V
主页
Discovering Novel Mechanisms for Alzheimer’s Disease by Machine Learning
发布人
报告简介: We are now in the era of big data, which allows us to answer biomedical questions today that we couldn’t answer before. As a computer scientist, this is the most exciting time in my entire career. In the last ten years, I have been collaborating with neurology, neuroscience, genetics, and imaging experts to understand the pathophysiological mechanism of Alzheimer’s disease (AD) and how AD-related genes affect aging brains. Specifically, my lab is interested in establishing a neurobiological basis to quantify the structural/functional/behavioral difference across individuals and discover reliable and putative biomarkers that will allow us to come up with personalized therapy and treatment for individuals. In this talk, I would like to share my experience of integrating the domain knowledge of neuroscience into the development of imaging-AI based computational tools for automated image analysis, image interpretation, and outcome prediction, with a focus on imaging biomarkers and the computer-assisted early diagnostic engine for AD. At the end of this talk, I will demonstrate the preliminary results of recent research projects where we aim to understand the propagation mechanisms of tau aggregates. 国际科技信息中心是致力于打造数据与知识双轮驱动的认知智能平台,涵盖基础设施、科技文献、科技数据、科技情报、高端智库和智能服务等体系。 SCITIC论坛由国际科技信息中心倾力打造,围绕深圳“20+8”产业集群相关方向与研究领域,邀请国内外青年学者、科研与产业界专家进行技术前沿与产业趋势内容分享,旨在通过前沿领域输出和观点思辨来探讨各领域的未来发展以及互相之间的交叉与融合。
打开封面
下载高清视频
观看高清视频
视频下载器
Understanding & Generating Natural (Human + Biological) Language and Beyond
AAAI 2023预讲会:Evaluating Model-free Reinforcement Learning toward Safet
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature
AAAI 2023预讲会Data-Efficient Image Quality Assessment with Attention-Panel Decoder
国际科技信息中心SCITIC论坛:数字虚拟人:元宇宙媒介的核心入口
AAAI 2023预讲会:Adversarial Alignment for Source Free Object Detection
【SCITIC论坛】AAAI 2023预讲会上午场
AAAI 2023预讲会:Visually Grounded Commonsense Knowledge Acquisition
浅谈纳米生物医学与人工智能结合在癌症精准检测中的应用
国际科技信息中心SCITIC论坛:以科幻和现实的双重视角仰视《流浪地球》
【国际科技信息中心SCITIC论坛】panel:探索医学研究的未来
AAAI 2023预讲会:What Does Your Face Sound Like?3D Face Shape Towards Voice
【SCITIC论坛】AAAI 2023 预讲会下午场
国际科技信息中心SCITIC论坛:AIGC时代的创作者实践
国际科技信息中心SCITIC论坛:青少年与AI的共创
【国际科技信息中心SCITIC论坛】面向分子系统的图神经网络模型设计
国际科技信息中心SCITIC论坛-勇毅前行 开放共享——走好铝空电池的绿色双碳之路
国际科技信息中心SCITIC论坛-探索绿色双碳之路
国际科技信息中心SCITIC论坛:Panel: 数字化创意探索
国际科技信息中心-Panel
国际科技信息中心-石墨烯在固态储氢材料中的应用
[AI视频]验光看到的小屋,让AI走过去看看里面有什么
基于图数据的鲁棒机器学习
当人工智能遇到时空数据:概念、方法和应用
【AI TIME Debate 38】论道AIGC:如何看待用于内容生成的永动机?
【PhD Debate-15】因果推理(Causal Inference)与时间序列(Time Series)
谷歌研究员NanDing博士开讲:CausalLM is not optimal for in-context learning
【AI TIME-14】论道科技与女性-朱小燕、杨尔弘、杨红霞、徐剑军
视频已失效
【AI TIME Prof Talk-1】Open BMB大模型系统-刘知远
GLM大模型技术前沿与应用探索 世界人工智能大会2023
STDU|天璇队|地平线智慧医疗创意组vlog
【AI TIME PhD Debate-4】多模态学习的机遇与挑战
人工智能在药物研发中的应用
多模态大模型—袁粒 张敏 洪文逸 陈俊松 李博 杨靖康 孙鑫宇【大模型嘉年华0104下午】
2022AAAI专场三
【AI TIME PhD】不止于准确性:使用CheckList为NLP模型的进行行为测试-吴彤霜
【AI TIME】快开门,我是哆啦A梦呀!
【AI TIME PhD EMNLP-5】嘉宾:王晓智、孙泽群、裴嘉欣
【AI TIME PhD Debate-14】将科幻照进现实——元宇宙数字人的当下与未来