ESRF - The European Synchrotron’s Post

Two works, by our former students Elif Özkan and Ryan Sijstermans, have been disseminated (presentation and poster) in the 10th IWINAC/ICINAC International Conference on the Interplay between Natural and Artificial Computation #iwinac - Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals - https://lnkd.in/exMziT_K - Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models - https://lnkd.in/ejfzirep

I had the pleasure of speaking with Aristotelis Tsirigos of NYU Grossman School of Medicine to learn more about a super interesting and new self-taught artificial intelligence tool in development! Check out the full article here: https://lnkd.in/erREWuUJ

Here's something that might "blue" your mind. Our research extends beyond the brain and immune effects. We're also interested in anti-viral research to minimize the chances of people falling sick. Since 2013, we have provided blue light devices and collaborated on research with Harvard Medical School for anti-pathogenic research 👨🔬 Our blue light technology is featured in 3 published anti-microbial studies conducted by researchers at Harvard Medical School: https://lnkd.in/ghvwjSkA The nasal cavity hosts major pathogens, making it an ideal defensive location as an entryway into the human body. Our MIP device features similar blue light technology 🐳 Check out the MIP here: https://lnkd.in/gUNV9Y_K

Very excited to share that our latest research has demonstrated, for the first time, that the rapid transitions between whole-brain EEG connectome states (and yes, they are in source-space!) are indeed heritable! Stay tuned for our follow-up study, already accepted in the same journal, which reveals the cognitive significance of these heritable brain phenotypes!

Dongsuk Sung, a Ph.D. student at Georgia Tech and Emory, dives into the unexplored realm of brain temperature as a key health marker. His groundbreaking research aims to predict brain temperature accurately, offering a valuable tool for clinicians in emergency departments. Sung's non-invasive computational model, recently awarded by the Chih Foundation, opens new avenues for improved patient outcomes in brain-related diseases. Read the full story here: https://lnkd.in/dfEBER7W.

It's World Brain Day, take a look at some of the mind-altering research happening at #NYUTandon Researchers at #NYUTandon led by Rose T. Faghih, Associate Professor of Biomedical Engineering, have developed a decoder to estimate an aspect of emotion known as sympathetic arousal from skin conductance and an energy state from cortisol measurements. The model was able to capture more subtle, fine-grained variations in the underlying states compared to estimates from some of their earlier models. Click the link to learn more about this research. #NYUTandonMade

In the latest Science Spotlight, Dr. Sara Lewis, a Postdoctoral Research Associate at Phoenix Children’s Hospital and CPARF grant recipient, explores electrical activity in the brain and the creation of clinical tools used to measure movement. Read now: https://ow.ly/5aAR50ReiGU #ScienceSpotlight #Movement #Brain #CPresearch [Image description: A dark blue background with light blue waves in the top left and bottom right corners. White text in the middle reads, "Science Spotlight: Your Electrical Brain, Part One" Below a drawing of a brain. The CPARF logo is in the bottom left corner.]

📚 WISH Faculty Publication Series📚 Proud to spotlight our WISH faculty, Dr. Omer Inan's recent publication at Georgia Tech: "A Comparison of Normalization Techniques for Individual Baseline-Free Estimation of Absolute Hypovolemic Status Using a Porcine Model." This groundbreaking study tackles the challenges of early hypovolemia detection in critical field settings, paving the way for more effective interventions and saving lives. https://lnkd.in/gra8gtzW Dr. Inan's innovative approach in developing real-time sensing methods without relying on individual baselines is a testament to our commitment to advancing military medicine. Read the full article to discover how we're setting new standards in medical response. #WearableSensors #Hypovolemia #MilitaryMedicine #MedicalResearch #WISHCenter #GeorgiaTech #Innovation #MDPI

Interesting article about study of Tai Chi Masters being able to control normally autonomous functions through concentration. Tai chi masters, with their highly developed ability to control blood flow to the hands (and to each one separately), may help researchers distinguish the neural tracks between the arms and legs, and between the right and left limbs. Locating and tracking these neural pathways is an important step in determining the location and likely progression of cerebral palsy’s neurological symptoms, for example. The scientists said: “Tai Chi Masters have beautiful brains!” https://lnkd.in/gRXYrGfU

Prof. Valentin Pavlov, Excellent 3D chart of spatiotemporal resolution vs. sensor size! In more than one way this chart is like a flashlight aimed at future innovations in BMI. As a QA engineer in the neuroengineering discipline, I would like to request one more dimension to this chart though - and that would be an axis for reliability/robustness. How well do each of these technologies, as implemented today, last, following deployment? What is the distribution of failures across, say, a 2D grid of sensors and can partial data be used to reconstruct missing data reliably so that we can proceed recording from an imperfect implant? Good 3D volumetric reconstruction algorithms might be of tremendous help in post-processing data from the massively miniaturized, massively parallel sensor setup. Thanks for sharing!