Paradromics receives FDA approval for its first human trial testing the Connexus BCI device that aims to restore speech for people with paralysis through brain signals.

The Austin-based startup will test its high-bandwidth device to help restore speech in people with extremely limited movement. Brain implant developer Paradromics has received approval from the US Food and Drug Administration to test its device in an early-stage human trial, the company announced Thursday. The Austin-based company is aiming to give a digital voice to people who have lost the ability to speak due to severe motor impairment. The trial will assess the long-term safety of the Paradromics device, as well as its ability to enable synthesized speech and text communication. Paradromics is one of several companies--which include Neuralink, Synchron, Precision Neuroscience, and Cognixion --working on technology to control computers and other devices using brain waves.

Paradromics is shifting from research to clinical trials. Recently, a neurotech company called Paradromics made headlines by successfully implanting its brain-computer interface (BCI) in a human for the first time. The procedure happened at the University of Michigan during a patient's routine epilepsy surgery. The device was both placed and removed in just about 20 minutes, a quick turnaround for such a complex technology. This achievement is a big deal for Paradromics, which has been working on this brain implant technology for nearly 10 years.

Brain-computer interface startup Paradromics today announced that surgeons successfully inserted the company's brain implant into a patient and safely removed it after about 10 minutes. It's a step toward longer trials of the device, dubbed Connexus. It's also the latest commercial development in a growing field of companies--including Elon Musk's Neuralink--aiming to connect people's brains directly to computers. With the Connexus, Austin-based Paradromics is looking to restore speech and communication in people with spinal cord injury, stroke, or amyotrophic lateral sclerosis, also known as ALS. The device is designed to translate neural signals into synthesized speech, text, and cursor control.

Elon Musk's SpaceX recently launched the biggest and most powerful rocket into flight, even though it did make it into orbit. But the world's richest man isn't content on expanding his sci-fi inspired technology into just the cosmos. Neuralink, the tech startup co-founded by Musk, also wants to embark on a fantastic voyage into the brain. Two weeks ago, the company announced it had gained approval from the Food and Drug Administration to begin trials to implant brain chips into humans. We don't know when trials will begin, but there's plenty of buzz around Neuralink's development of a brain-computer interface.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. The U.S. Census Bureau reports that during the onset of COVID-19 in 2020, 28 million American citizens didn't have health insurance at any point during the year. And although many Americans did have health insurance, it often does not cover everything individuals need like mental health services and follow-up breast cancer screenings, which aren't always covered. This is where artificial intelligence (AI) can step in to provide quality healthcare options at a lower cost. Companies like Vara and Paradromics are already working to increase access, affordability and ultimately healthcare outcomes -- and investors are paying close attention.

The device sends weak electrical pulses into the brain to increase the efficiency of physical training. The product relies on the concept of neuro priming, i.e. using electrical stimulation to increase plasticity in the brain prior to an activity. According to the company, together with physical training, this results in increased strength, endurance, and muscle memory.

Almost two years ago, Dennis Degray sent an unusual text message to his friend. "You are holding in your hand the very first text message ever sent from the neurons of one mind to the mobile device of another," he recalls it read. Degray, 66, has been paralysed from the collarbones down since an unlucky fall over a decade ago. He was able to send the message because in 2016 he had two tiny squares of silicon with protruding metal electrodes surgically implanted in his motor cortex, the part of the brain that controls movement. By imagining moving a joystick with his hand, he is able to move a cursor to select letters on a screen.

Almost two years ago, Dennis Degray sent an unusual text message to his friend. "You are holding in your hand the very first text message ever sent from the neurons of one mind to the mobile device of another," he recalls it read. Degray, 66, has been paralysed from the collarbones down since an unlucky fall over a decade ago. He was able to send the message because in 2016 he had two tiny squares of silicon with protruding metal electrodes surgically implanted in his motor cortex, the part of the brain that controls movement. By imagining moving a joystick with his hand, he is able to move a cursor to select letters on a screen.

Somewhat unceremoniously, Facebook this week provided an update on its brain-computer interface project, preliminary plans for which it unveiled at its F8 developer conference in 2017. In a paper published in the journal Nature Communications, a team of scientists at the University of California, San Francisco backed by Facebook Reality Labs -- Facebook's Pittsburgh-based division devoted to augmented reality and virtual reality R&D -- described a prototypical system capable of reading and decoding study subjects' brain activity while they speak. It's impressive no matter how you slice it: The researchers managed to make out full, spoken words and phrases in real time. Study participants (who were prepping for epilepsy surgery) had a patch of electrodes placed on the surface of their brains, which employed a technique called electrocorticography (ECoG) -- the direct recording of electrical potentials associated with activity from the cerebral cortex -- to derive rich insights. A set of machine learning algorithms equipped with phonological speech models learned to decode specific speech sounds from the data and to distinguish between questions and responses.