Blocking the brain protein EPAC2 reverses sensory hypersensitivity, social deficits, and seizures in Fragile X syndrome.
Age-related macular degeneration (AMD) is the leading cause of irreversible blindness among aging people globally. Around one in seven Australians over the age of 50 have some signs of AMD.
The disease results in blurred and distorted vision, and often loss of function at the center of the eye’s visual field.
The best current treatment involves a series of injections to slow the progression of the disease, but this process can be expensive and difficult with potentially negative long-term effects.
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This course is a deep dive into deep learning methods with a focus on end-to-end models for core vision tasks, alongside modern approaches such as transformers, diffusion models, and visual-language models that power today’s AI systems. During the 10-week course, students will learn to implement and train their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. Additionally, the final assignment will give them the opportunity to train and apply multi-million parameter networks on real-world vision problems of their choice. Through multiple hands-on assignments and the final course project, students will acquire the toolset for setting up deep learning tasks and practical engineering tricks for training and fine-tuning deep neural networks. https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision
A research team led by Prof. Jerald Yoo from the Department of Electrical and Computer Engineering at Seoul National University (SNU) has developed a skin-conformal wearable health care system, “SkinECG,” capable of measuring electrocardiogram (ECG) signals without a battery. By combining energy harvesting with human body–coupled power transfer, the study presents a new solution to one of the most critical challenges in wearable devices: power supply.
The findings are published in Science Advances.
Wearable health care systems are emerging as next-generation medical technologies that enable real-time monitoring of physiological signals through body-worn sensors, allowing early detection of disease-related abnormalities.
Unlike previous HIV “cures” involving cancer patients given bone marrow stem cells from a donor with a rare genetic mutation that resists HIV infection, researchers said CAR-T could be used by a much broader patient population. The Phase 1 trial involved CAR-T, a one-time therapy in which a patient’s T-cells are extracted, altered and multiplied in a lab and infused back into their body. In this case, the CAR-T targeted the CD4 and CCR5 binding sites of the HIV.
Of three trial patients treated with a standard CAR-T dose, researchers said two maintained undetectable to very low levels of HIV after stopping antiretroviral therapy — one for over two years so far and another for nearly a year. “The two that have been off (HIV drugs) the longest and doing well were importantly diagnosed pretty quickly and put on therapy pretty quickly,” said Dr. Steven Deeks, professor of medicine at the University of California, San Francisco and the study’s lead investigator.
Currently, CAR-T treatments are available for several types of blood cancer, and are being developed for autoimmune diseases like lupus and scleroderma. Tap the link to learn more about the recent study.
Re-engineering an HIV patient’s own immune cells to find and destroy the virus succeeded in controlling the infection in a small first-in-human study, but researchers said work is needed to confirm the findings and determine which patients are most likely to benefit.
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