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A new biodegradable electrode stimulates brain repair by activating neural precursor cells, dissolving naturally after a week. This breakthrough could transform treatments for neurological disorders like stroke.


Summary: Researchers have developed a flexible, biodegradable electrode capable of stimulating neural precursor cells (NPCs) in the brain, offering a safer and more precise alternative for neural repair. The electrode dissolves naturally after seven days, eliminating the need for surgical removal while promoting tissue regeneration.

Made from FDA-approved materials, the device successfully increased NPC activity in preclinical models without causing significant inflammation or damage. This innovation could significantly expand treatment options for neurological disorders, which are a leading cause of disability worldwide.

Future developments aim to integrate drug and gene therapy delivery into the electrodes for enhanced therapeutic potential.

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a widely recognized but poorly understood process in the field of machine learning.

Many of today’s technologies, from digital assistants like Siri and ChatGPT to and self-driving cars, are powered by machine learning. However, the —computer models inspired by the —behind these machine learning systems have been difficult to understand, sometimes earning them the nickname “” among researchers.

“We create neural networks that can perform , while also allowing us to solve the equations that govern the networks’ activity,” said Lyle Muller, mathematics professor and director of Western’s Fields Lab for Network Science, part of the newly created Fields-Western Collaboration Centre. “This mathematical solution lets us ‘open the black box’ to understand precisely how the network does what it does.”

Zerodha co-founder Nithin Kamath triggered a conversation online after he shared the wisdom of 92-year-old US-based mathematician and professor Edward Thorp on longevity on social media.

In a post on X, Kamath praised Thorp’s advice, calling it “brilliant” and stating, “This is the only longevity expert you need to listen to.”

Thorp’s message delves into a balanced approach to living a long and healthy life. His philosophy combines “defence,” which involves mitigating risks like cardiovascular diseases through diet, exercise, and regular check-ups, and “offence,” with an emphasis on exercise as a “magic bullet” to extend both lifespan and health span.

DLB is a common cause of dementia. It starts by the abnormal accumulation of the protein alpha-synuclein in the brain. This produces degeneration of the brain and causes problems with thinking, movement, and behavior. Eventually, the disease leads to dementia and death. Doctors use a imaging technique called FDG-PET to assess how the brain is affected in DLB. However, until now, there was no information on how these brain changes develop over time.

The study, led by Dr. Daniel Ferreira at the Department of Neurobiology, Care Sciences and Society, followed 35 patients with DLB, 37 patients with early-stage DLB (called prodromal DLB), and 100 healthy people from Mayo Clinic (USA), for an average of 3.8 years. The researchers found that brain degeneration starts early in prodromal DLB and worsens as the disease progresses.

“We discovered that people with prodromal DLB had faster degeneration in certain brain areas compared to healthy individuals,” said Dr. Ferreira.” This information is crucial for monitoring disease progression from early stages and planning clinical trials for new treatments.”

longitudinal FDG-PET metabolic change along the lewy body.

Second, Synchron will explore the development of a groundbreaking foundation model for brain inference. By processing Synchron’s neural data on an unprecedented scale, this initiative will create scalable, interpretable brain-language models with the potential to transform neuroprosthetics, cognitive expression, and seamless interaction with digital devices.

“Synchron’s vision is to scale neurotechnology to empower humans to connect to the world, and the NVIDIA Holoscan platform provides the ideal foundation,” said Tom Oxley, M.D., Ph.D., CEO & Founder, Synchron. “Through this work, we’re setting a new benchmark for what BCIs can achieve.”


NEW YORK—()— Synchron, a category-defining brain-computer interface (BCI) company, announced today a step forward in implantable BCI technology to drive the future of neurotechnology. Synchron’s BCI technology, in combination with the NVIDIA Holoscan platform, is poised to redefine the possibilities of real-time neural interaction and intelligent edge processing.

Synchron will leverage NVIDIA Holoscan to advance a next-generation implantable BCI in two key domains. First, Synchron will enhance real-time edge AI capabilities for on-device neural processing, improving signal processing and multi-AI inference technology. This will reduce system latency, bolster privacy, and provide users with a more responsive and intuitive BCI experience. NVIDIA Holoscan provides Synchron with: (i) a unified framework supporting diverse AI models and data modalities; (ii) an optimized application framework, from seamless sensor I/O integration, GPU-direct data ingestion, to accelerated computing and real-time AI.

Source: NUS

Researchers have uncovered novel insights into how brain function disruptions related to cerebrovascular disease (CeVD) interact with Alzheimer’s disease (AD) pathology to impact neurodegeneration and cognition in older adults.

Led by Associate Professor Juan Helen Zhou, Director of the Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine), the research team revealed a brain functional connectome phenotype that is related to multiple CeVD markers and contributes additively to cognitive decline and neurodegeneration alongside AD.

Red light exposure may reduce blood clot risks, according to groundbreaking research. By lowering inflammation and platelet activity, it could prevent strokes, heart attacks, and more. Clinical trials are next.


The ability of released products of platelet activation to induce thrombosis-generating neutrophil extracellular trap formation was quantified. Subsequent thrombosis was measured using murine models of VT and stroke.

To translate our findings to human patients, light-filtering cataract patients were evaluated over an 8-year period for rate of venous thromboembolism with multivariable logistic regression clustered by hospital.

Exposure to long-wavelength red light resulted in reduced platelet aggregation and activation. RNA-seq analysis demonstrated no significant transcriptomic changes between micered and micewhite.

An international team of astronomers, led by researchers from the Astronomical Observatory of the University of Warsaw, have identified a new class of cosmic X-ray sources. The findings have been published in The Astrophysical Journal Letters.

Most people encounter X-rays during medical visits where they are used to create images of bones or diagnose lung conditions. These X-rays are generated using artificial sources.

However, not everyone knows that celestial objects can also emit X-ray radiation. “Some cosmic phenomena produce X-rays naturally,” explains Dr. Przemek Mróz, the lead author of the study. “For example, X-rays may be produced by a hot gas falling onto compact objects like white dwarfs, neutron stars, or black holes. X-rays can also be generated by decelerating charged particles, such as electrons.”

Large language models (LLMs), the most renowned of which is ChatGPT, have become increasingly better at processing and generating human language over the past few years. The extent to which these models emulate the neural processes supporting language processing by the human brain, however, has yet to be fully elucidated.

Researchers at Columbia University and Feinstein Institutes for Medical Research Northwell Health recently carried out a study investigating the similarities between LLM representations on neural responses. Their findings, published in Nature Machine Intelligence, suggest that as LLMs become more advanced, they do not only perform better, but they also become more brain-like.

“Our original inspiration for this paper came from the recent explosion in the landscape of LLMs and neuro-AI research,” Gavin Mischler, first author of the paper, told Tech Xplore.

Over the last few years, artificial intelligence (AI) has been firmly in the world’s spotlight, and the rapidly advancing technology can often be a source of anxiety and even fear in some cases. But the evolution of AI doesn’t have to be an inherently scary thing — and there are plenty of ways that this emerging technology can be used for the benefit of humanity.

Writing in “AI for Good” (Wiley, 2024), Juan M. Lavista Ferres and William B. Weeks, both senior directors at Microsoft’s AI for Good Research Lab, reveal how beneficial AI is being used in dozens of projects across the world today. They explain how AI can improve society by, for example, being used in sustainability projects like using satellites to monitor whales from space, or by mapping glacial lakes. AI can also be used in the wake of natural disasters, like the devastating 2023 earthquake in Turkey, or for social good, like curbing the proliferation of misinformation online. In addition, there are significant health benefits to reap from AI, including studying the long-term effects of COVID-19, using AI to manage pancreatic cysts or detecting leprosy in vulnerable populations.

In this excerpt, the authors detail the recent rise of large language models (LLMs) such as ChatGPT or Claude 3 and how they have grown to become prominent in today’s AI landscape. They also discuss how these systems are already making a significant beneficial impact on the world.