Chinese startup Gestala develops noninvasive brain-computer interface

Gestala, a new entrant in China's expanding brain-computer interface sector, aims to connect with the brain using ultrasound technology without needing implants. This approach highlights the industry's shift toward less invasive methods. The company emerges amid rapid growth in Chinese biotech innovation.

China's brain-computer interface (BCI) industry is experiencing swift expansion, with numerous firms exploring ways to link human cognition to machines. The latest addition is Gestala, a startup focused on noninvasive techniques to bypass the risks associated with surgical implants.

Gestala plans to employ ultrasound technology for brain access, offering a safer alternative to traditional invasive methods. This development underscores China's rising prominence in biotech and science, where companies are racing to innovate in neural interfaces.

As detailed in a WIRED article published on January 29, 2026, Gestala represents the burgeoning momentum in the sector. The industry's growth reflects broader investments in advanced technologies, potentially transforming fields like medicine and computing. While specifics on Gestala's timeline or prototypes remain limited, its ultrasound-based strategy positions it as a key player in noninvasive BCI advancements.

관련 기사

Illustration of Northwestern University's wireless micro-LED brain implant delivering light patterns to mouse neurons for sensory signaling.
AI에 의해 생성된 이미지

Northwestern team develops wireless implant that ‘speaks’ to the brain with light

AI에 의해 보고됨 AI에 의해 생성된 이미지 사실 확인됨

Scientists at Northwestern University have created a soft, wireless brain implant that delivers patterned light directly to neurons, enabling mice to interpret these signals as meaningful cues without relying on sight, sound or touch. The fully implantable device uses an array of up to 64 micro-LEDs to generate complex activity patterns across the cortex, a development that could advance next-generation prosthetics and sensory therapies, according to Northwestern and Nature Neuroscience.

Researchers have developed a paper-thin brain implant called BISC that creates a high-bandwidth wireless link between the brain and computers. The single-chip device, which can slide into the narrow space between the brain and skull, could open new possibilities for treating conditions such as epilepsy, paralysis, and blindness by supporting advanced AI models that decode movement, perception, and intent.

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고위 마비를 겪은 두 명의 중국 환자가 뇌-기계 인터페이스(BMI) 기술을 사용해 생각만으로 전동 휠체어 조종, 로봇 개에게 배달물 가져오게 하고, 로봇 팔로 컵을 집어 물 마시는 데 성공했다. 이 성과는 수요일 중국과학원 상하이 뇌과학 및 지능기술 우수성 센터의 미디어 브리핑에서 발표됐다. 이는 BMI의 실용적 임상 적용을 향한 중대한 진보를 나타낸다.

Australia-based start-up Cortical Labs has announced plans to construct two data centres using neuron-filled chips. The facilities in Melbourne and Singapore will house its CL1 biological computers, which have demonstrated the ability to play video games like Doom. The initiative aims to scale up cloud-based brain-computing services while reducing energy consumption.

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중국 신경과 전문의가 어머니의 다른 질환 치료를 위해 고강도 집속 초음파(FUS)를 시행하던 중 예상치 못한 인지 개선을 발견해 알츠하이머 치료에 희망을 불러일으켰다. 쑨보민 박사는 이것이 세계 최초의 효과적인 FUS 알츠하이머 치료라고 주장한다. 90대 노모는 약 8년간 고통받았으며 2024년에 놀라운 회복을 보였다.

Researchers have developed a new bioluminescent imaging tool that allows neurons to glow from within, enabling real-time observation of brain activity without external lasers. This innovation, called CaBLAM, overcomes limitations of traditional fluorescence methods by providing clearer, longer-lasting recordings in living animals. The tool promises deeper insights into neural function and potential applications beyond the brain.

AI에 의해 보고됨

Researchers at the University of Michigan have developed an AI system called Prima that interprets brain MRI scans in seconds, identifying neurological conditions with up to 97.5% accuracy. The tool also flags urgent cases like strokes and brain hemorrhages, potentially speeding up medical responses. Findings from the study appear in Nature Biomedical Engineering.

 

 

 

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