UC San Diego researchers unveil a revolutionary brain monitoring system, enabling high-resolution, wireless recording in deep brain structures for diverse clinical applications.
UC San Diego introduces breakthrough wireless brain monitoring, paving the way for precision medicine in neurological disorders.
“We combined the predictive model with patient feedback from the PCI Patient Advisory Council to transform machine learning into this patient-centered, individualized risk prediction tool,” said senior author Hitinder Gurm, MBBS, interim chief medical officer at U-M Health.
The tool can help you and your doctor make informed decisions about your treatment. It can also educate you about the potential risks and benefits of PCI. By using the tool, you can have more confidence and control over your health.
The researchers hope that the tool will improve the quality and safety of PCI, and ultimately, save lives.
Anthrobots: These remarkable spheroid-shaped multicellular biological robots, or biobots, are not the products of advanced robotics laboratories but are instead born from the inherent potential of adult human somatic progenitor seed cells.
Advanced Science is a high-impact, interdisciplinary science journal covering materials science, physics, chemistry, medical and life sciences, and engineering.
High-throughput drug solubility measurements can be efficiently performed on microplate laser nephelometers.
Microplate nephelometer that detects insoluble particles in liquids. It can be used for solubility screenings and microbial growth measurements.
For example, the New York Times states: “The AI industry this year is set to be defined by one main characteristic: A remarkably rapid improvement of the technology as advancements build upon one another, enabling AI to generate new kinds of media, mimic human reasoning in new ways and seep into the physical world through a new breed of robot.”
Ethan Mollick, writing in his One Useful Thing blog, takes a similar view: “Most likely, AI development is actually going to accelerate for a while yet before it eventually slows down due to technical or economic or legal limits.”
The year ahead in AI will undoubtedly bring dramatic changes. Hopefully, these will include advances that improve our quality of life, such as the discovery of life saving new drugs. Likely, the most optimistic promises will not be realized in 2024, leading to some amount of pullback in market expectations. This is the nature of hype cycles. Hopefully, any such disappointments will not bring about another AI winter.
Arthur, 11, was one of the first in the UK to try blinatumomab, for his type of blood cancer.
CAR-T expert Terry Fry of the University of Colorado Cancer Center talks about new data and future applications for this immunotherapy.
The findings are published in Science.
“This is a good example of how understanding a mechanism helps you to develop an alternative therapy that’s more beneficial. Once we identified the mechanism causing the colitis, we could then develop ways to overcome this problem and prevent colitis while preserving the anti-tumor effect,” said senior study author Gabriel Nunez, M.D., Paul de Kruif Professor of Pathology at Michigan Medicine.
Recent research suggests that a number of neuronal characteristics, traditionally believed to stem from the cell body or soma, may actually originate from processes in the dendrites. This discovery has significant implications for the study of degenerative diseases and for understanding the different states of brain activity during sleep and wakefulness.
The brain is an intricate network comprising billions of neurons. Each neuron’s cell body, or soma, engages in simultaneous communication with thousands of other neurons through its synapses. These synapses act as links, facilitating the exchange of information. Additionally, each neuron receives incoming signals through its dendritic trees, which are highly branched and extend for great lengths, resembling the structure of a complex and vast arboreal network.
Continue reading “Redefining Brain Function: Physicists Overturn Long-Standing Assumptions” »
Finding ways to reduce the invasiveness of brain implants could greatly expand their potential applications. A new device tested in mice that sits on the brain’s surface—but can still read activity deep within—could lead to safer and more effective ways to read neural activity.
There are already a variety of technologies that allow us to peer into the inner workings of the brain, but they all come with limitations. Minimally invasive approaches include functional MRI, where an MRI scanner is used to image changes of blood flow in the brain, and EEG, where electrodes placed on the scalp are used to pick up the brain’s electrical signals.
The former requires the patient to sit in an MRI machine though, and the latter is too imprecise for most applications. The gold standard approach involves inserting electrodes deep into brain tissue to obtain the highest quality readouts. But this requires a risky surgical procedure, and scarring and the inevitable shifting of the electrodes can lead to the signal degrading over time.
