Honored to present two podium abstracts at AMIA this time: "Cross-Modal Retrieval for Alzheimer's Disease Diagnosis Using CLIP-Enhanced Dual Deep Hashing," which leverages CLIP alignment for improved cross-modal (any two modalities) retrieval; and "Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction," which uses diffusion models to predict the trajectory of cortical thickness change over time. More exciting news was that our collaborative paper with Prof. Ninghao Liu and PhD student Yucheng Shi from UGA, titled "MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering," received the Distinguished Paper Award. Link to the papers over here: https://lnkd.in/eRe6X5NH https://lnkd.in/eEb_j68p
Xiang Li’s Post
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'The' publication of my PhD is now out - it shows that impairments in a specific type of navigation behaviour might be one of the earliest diagnostic signals for Alzheimer's disease, even before memory loss. ⛵ This form of navigation - known as path integration - is a common species-wide behaviour and is akin to "dead-reckoning" used historically by mariners to navigate oceans 👓 We used virtual reality headsets to test this, which in another recent publication from my time with Hugo Spiers was found reflective of real-life navigation: https://lnkd.in/eutGjEE7 ♀ ♂ The results were gender-specific, highlighting the need for personalised diagnostics 🔍 Look out for two more publications in the works with Dennis Chan and P. John Clarkson where we investigate how to translate this proof-of-concept research into usable, scalable, and culture-fair clinical tools, in part through my ongoing Schmidt Science Fellows research 📖 Read more in press releases and news coverage here https://lnkd.in/ejSTfA-V https://lnkd.in/etr_Sm3Z https://lnkd.in/epjdnhvb UCL University of Cambridge Alzheimer's Society
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Real scientists. Real science.
GMH Chief Medical Scientist Prof. Talma Hendler was on the stage at the Real-Time Functional Imaging and Neurofeedback meeting | rtFIN 2024 in Heidelberg, Germany together with scientists from around the world. Prof Hendler shared insights on how scientific findings were translated into an FDA-cleared self-neuromodulation device for treating PTSD. Curious about Prism's journey from the research lab to treating patients in the clinic? Learn more here: https://lnkd.in/dGxV2hRy Rani Cohen | Oded Kraft
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🌟 Don’t miss the #EFIC2025 plenary lecture by Marco Loggia on "Role of neuroinflammation in chronic pain: Insight from patient neuroimaging data (PET)". Marco, an Associate Professor at Harvard Medical School, explores the neural and neuroinflammatory mechanisms of pain using advanced imaging techniques. 📅 Find out more and register for the largest international scientific pain congress in 2025 via this link https://lnkd.in/dU4R8TfC!
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🎉 Exciting News! 🎉 I'm thrilled to share that our research paper, "Enhancing Liver Cirrhosis Diagnosis: A Comparative Analysis of XGBoost, SVM, and Random Forest Classifiers for Optimal Predictive Analysis," has been accepted at the prestigious 4th International Conference on Computational Methods in Science and Technology (ICCMST) 2024! Cirrhosis of the liver, an irreversible liver disease, replaces healthy tissue with scar tissue and impairs liver function. Drawing data from a long-term Mayo Clinic investigation on primary biliary cirrhosis, our study evaluates the efficacy of XGBoost, SVM, and RandomForest classifiers. This breakthrough research underscores the critical significance of selecting the appropriate predictive model in medical prognosis. These findings not only advance healthcare analytics but also offer essential guidance for refining predictive models, ultimately leading to improved health outcomes. 🌟 I had the wonderful opportunity to present our findings and insights at the conference on 2nd May 2024. It was an enriching experience to share our work with esteemed faculties, and overall, it was truly remarkable. I extend my heartfelt thanks to my dedicated teammate, AVNI GUPTA, and my mentor, Dr. Sanchali Das Ma'am, for their invaluable support and guidance throughout this research journey. Looking forward to more research opportunities and contributing further to the field! 🚀 #Research #DataScience #MachineLearning #ICCMST2024
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Can LLM respond to you in the way you want? Our answer is yes! We are excited to announce that our paper titled "LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination" has been accepted as a main paper by NAACL 2024! 📣📣📣 In this work, we propose a novel memory mechanism that categorizes user-specific information into two styles: short-term and long-term memory. This approach is inspired by memory mechanisms found in neuroscience. By incorporating these two levels of memory, along with LoRA fine-tuning, LLM can provide personalized suggestions for patients, taking into account their long-term diseases and short-term symptoms. Meet you in Mexico City! Paper Link: https://lnkd.in/exeZ5n6y Implementation: https://lnkd.in/e8-fUcJg #NAACL2024
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Reviewers of this Reviewed Preprint on ageing and senescence changed their assessment of the evidence from “incomplete” to “compelling” following the latest revisions by authors. Take a look at the reviews and version histories below.
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Reviewers of this Reviewed Preprint on ageing and senescence changed their assessment of the evidence from “incomplete” to “compelling” following the latest revisions by authors. Take a look at the reviews and version histories below.
A concerted increase in readthrough and intron retention drives transposon expression during aging and senescence
elifesciences.org
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🌟Dive into the heart of #EIBIR with our Scientific Director, Prof. Regina Beets-Tan, MD, PhD! 🎬 Watch as she shares our mission, goals, and vision for the future in this insightful video. Discover how we're shaping the future of biomedical imaging together 🤝
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Dear colleagues & friends - I'm excited to share our new publication, 'Transitioning biomedical research towards human-centric methodologies: systems-based strategies'. In this article, my co-authors Francesca Pistollato and Troy Seidle, and I, explore how a systems thinking approach can drive policy changes to encourage the adoption of new, human-relevant research methods. We propose that collaborative, data-driven policy-making based on systems thinking has the potential to unlock the full power of human-centric approaches in addressing major public health challenges. Learn more: https://lnkd.in/exbNcpCY biomed21.org #biomedicalresearch #nonanimalmethods #NAMs #policyreform #researchreform #publichealth #healthpolicy
Paper just published Transitioning biomedical research towards human-centric methodologies
https://biomed21.org
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🔬✨ Breaking News: Scientists Unveil a Completely New Set of Blood Groups! 🅰️🅱️🆎🅾️ Prepare to be amazed by the latest groundbreaking discovery featured on The Quantified World. Scientists have revealed a revolutionary finding: a completely new set of blood groups that challenges our current understanding of human blood types. In this captivating article, we delve into the details of this remarkable breakthrough, exploring the implications for healthcare, transfusion medicine, and beyond. Join us as we unravel the mysteries of these newly identified blood groups and their potential impact on medical research and practice. Read the full article here to uncover the fascinating world of blood group discovery: Link to the article - https://lnkd.in/dzm3j-UJ Join the conversation and share your thoughts on this groundbreaking discovery. Let's celebrate the ingenuity of scientists and the endless possibilities of scientific exploration! #BloodGroups #MedicalResearch #ScientificDiscovery #TheQuantifiedWorld
Groundbreaking Discovery: Scientists Unveil a Completely New Set of Blood Groups
medium.com
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Federated Learning
1motypo ? professor Liu and Ph.D student has the same name?