智能生物标志物增强药物开发能力
研究人员的目标是通过尖端技术加快针对脑部疾病的药物。他们正在基于人类神经元的高密度微电极阵列和3D网络生成创新的技术平台。
研究人员开发了一种预测性人工智能模型,可以分辨出健康的患者,患有肺炎的患者和从胸部X射线造成Covid-19的患者之间的差异。
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
基于深度学习的技术可用于消除人类组织技术学家准备的特殊污渍的需求。
由涉及UCL的国际团队设计的人工神经网络可以从大脑活动中转换原始数据,为新发现铺平道路,并在技术与大脑之间进行更紧密的整合。
华盛顿大学医学院的一组研究人员开发了一种深度学习模型,该模型能够使用单个3D MRI扫描将脑肿瘤分类为六种常见类型之一。
Scientists have leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
For the first time, researchers incorporated stretchable tactile sensors using liquid metal on the fingertips of a prosthetic hand.
Researchers are taking steps to incorporate actual muscles or neurons into a robotic system.
Using fluoresence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses.
研究人员发现,AI模型倾向于寻找快捷方式。在AI辅助疾病检测的情况下,如果部署在临床环境中,这些捷径可能会导致诊断错误。
Researchers use AI to teach robots to make appropriate reactive human facial expressions, an ability that could build trust between humans and their robotic co-workers and care-givers.
模拟大脑生物学的神经网络可以加载到微芯片上,以更快,更有效的人工智能。
Researchers develop signals that could bring color vision and improved clarity to prosthesis for the blind.
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
创建类似人的AI不仅仅是模仿人类的行为 - 如果要完全依靠它,技术还必须能够处理信息或“思考”。
许多患者使用他们的吸入器和胰岛素笔错误。研究人员已经开发了一种系统来减少某些类型的药物的这些数字。
一种称为张量全息图的新方法可以使虚拟现实,3D打印,医学成像等的全息图创建,并且可以在智能手机上运行。新利18官方
Researchers have evaluated whether data derived solely from these wristbands could accurately predict various types of seizures in pediatric patients.
研究人员成功地使AI理解了我们对面孔有吸引力的主观观念。
Fraunhofer Institutes项目M³Infekt旨在开发一种多模式,模块化和移动系统,以监测传染病。
AIis helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Researchers have developed advanced explainable AI in a technical tour de force to decipher regulatory instructions encoded in DNA.
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
机器学习系统学习工作。通过不断适应新的数据输入,这种“液体网络”可以帮助医学诊断中的决策。
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Researchers have developed a new photonic processor that could revolutionize artificial intelligence.
The project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".
在机器人技术,机器学习和基于物理的模拟交集的专家分享计算机仿真如何加速“智能机器人”的开发,而这些“智能机器人”的发展“可能与人类互动”
A device could help scientists better understand the health benefits of outdoor lighting and lead to wearables that could nudge users to get more outdoor time.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
AI不仅提供了更好地检测肿瘤,皮肤病变或其他迹象的可能性,而且还可以提高放射科医生的准确性和效率。
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
研究人员创建了人工智能算法,该算法可以根据电子健康记录中的临床注释中的信息自动识别出有意自我伤害的高风险的患者。
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
AIexperts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers have developed a wireless, private way to monitor a person’s sleep postures using reflected radio signals from a small device mounted on a bedroom wall.
科学家开发了一个AI系统,该系统通过将皮肤样电子与计算机视觉结合在一起来识别手势。
Scientists have developed a sensory integrated artificial brain system that mimics biological neural networks, which can run on a power-efficient neuromorphic processor.
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
Scientists have proposed the concept of a memristive neurohybrid chip to be used in compact biosensors and neuroprostheses.
研究人员已经开发了一种系统,该系统将基于人造的芯片的“神经元”与真实的神经元整合在一起,使用QR代码样光模式来促进通信。
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Researchers have developed a personalized therapeutic concept that significantly reduces the chances of a patient suffering post-operative complications.
An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.
Scientists have developed an innovative new technique that uses artificial intelligence to better define the different sections of the brain in newborns during a magnetic resonance imaging (MRI) exam.
由机器学习提供动力的便携式监视装置可以实时检测咳嗽和人群大小,然后分析数据以直接监测流感样疾病的趋势。
Researchers develop an AI system that effectively evaluates endoscopic mucosal findings from patients with ulcerative colitis without the need for biopsy collection.
AI技术与专家放射科医生的评估相结合,提高了使用乳房X线照片检测癌症的准确性。
AI模型确定了一种强大的新药,可以杀死许多抗生素耐药菌。
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
研究人员使用机器学习来开发快速测试,该测试只需要一滴血液即可诊断哮喘。
Researchers have discovered that a population of neurons in the brain’s frontal lobe contain stable short-term memory information within dynamically-changing neural activity.
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
研究人员表明,深度学习算法在对患有急性髓样白血病患者的血液样本进行分类时,类似于人类专家。
Researchers have devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting.
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
结合新的可穿戴电子产品和深度学习算法可以帮助残疾人无线与计算机无线互动。
当AI工具与放射科医生的分析结合使用时,乳腺癌的精度约为90%。
一个研究团队成功地识别了电脑图(EEG)中的特定模式分析,深度学习网络用于做出预后决策。
科学家已经确定了人脑中的机制,这些机制可以帮助解释我们从机器人和虚拟试剂中获得的令人不安的感觉,这些感觉太像人类。
Wearing a sensor-packed glove while handling a variety of objects, researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone.
使用AI,研究人员成功地对任何生物体的蛋白质进行了质量分析,明显快于以前,几乎没有错误。
Pairing a smartphone to capture retinal images with an AI may offer a solution for better screening for diabetic retinopathy.
UC旧金山神经科学家创建的最先进的脑机界面可以通过使用大脑活动来控制虚拟声道 - 一种解剖学上详细的计算机模拟,包括嘴唇,嘴巴,舌头和乳液,可以产生自然听起来的合成语音。
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
科学家开发了一种新工具,可以快速且负担得起的儿童筛查胎儿酒精谱系障碍(FASD)。
研究人员开发了一个新的AI驱动平台,可以分析病原体如何以训练有素的生物学家的精确度感染我们的细胞。
根据RSNA的一项研究,研究人员正在使用人工智能来减少MRI检查后可能留在体内的对比剂的剂量。
Engineers use deep learning to decode the conversation between brain and arm, by analyzing electrical patterns in the motor control areas of the brain.
Phantom limb pain is a poorly understood phenomenon, but a new theory for the origin of the mysterious phenomenon points to a more effective treatment.
Researchers from the University of Toronto use machine learning to create computer generated X-rays that augment AI training sets, which could improve the speed and accuracy of medical diagnostics.
该系统可以在监视Indivual pourtients的health and hmelp的同时识别模式,以解除在Agunst he休的杂物和肺部和肺部的疾病。
研究人员正在使用生成的对抗网络来改善残疾人的脑部计算机界面。
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.