In a recent study published in Science Advances, researchers from the California Institute of Technology, led by Dr. Wei Gao, have developed a machine learning (ML)–powered 3D-printed epifluidic electronic skin for multimodal health surveillance. This wearable platform enables real-time physical and chemical monitoring of health status.
Wearable health devices have the potential to revolutionize the medical world, offering real-time tracking, personalized treatments, and early diagnosis of diseases.
However, one of the main challenges with these devices is that they don’t track data at the molecular level, and their fabrication is challenging. Dr. Gao explained why this served as a motivation for their team.
People in the oldest stage of life who regularly engage in aerobic activities and strength training exercises perform better on cognitive tests than those who are either sedentary or participate only in aerobic exercise. That is the key finding of our new study, published in the journal GeroScience.
We assessed 184 cognitively healthy people ranging in age from 85 to 99. Each participant reported their exercise habits and underwent a comprehensive battery of neuropsychological tests that were designed to evaluate various dimensions of cognitive function.
We found that those who incorporated both aerobic exercises, such as swimming and cycling, and strength exercises like weightlifting into their routines – regardless of intensity and duration – had better mental agility, quicker thinking and greater ability to shift or adapt their thinking.
And that is just health care. In 1940, there were 42 workers per beneficiary of Social Security. Today, there are only 2.8 workers per beneficiary, and that number is getting smaller. We are going broke, and the young men who will play a huge role in determining our nation’s future are going there with AI girlfriends in their pockets.
While the concept of an AI girlfriend may seem like a joke, it really isn’t that funny. It is enabling a generation of lonely men to stay lonely and childless, which will have devastating effects on the U.S. economy in less than a decade.
Aside from faster results, edge computing has the added benefit of increased privacy: If your health information never leaves your wearable, you don’t have to worry about someone else intercepting it — or interfering with it — en route.
So why do we run these apps in the cloud, instead of locally? The problem is that wireless devices have limited processing power and battery — to run a more advanced and energy-intensive AI program, you may have to turn to huge servers in the cloud.
A Stanford-led team has now unveiled NeuRRAM, a new microchip that could let us run advanced AI programs directly on our devices.
Dr. Cody Visits Kernel Neuroscience Headquarters and tries on the Kernel Flow.
►►► INSTAGRAM (Behind The Scenes with Cody Rall MD):
https://www.instagram.com/codyrall_techforpsych/
►►► Dr. Cody’s presentation to Harvard/Digital Psychiatry: https://www.sodpsych.org/events.
►►► Kernel Lab and Aimlab footage posted with permission from Kernel: https://www.kernel.com/ and https://www.youtube.com/channel/UCXifD9arenz_20VlzLDHbwA
Cody Rall, M.D., is a United States Navy trained Psychiatrist who specializes in neurotechnology wearables. He is a co-founder of Stanford Brainstorm, the world’s first academic laboratory dedicated to transforming brain health through entrepreneurship.
Dr. Rall also served as a selection judge and team member of the psychiatry innovation lab, an annual national competition at the American Psychiatric Association that works as an incubator for groups developing technological solutions to problems in mental health care. He is the founder of Techforpsych, a media and relations company that covers advancements in technology related to neuroscience.
It’s no secret that our lungs play a vital role in our daily lives—ensuring we can breathe, fend off infections, and adapt to various challenges. Despite their importance, the organs still puzzle many medical experts, especially when they’re affected by diseases. While traditional tools like MRI and CT scans are helpful when a patient is experiencing a lung-related illness, they can still fall short in providing the detailed, real-time information needed to understand the intricacies of lung health.
Enter the groundbreaking innovation known as the crystal ribcage. Developed by researchers in Boston University’s College of Engineering, Pulmonary Center, Center for Multiscale and Translational Mechanobiology, and Neurophtonics Center, the technology is poised to revolutionize not only our understanding of lung function but also holds immense potential for other organs and treatments.
In new research, published this month in Nature Methods, the crystal ribcage acts as a clear, protective shield for a mouse’s lungs, allowing scientists to get a close view of how these organs work in real-time, and at a cellular level. What makes this technology special is that it doesn’t disrupt the lung’s natural processes—breathing and blood circulation continue as usual while the researchers observe.
The recent introduction of the breathtaking AI tool ChatGPT has sparked a national dialogue about the future of artificial intelligence in health care, education, research, and beyond. In this session, four UCSF experts discuss AI’s current and potential uses, in areas ranging from research to education to clinical care. After a brief presentation by each speaker, DOM Chair Bob Wachter moderates a far-ranging panel discussion on the health care applications of ChatGPT.
Speakers:
Atul Butte, MD, PhD, professor of Pediatrics, Bioengineering and Therapeutic Sciences, and Epidemiology and Biostatistics; director, UCSF Bakar Computational Health Sciences Institute; chief data scientist, University of California Health System.
Daniel Lowenstein, MD, professor of Neurology; former executive vice chancellor and provost, UCSF
Sara Murray, MD, MAS, associate professor, Division of Hospital Medicine at UCSF Health; associate chief medical information officer, Inpatient Care and Data Science, UCSF Health.
Aaron Neinstein, MD, associate professor, Division of Endocrinology at UCSF Health; vice president of Digital Health, UCSF Health; senior director, UCSF Center for Digital Health Innovation.
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