15minAi的动态

I am excited to unveil NeuroVID Predictor, a groundbreaking AI project that I've dedicated significant effort to. Utilizing deep learning, this tool analyzes COVID-19 Radiography and Brain MRI Images to assist in disease diagnosis, representing the future of medical image analysis. Explore the project here: https://lnkd.in/daXyFVah #AI #MedicalAI #DeepLearning #HealthTech #Innovation #MachineLearning #Neuroscience #COVID19 #BrainTumorDetection

Scientists at DGIST (Daegu Gyeongbuk Institute of Science and Technology) and Korea Research Institute of Bioscience and Biotechnology (KRIBB) developed a device that can wirelessly measure #brain neural signals in a natural state, providing a tool for treatment research in diseases such as Parkinson's and Alzheimer's. https://lnkd.in/gN4XnZ-T #brainresearch #neurology #neuroscience #biotech

What if we could watch the brain's intricate dance of neurons in real-time? Researchers have developed a groundbreaking translucent skull implant for mice that opens new vistas into brain activity. This innovation promises to revolutionize our understanding of the brain, potentially leading to breakthroughs in treating neurological disorders. The implant, made of a special material that maintains transparency and durability, allows scientists to observe and record brain activity without invasive procedures. The implications for both fundamental neuroscience and clinical applications are profound. Key Takeaways: 1. Real-Time Observation: The translucent skull implant enables continuous, non-invasive monitoring of brain activity, offering unprecedented insights into neural dynamics. 2. Material Innovation: The implant's unique material ensures long-term transparency and compatibility with the brain's natural environment, making it a durable tool for extended studies. 3. Clinical Potential: This technology could pave the way for advanced treatments for neurological disorders by providing a clearer understanding of brain function and disease progression. --- Interested in #DeepTech? Follow me as I explore emerging sciences & technologies. #DeepTech #Neuroscience #BrainResearch #Innovation #emergingtechnologies #VC #VentureCapital #TechForGood #FutureOfScience #StartUp #Neurotech #MedTech #science

Check out this groundbreaking AI-driven 3D brain tissue map from Harvard and Google in this HPCwire article. Witness how this collaboration is reshaping neuroscience, revealing the brain's mysteries as never before. https://bit.ly/4bS5s0r #LifeSciences #GigaIO #HPCwire

Generative AI is reshaping neuroscience research by making brain imaging data more accessible. The Indian Institute of Technology, Madras is pioneering this transformation, leveraging multimodal LLMs and visual question answering (VQA) to explore the human brain at a cellular level. Using a multimodal retrieval-augmented generation (RAG) framework, researchers can connect brain imaging data with the latest neuroscience publications. This enables: Visual question answering for understanding brain regions and conditions. Image-to-image retrieval for comparing tissue samples. Enhanced insights into brain structure and function. Powered by NVIDIA technologies like NeMo, NIM microservices, and AI Blueprints, the framework achieves faster, more accurate data retrieval and filtering, enabling researchers to unlock life-saving discoveries. Learn more on our tech blog ?? https://nvda.ws/3AUZTBo #GenerativeAI #Neuroscience #MultimodalAI #LLMs #DigitalHealth

Researchers from Harvard University in collaboration with Google Research have created the largest 3D reconstruction of human #brain tissue at synaptic resolution, capturing detailed images of a cubic millimetre of human temporal cortex. Read more here https://buff.ly/3ygjgDh #neuroscience

?? ???????????????????? ??????????????????????: Unlocking Brain Mysteries ?? ?? Innovative Imaging: From CTs to MRIs, imaging techniques are continuously evolving to provide clearer brain insights and detect concussions with greater accuracy! ?? Biomarker Breakthroughs: The hunt for specific biomarkers in blood or cerebrospinal fluid is promising for objective and rapid concussion diagnosis. Exciting times ahead! ?? AI & Machine Learning: These technologies are revolutionizing concussion diagnostics by analyzing complex datasets to identify subtle patterns and improve diagnostic precision. ?? Neurocognitive Testing: Advanced cognitive tests are a staple in diagnosing concussions, offering critical insights into brain function disruptions post-injury. For in-depth, up-to-date reviews of biomedical literature, explore https://www.sciqst.com and elevate your research game today! #ConcussionResearch #Neuroscience #MedicalInnovation #BrainHealth

I have posted a bunch of NVIDIA's AI drug discovery applications but we are also working on LLMs that help with multi-modal literature review. Check out this technical blog with work done in colab with Indian Institute of Technology, Madras that highlights a multimodal LLM that can do visual question answering using neuroscience images ?? https://lnkd.in/gW8hNwtk

This Thursday, I had the opportunity to attend the Brains and Machines symposium hosted by Wu Tsai Neurosciences Institute at Stanford University! A highlight was a talk by Mackenzie Mathis, PhD on adaptive intelligence. In her presentation, Dr. Mathis explained how her team studied the interaction between the brain and body in generating movement and adapting to new sensory input. A key discovery was how neurons in the sensorimotor cortex exhibit prediction errors during learning, revealing how the brain actively learns from its mistakes! This feedback loop allows the brain to continuously refine and improve motor control and understanding this process is crucial for the development of adaptive AI algorithms. What's even more intriguing is that AI could adapt much faster than humans! I started thinking about how this ability could lead to amazing breakthroughs in high stakes environments such as surgery, where adaptive AI could help robotic systems, in real time, analyze a patient’s unique anatomy adapt to unexpected situations. Over time, the AI would learn from each procedure and provide real-time suggestions to assist surgeons, making surgeries more efficient. Additionally, another speaker, Dr. Ajamete Kaykas, spoke about how his company developed a platform for modeling neurological diseases such as ALS, which is especially important because of the complexity and low possibility of success of neuroscience drug discovery. I was especially excited when they mentioned using STRING, a tool I used in my bioinformatics course! This talk reinforced my interest in pharmacogenomics and personalized medicine. I am grateful to the Wu Tsai Neurosciences Institute for making this event free and open to the public. It was inspiring to connect with a diverse group of professionals, including doctors, AI consultants, and researchers. This experience deepened my understanding of the interconnectedness of AI and neuroscience, and I’m excited about the future of this evolving field. I can’t wait to contribute to innovative research and look forward to returning next year! #neuroscience #AI #bioinformatics #Stanford