the Best award, two 2023 DNA Paris Design Awards, Gold for the 2023 Spark Design Award, and is currently a U.S. National Runner Up for the 2023 James Dyson Award.

“It feels great knowing you have the capability to positively impact people’s lives and give them help they otherwise wouldn’t be able to get,” Edquilang says.

This summer UH researchers also published their work on a wearable human-machine interface device that can track and record important health information but is less noticeable and lighter than a Band-Aid. The device could be attached to a robotic hand or prosthetic, as well as other robotic devices that can collect and report information to the wearer.

Also this summer, a team from Rice published their work on a new system of haptic accessories that rely heavily on fluidic control over electrical inputs to signal or simulate touch to a wearer. The technology, which was backed by the National Science Foundation, has uses for those with visual and auditory impairments and offers a slimmed-down design compared to other bulky complex haptic wearables.

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Rice, Houston Methodist developing soft 'sleep cap' for brain health research

Researchers and scientists at Rice University and Houston Methodist are developing a “sleep cap” that aims to protect the brain against dementia and other similar diseases by measuring and improving deep sleep.

The project is a collaboration between Rice University engineering professors Daniel Preston, Vanessa Sanchez and Behnaam Aazhang; and Houston Methodist neurologist Dr. Timea Hodics and Dr. Gavin Britz, director of the Houston Methodist Neurological Institute and chairman of the Department of Neurosurgery.

According to Rice, deep sleep is essential for clearing waste products from the brain and nightly “cleaning cycles” help remove toxic proteins. These toxic proteins, like amyloids, can accumulate during the day and are linked to Alzheimer’s disease and other neurological issues.

Aazhang, director of the Rice Neuroengineering Initiative, and his team are building a system that not only tracks the brain’s clearing process but can also stimulate it, improving natural mechanisms that protect against neurodegeneration.

Earlier proof-of-concept versions of the caps successfully demonstrated the promise of this approach; however, they were rigid and uncomfortable for sleep.

Preston and Sanchez will work to transform the design of the cap into a soft, lightweight, textile-based version to make sleep easier, while also allowing the caps to be customizable and tailored for each patient.

“One of the areas of expertise we have here at Rice is designing wearable devices from soft and flexible materials,” Preston, an assistant professor of mechanical engineering, said in a news release. “We’ve already shown this concept works in rigid device prototypes. Now we’re building a soft, breathable cap that people can comfortably wear while they sleep.”

Additionally, the research team is pursuing ways to adapt their technology to measure neuroinflammation and stimulate the brain’s natural plasticity. Neuroinflammation, or swelling in the brain, can be caused by injury, stroke, disease or lifestyle factors and is increasingly recognized as a driver of neurodegeneration, according to Rice.

“Our brain has an incredible ability to rewire itself,” Aazhang added in the release. “If we can harness that through technology, we can open new doors for treating not just dementia but also traumatic brain injury, stroke, Parkinson’s disease and more.”

The project represents Rice’s broader commitment to brain health research and its support for the Dementia Prevention Research Institute of Texas (DPRIT), which passed voter approval last week. The university also recently launched its Rice Brain Institute.

As part of the project, Houston Methodist will provide access to clinicians and patients for early trials, which include studies on patients who have suffered traumatic brain injury and stroke.

“We have entered an era in neuroscience that will result in transformational cures in diseases of the brain and spinal cord,” Britz said in the release. “DPRIT could make Texas the hub of these discoveries.”

Autonomous truck company with Houston routes goes public

on a roll

Kodiak Robotics, a provider of AI-powered autonomous vehicle technology, has gone public through a SPAC merger and has rebranded as Kodiak AI. The company operates trucking routes to and from Houston, which has served as a launchpad for the business.

Privately held Kodiak, founded in 2018, merged with a special purpose acquisition company — publicly held Ares Acquisition Corp. II — to form Kodiak AI, whose stock now trades on the Nasdaq market.

In September, Mountain View, California-based Kodiak and New York City-based Ares disclosed a $145 million PIPE (private investment in public equity) investment from institutional investors to support the business combo. Since announcing the SPAC deal, more than $220 million has been raised for the new Kodiak.

“We believe these additional investments underscore our investors’ confidence in the value proposition of Kodiak’s safe and commercially deployed autonomous technology,” Don Burnette, founder and CEO of Kodiak, said in a news release.

“We look forward to leading the advancement of the commercial trucking and public sector industries,” he added, “and delivering on the exciting value creation opportunities ahead to the benefit of customers and shareholders.”

Last December, Kodiak debuted a facility near George Bush Intercontinental/Houston Airport for loading and loading driverless trucks. Transportation and logistics company Ryder operates the “truckport” for Ryder.

The facility serves freight routes to and from Houston, Dallas and Oklahoma City. Kodiak’s trucks currently operate with or without drivers. Kodiak’s inaugural route launched in 2024 between Houston and Dallas.

One of the companies using Kodiak’s technology is Austin-based Atlas Energy Solutions, which owns and operates four driverless trucks equipped with Kodiak’s driver-as-a-service technology. The trucks pick up fracking sand from Atlas’ Dune Express, a 42-mile conveyor system that carries sand from Atlas’ mine to sites near customers’ oil wells in the Permian Basin.

Altogether, Atlas has ordered 100 trucks that will run on Kodiak’s autonomous technology in an effort to automate Atlas’ supply chain.

Rice University scientists invent new algorithm to fight Alzheimer's

A Seismic Breakthrough

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice, alongside Boston University, developed a computational algorithm called “Single-cell Expression Integration System for Mapping Genetically Implicated Cell Types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia — a memory-loss disease — specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our SEISMIC algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

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This article originally appeared on CultureMap.com.

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