A Multi-Modal Remote Monitoring Platform for Frontotemporal Lobar Degeneration Syndromes
额颞叶变性综合征的多模式远程监测平台
基本信息
- 批准号:10597923
- 负责人:
- 金额:$ 125万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-30 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:Activities of Daily LivingAffectAlgorithmsAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAmyotrophic Lateral SclerosisAnxietyArchitectureAttitudeAwardBasal GangliaBiological MarkersCaringCessation of lifeClinicClinical ResearchClinical TrialsCognitionCognitiveCollaborationsCollectionCustomDataData CollectionData SecurityDementiaDementia with Lewy BodiesDepositionDevelopmentDiseaseDisease OutcomeDisease ProgressionDysarthriaFDA approvedFeedbackFrontotemporal DementiaFrontotemporal Lobar DegenerationsFundingFutureGaitGeneral HospitalsGovernmentGrantHealth TechnologyHomeIndividualInterviewLegal patentMassachusettsMeasurementMeasuresMedical RecordsModelingMonitorMotorMovementMulticenter StudiesMultiple System AtrophyMyotonic DystrophyNeckNeurodegenerative DisordersOnline SystemsOutcomeOutcome MeasureParkinson DiseaseParticipantPathologicPatient Outcomes AssessmentsPatientsPerceptionPersonsPharmacologic SubstancePhasePhysical activityPhysical assessmentPilot ProjectsPostureProgressive Supranuclear PalsyProtocols documentationPsychomotor PerformanceQuality of lifeRecommendationResearchResearch DesignRiskSeverity of illnessSmall Business Innovation Research GrantSmall Business Technology Transfer ResearchSpeechStrokeSymptomsSyndromeSystemSystems DevelopmentTabletsTauopathiesTechnologyTestingTherapeutic EffectTherapeutic InterventionTimeLineTrustUnited States National Institutes of HealthUniversitiesVendorbasecognitive functioncognitive testingcomputerizedcorticobasal syndromedata accessdigitaldisabilityeffective therapyequilibration disorderfall riskfallsimprovedinstrumentmHealthmachine learning algorithmmotor symptommultimodalitynervous system disordernovel therapeuticsprimary outcomerecruitremote monitoringsensortau Proteinstau mutationtoolvirtual visitwearable sensor technology
项目摘要
Project Summary/Abstract
Frontotemporal lobar degeneration (FTLD) syndromes span the spectrum of neurodegenerative disorders
affecting movement and cognitive function and are pathologically related to Alzheimer's disease. In this project,
we will develop a robust multi-modal platform for remote monitoring of motor symptoms, speech and cognitive
function in FTLD syndromes using wearable sensors and digitized tests. We will validate this solution in
Progressive Supranuclear Palsy (PSP) by collecting longitudinal data from 60 PSP patients over a period of 12
months. PSP is a severe and rapidly progressive FTLD syndrome that lacks effective treatment and leads to
rapid onset of dementia, disability and death. The rapid progression of PSP will allow us to validate the solution
within the timeline of this Direct Phase II SBIR project and facilitate future studies in FTLD syndromes.
In this Direct Phase II project, we will recruit 60 participants with PSP from 2 leading CurePSP Centers of Care.
These participants will be monitored for 12 months. The sensor data will be collected using PAMSys, a wearable
sensor developed by the support from a NIH STTR grant award. PAMSys is patented (U.S. Patents # 8,206,325,
9,005,141, and 9,901,209), validated and commercialized by BioSensics. The digitized tests will be collected
using BioDigit Home, a unified solution for the collection of digital biomarkers that is currently being used in
several NIH-funded studies and pharma-sponsored clinical trials in neurological disorders. BioSensics has
already customized its BioDigit Home solution to monitor motor, speech and cognitive functions in PSP, and has
carried out a pilot study with 7 PSP patients, who were monitored for up to 3 months using the developed system.
We will collect data from 60 PSP patients in this aim to develop a set of algorithms for monitoring motor, speech
and cognitive function that will enable objective assessment of PSP disease severity and progression, thereby
creating a multi-modal remote monitoring solution for PSP. These tools will accelerate clinical trials that are
focused on the development of novel therapeutics for tauopathies (i.e., FTD, PSP CBS) and can be readily
adapted to many neurodegenerative diseases, including Parkinson's disease, multiple system atrophy,
amyotrophic lateral sclerosis, myotonic dystrophy and stroke.
BioSensics is a 2020 Tibbetts Award winner with a proven track record of rapidly transitioning applied
governmental research funding into real commercial results. The initial market for our technology is
pharmaceutical clinical trials, where BioSensics is a vendor of record of medical-grade wearable sensors and
digital clinical trial technologies for multiple pharmaceutical companies. The current project will significantly
broaden BioSensics' offerings to pharmaceutical companies, specifically by providing a solution for digital
assessments of speech, motor and cognition function, which are relevant to many diseases. This commercial
potential is fully aligned with the latest recommendations from the FDA, NSF and NIH to digitize clinical trials.
项目摘要/摘要
额颞叶变性(FTLD)综合征跨越神经退行性疾病的范围
影响运动和认知功能,在病理上与阿尔茨海默病有关。在这个项目中,
我们将开发一个强大的多模式平台,用于远程监测运动症状、言语和认知
使用可穿戴传感器和数字化测试在FTLD综合征中发挥作用。我们将在以下位置验证此解决方案
60例进行性核上性麻痹(PSP)患者12年间纵向资料的收集
月份。PSP是一种严重且进展迅速的FTLD综合征,缺乏有效的治疗方法,并导致
迅速发病的痴呆症、残疾和死亡。PSP的快速发展将使我们能够验证该解决方案
在这个直接的第二阶段SBIR项目的时间表内,并促进未来对FTLD综合征的研究。
在这个直接二期项目中,我们将从两个领先的CurePSP护理中心招募60名PSP参与者。
这些参与者将接受为期12个月的监测。传感器数据将使用可穿戴设备PAMSys收集
传感器开发的支持下,从美国国立卫生研究院科学技术研究院授予奖。PAMSys获得专利(美国专利编号8,206,325,
9,005,141和9,901,209),由BioSensics验证和商业化。数字化测试将被收集
使用BioDigit Home,这是一种用于收集数字生物标记的统一解决方案,目前正在
美国国立卫生研究院资助的几项研究和药物赞助的神经疾病临床试验。BioSensics已经
已经定制了BioDigit Home解决方案来监控PSP的运动、语音和认知功能,并拥有
对7名PSP患者进行了一项初步研究,使用开发的系统对他们进行了长达3个月的监测。
我们将收集60名PSP患者的数据,以此为目标开发一套监测运动、言语的算法
和认知功能,从而能够客观评估PSP疾病的严重程度和进展
为PSP打造多模式远程监控解决方案。这些工具将加速临床试验,这些试验
专注于开发治疗紧张症的新疗法(即FTD,PSP CBS),并可以很容易地
适应许多神经退行性疾病,包括帕金森氏病,多系统萎缩,
肌萎缩侧索硬化症、强直性肌营养不良和中风。
BioSensics是2020年Tibbetts奖获得者,应用了经过验证的快速过渡记录
将政府研究经费转化为真正的商业成果。我们技术的初始市场是
制药临床试验,其中BioSensics是医用级可穿戴传感器和
为多家制药公司提供数字化临床试验技术。当前的项目将显著地
扩大BioSensics向制药公司提供的产品范围,特别是通过提供数字解决方案
对语言、运动和认知功能的评估,这与许多疾病有关。这则广告
潜力与FDA、NSF和NIH关于临床试验数字化的最新建议完全一致。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Alexander Y. Pantelyat其他文献
The effects of personally preferred music on mood and behaviour in individuals with dementia: An exploratory pilot study
个人喜欢的音乐对痴呆症患者情绪和行为的影响:一项探索性试点研究
- DOI:
10.56883/aijmt.2024.78 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Stephanie Cairo;K. Kang;Patricia Izbicki;Molly Isinghood;Tabassum Majid;Alexander Y. Pantelyat - 通讯作者:
Alexander Y. Pantelyat
Impact of Magnetic Resonance Imaging Markers on the Diagnostic Performance of the International Parkinson and Movement Disorder Society Multiple System Atrophy Criteria.
磁共振成像标记对国际帕金森和运动障碍协会多系统萎缩标准诊断性能的影响。
- DOI:
10.1002/mds.29879 - 发表时间:
2024 - 期刊:
- 影响因子:8.6
- 作者:
Ida Jensen;Johanne Heine;Viktoria C Ruf;Y. Compta;Laura Molina Porcel;C. Troakes;Albert Vamanu;Sophia Downes;David Irwin;Jesse Cohen;Edward B Lee;Christer Nilsson;Elisabet Englund;Mojtaba Nemati;S. Katzdobler;J. Levin;Alexander Y. Pantelyat;J. Seemiller;Stephen L Berger;J. V. van Swieten;E. Dopper;Annemieke Rozenmuller;Gabor G Kovacs;Nathaniel Bendahan;Anthony E. Lang;Jochen Herms;Günter U. Höglinger;Franziska Hopfner - 通讯作者:
Franziska Hopfner
Alexander Y. Pantelyat的其他文献
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{{ truncateString('Alexander Y. Pantelyat', 18)}}的其他基金
A Multi-Modal Remote Monitoring Platform for Frontotemporal Lobar Degeneration Syndromes
额颞叶变性综合征的多模式远程监测平台
- 批准号:
10707379 - 财政年份:2022
- 资助金额:
$ 125万 - 项目类别:
Multi-modal magnetic resonance imaging in progressive supranuclear palsy (PSP)
进行性核上性麻痹 (PSP) 的多模态磁共振成像
- 批准号:
10408127 - 财政年份:2018
- 资助金额:
$ 125万 - 项目类别:
Multi-modal magnetic resonance imaging in progressive supranuclear palsy (PSP)
进行性核上性麻痹 (PSP) 的多模态磁共振成像
- 批准号:
10183124 - 财政年份:2018
- 资助金额:
$ 125万 - 项目类别:
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