First ‘Plug and Play’ Brain Prosthesis Demonstrated in Paralyzed Person
The achievement of “plug and play” performance demonstrates the value of so-called ECoG electrode arrays for BCI applications.
University of California San Francisco
Give to UCSFThe achievement of “plug and play” performance demonstrates the value of so-called ECoG electrode arrays for BCI applications.
The award provides unrestricted funding of $1.25 million over five years to support Fujimori’s teaching and leadership roles and advance her quest to understand life’s fundamental chemistry.
New research by neuroscientists at the University of Pittsburgh and UC San Francisco revealed that a simple, earbud-like device developed at UCSF that imperceptibly stimulates a key nerve leading to the brain could significantly improve the wearer’s ability to learn the sounds of a new language.
As the United States’ testing regime floundered early in the pandemic, scientists at UCSF and the Chan Zuckerberg Biohub created from scratch a diagnostic lab that became a model for the nation.
Why are more men than women dying of COVID-19? Scientist Faranak Fattahi, PhD, has found a clue.
Joel Ernst, MD, addresses key questions about how vaccine development works and why vaccines are especially important in the case of COVID-19.
UCSF researchers are taking a closer look at COVID-19’s dizzying array of symptoms to get at the disease’s root causes.
Julius has used chili peppers, menthol, wasabi, and spider venom to research the molecular machines that allow us to feel heat, cold, inflammation and related physical sensations.
The two from UCSF are among 120 new members elected to the Academy in 2020.
Vigorously embracing their leadership roles, our faculty members are coming together to tackle this public health crisis from all angles.
The breakthroughs came as Jack Levin was trying to find out if the cells normally circulating in the horseshoe crab’s blood, called amebocytes, triggered clotting, as platelets do in human blood.
Scientists have documented the influence of information overload on attention, perception, memory, decision-making, and emotional regulation. But the same technologies contributing to the cognition crisis could help solve it, argues neuroscientist Adam Gazzaley.
No one can see the future, but that won’t stop us from trying. We asked UCSF faculty and alumni to score these predictions for likelihood and impact.
With the rise of “direct-to-consumer” DNA tests, investigating your genes is easier than ever. But taking one of these tests may not be right for you, says UCSF professor Kathryn Phillips, PhD, who studies new health care technologies.
From international awards for high-caliber research to groundswell movements for social change, this past year was an eventful one for the UCSF community.
UC San Francisco and the Translational Research Institute for Space Health are co-sponsoring the inaugural Space Health Innovation Conference to advance research and scientific understanding of how space travel impacts health.
Now in its sixth year, the Best Global Universities rankings focus on schools’ academic research and reputation.
UCSF is launching a new center to accelerate the application of AI technology to radiology.
The NIH has awarded grants to Faranak Fattahi, Alexander Pollen, and Vasanth Vedantham to pursue highly innovative and unusually impactful biomedical research.
Julius received the prize “for discovering molecules, cells, and mechanisms underlying pain sensation.”
UCSF scientists have for the first time decoded spoken words and phrases in real time from the brain signals that control speech.
Researchers devised “smart” cells that behave like tiny autonomous robots which may be used to detect damage and disease, and deliver help at just the right time and in just the right amount.
Knight, an associate professor in the Department of Physiology, investigates how the brain senses the needs of the body and then generates specific behaviors to restore physiologic balance – sometimes in surprising ways.
The intervention, an app called MediTrain, uses a closed-loop algorithm that tailors the length of meditation sessions to the abilities of the participants.
The UCSF study examined whether a mobile phone physical activity app combined with brief, in-person counseling increased and maintained levels of physical activity
Chuang and Keiser have shown how machine learning could lead scientists astray and how scientists might, in the future, avoid some of the pitfalls of training computers to be scientists.