Awardees
166 pilot projects funded across 5 cohorts, at the three AI/Tech Collaboratories for Aging Research.
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Showing all 166 awardees
Developing a machine learning–driven decision support algorithm using passive, wearable sensor data to identify heart failure exacerbations and response to treatment
Developing an AI tool that recommends appropriate local resources to support older adults aging in place
Developing an AI-based conversational agent to support the mental well-being of AD/ADRD informal caregivers
Developing an AI-driven public health surveillance tool to identify individuals with a high risk of undiagnosed dementia
Developing an infrastructure platform to translate predictive AI models for aging into deployable healthcare software that enables proactive, values-based care
Developing an innovative, AI-powered mobile tool to enable at-home hearing screening for older adults with mild cognitive impairment
Developing and validating a multimodal machine learning model for early detection of MCI among older adults
Developing and validating machine learning models to detect early-stage neurological and psychiatric disorder biomarkers and improve diagnostic accuracy
Developing deep learning models to accurately and fairly predict hospital readmission among older adults
Identifying barriers to adoption and refining an AI-powered speech recognition system to support individuals with severe dysarthria
Identifying novel targets for AD/ADRD treatment by leveraging machine learning to distinguish senescent cell subtypes
Identifying transcriptional regulators in Alzheimer's disease that serve as druggable targets and developing predictive cognitive impairment models using snRNA-seq
Implementing trustworthy generative AI in the development of clinical chatbots to answer AD/ADRD patient questions and reduce genetic counselor time when conducting APOE genetic testing
Integrating a voice-controlled AI assistant to support symptom tracking in a miniaturized in-ear wearable that monitors cerebral blood flow in adults with AD/ADRD
Leveraging a pre-trained foundational AI model to integrate prior knowledge to identify genetic risk factors for AD/ADRD
Leveraging AI to develop a sleep-promoting device that improves slow-wave sleep in patients with AD
Leveraging AI to support older adults in appealing health insurance claim denials
Leveraging an LLM-based facilitation bot to enhance peer-to-peer support among informal caregivers of people with AD/ADRD
Leveraging digital cognitive assessment data to develop an AI information fusion model that improves early detection of cognitive decline
Leveraging multimodal LLMs to develop an inclusive and accessible tool that aids older adults when making over-the-counter medication choices
Leveraging novel machine learning approaches to develop a caregiver-guided assistive robot that performs routine tasks for older adults aging in place
Leveraging wearable device data and AI to assist with early detection and continuous tracking of MCI and AD/ADRD
Machine learning–driven real-world gait analysis integrated in shoes to support healthy aging in older adults
Training a foundation model to harmonize neural and immune cellular profiles across AD stages in order to identify biomarkers for early AD/ADRD detection and disease tracking
Using a contactless, AI-enabled mmWave radar system to enable longitudinal and accurate monitoring of arterial stiffness and overall cardiovascular health among older adults
Using a multi-agent generative AI system to support AD/ADRD patients and caregivers in understanding lab results and asking relevant follow-up questions
Using AI-enhanced wearables to facilitate music-supported therapy for home-based upper-limb rehabilitation among older adults with stroke
Using AI-powered, video-based assessments of physical function to detect frailty among older adults living at home
Using AI/ML models to identify mitochondrial genetic and epigenetic markers and to develop a mitochondrial aging clock
Using an adaptable perceptual AI system to provide personalized task assistance for AD/ADRD patients and reduce caregiver burden
Using an AI-powered humanoid social robot and multimodal sensor technology to provide personalized and context-aware assistance to AD/ADRD patients
Using NLP and LLMs to scale an evidence-based cognitive behavioral intervention for AD/ADRD family caregivers
Using wearables and individual-level large movement models to identify biomarkers of neurological disease and musculoskeletal decline in older adults
Utilizing AI to identify geroprotective effects in regularly prescribed medications that may slow or reverse aspects of aging
Utilizing image-based AI technology to monitor AD/ADRD patients' nutrition and provide personalized dietary recommendations to inform care decision-making for staff at adult day centers
AI-driven epigenetic analysis using DNA methylation data and genome-wide histone modification maps to identify biomarkers for aging and AD/ADRD
AI-driven speech and motion analysis using machine learning to detect early AD signs in older adults
AI-enhanced smartphone sonometry using sensor fusion machine learning algorithms to monitor muscle deterioration for older adults
AI-powered chatbot using RAG and DPO to enhance care management and education for dementia care teams in residential settings
AI-powered conversational agent using NLP to enhance emotional well-being and technology acceptance for older adults
Analysis and AI-guided allocation of specialized palliative care for AD/ADRD patients to increase hospital-free days
Assessing frailty and biological age for older adults by analyzing MRI scans using a convolutional neural network model
Assessing the feasibility and acceptability of a robotic assistant in providing daily living support for older adults with early-stage AD/ADRD
Deep learning-based MRI segmentation using AI to improve hydrocephalus diagnosis and decision support for healthcare professionals in hospitals
Integrating novel AI algorithms with a robotic assistive feeding system to restore self-feeding for AD/ADRD patients
Leveraging AI reinorcement learning approaches to deliver just-in-time adaptive interventions on a mobile app for AD/ADRD caregivers
Monitoring vital signs for older adults using an AI-powered biomagnetism wearable
Predicting depression and burden in AD/ADRD caregivers by using machine learning to analyze clinician–caregiver interactions
Using AI and in-shoe sensors to analyze gait patterns of patients with normal pressure hydrocephalus for early detection and diagnosis
Using AI and robotic technologies to enable small molecule repurposing for AD therapeutics targeting amyloid–tau interactions
Using AI-powered digital twins for personalized chronic care coordination and healthy aging for older adults
Using an AI-driven chatbot for personalized cognitive care planning for older adults with AD/ADRD and caregivers in home settings
Using an AI-powered micro-radar system to enhance safety and improve independence for older adults with AD/ADRD and their caregivers
Using computer vision and NLP to improve early detection of cognitive impairment in AD/ADRD patients during clinical encounters
Using digital biomarkers and AI for continuous cognitive assessment and AD/ADRD risk detection in caregivers of persons living with dementia
Using explainable AI and deep learning for brain age prediction in older adults in clinical settings
Using Gaussian process modeling to identify frailty subtypes and personalize care for older adults
Using generative AI to enhance differential diagnosis and assessment of mixed dementias
Using generative and predictive AI for real-time continuous diagnosis of AD/ADRD and adaptive personalized interventions
Using internet-connected sensors and machine learning for passive behavior monitoring and personalized care for older adults with AD/ADRD in home settings
Using LLM-based chatbots for personalized clinical trial education and participation support for older adults with AD/ADRD and caregivers
Using machine learning and computer vision to assess social disconnection and enhance emotional well-being for older adults
Using machine learning and digital imaging to detect skin frailty among older adults living in under-resourced communities
Using machine learning to develop a representative genetic-distance corrected epigenetic clock for understanding disparities in aging and AD/ADRD
Using machine learning to implement personalized EHR test result communication tools for older adults
Using NLP and machine learning to detect adverse drug events for older adults with heart failure in clinical settings
Using quantum electrochemical spectroscopy to predict cognitive decline and AD progression
Web-based cognitive enhancement program using AI to improve cognitive training and assessment for older adults
AI digital twins using multimodal data to predict AD/ADRD and MCI in older adults
AI models of physiological signals to mitigate health risks in older adults receiving healthcare at home
AI-based cloud care platform to improve AD/ADRD outcomes for caregiver-patient dyads
AI-based home cognitive assessment to monitor AD/ADRD-related cognitive changes in older adults
AI-developed multimodal digital biomarkers using portable integrated equipment to characterize individuals with AD/ADRD
AI-enabled personalized training for caregivers of older adults with AD/ADRD
AI-enabled voice agents using machine learning to prevent phishing attacks for older adults at home
AI-enhanced scheduling for a neighborhood model of affordable quality home care
AI-enhanced virtual reality music intervention for AD/ADRD care
AI-enhanced wearable for continuous blood pressure monitoring to improve cardiovascular health in older adults
AI-powered digital dyadic coach using reinforcement learning to promote oral health in older adults
AI-powered digital therapy assistant to monitor and treat cognitive impairment in older adults over the phone
AI-powered point-of-care system for motor function assessment to determine MCI, frailty, and fall risk
AI-powered video app using deep learning to assess motor functions in Parkinson's patients at home
Creating a framework for LLMs to enhance caregiver support in dementia
Detecting cognitive impairment using LLMs from speech
Downloadable blood pressure monitoring smartphone app requiring no external devices for hypertension screening using edge computing and software sensing
Interpretable transformer for AI-based sensing and assessment of chronic pain in long-term care residents with AD/ADRD
Machine learning-enhanced therapeutic music platform for rural-residing older adults at risk for AD/ADRD
Machine learning-powered wearables for adaptive electrical vestibular stimulation balance therapy for older adults at home
Multimodal conversational AI to assist older adults with daily tasks at home
NLP-driven smart automation for patient portal messages for dementia care partners
Objective assessment app utilizing computer vision to evaluate cognitive and motor functioning in older adults at risk for AD/ADRD
Smartphone app using heuristic AI to help caregivers prioritize and manage neuropsychiatric symptoms of AD/ADRD
Smartphone-based fall prevention therapy using computer vision for older adults in the home
Using AI/ML and continuous gait data from environmental sensors to analyze mobility changes associated with AD/ADRD in older adults
Using cognitive and speech AI to characterize and stratify cognitive impairment in older adults
Utilizing mobile behavioral data with machine learning to monitor, diagnose, and track AD/ADRD progression
AI eye-tracking wearable for delirium reduction and older patient engagement
AI-based continuous and passive health monitoring system using mmWave radar to enable caregivers to monitor AD/ADRD progression and tailor care interventions
AI-based device-free Wi-Fi sensing technology to assess daily activities and mobility in low-income older adults with and without cognitive impairment
AI-based diagnostic clinical decision support system using collective intelligence and imitation learning to improve primary care diagnostics for older adults
AI-based EEG music neurofeedback system to improve working memory and mitigate cognitive decline in older adults with AD/ADRD at home
AI-based multimodal sleep staging via wearables to monitor early cognitive decline in older adults at home
AI-based voice analysis, computer vision, and representation learning for AD/ADRD assessment in clinical settings
AI-driven AD/ADRD risk prediction models using explainable machine learning and bias identification and mitigation techniques to aid point-of-care clinical decision support
AI-enhanced virtual caregiver system to decrease risk of falls in older adults and individuals with AD/ADRD
AI-powered robotic exosuits for dementia alleviation in older adults
AI-supported in-home brain assessments using NINscan wearables for older adults and persons with AD/ADRD
Ambient intelligence for non-intrusive assessment of neuropsychiatric symptoms
Development of machine learning models from walking cadence monitoring to assess aging and cognitive health
Digital twin using wearables, digital biomarkers, and social determinants of health with machine learning for individualized cognitive assessments in home and clinical settings
Druid® impairment mobile app using machine learning to assess cognitive and motor performance decline, enabling older adults to drive safely
Home safety monitoring platform using voice, IoT activity monitoring, and machine learning to alert caregivers of falls and other distress-related events in the home
In-home cognitive assessment mobile app using machine learning to predict post-COVID-19 cognitive decline and AD/ADRD risk for older adults
Intelligent cognitive assistant leveraging NLP to provide word retrieval support in daily living for older adults and individuals with AD/ADRD
Intelligent decision-making tool to connect individuals with AD/ADRD and their caregivers to health app technologies
Machine learning-based validated, passive monitoring of agitation in older adults with dementia using wearables
Non-intrusive in-home activities of daily living monitoring using a self-supervised multi-sensor fusion model that detects behavior changes associated with AD/ADRD
Non-invasive AI-powered blood glucose monitoring device for older adults with diabetes
Passive voice monitoring mobile app using NLP and machine learning to detect early signs of chronic obstructive pulmonary disease exacerbation in older adults
Passive wearable sensors using deep learning to create a geriatric functional assessment tool for clinicians
Preparing a technology-ready cohort of individuals with AD/ADRD and their caregivers to pilot test novel digital devices
Radio frequency-based off-body real-time remote monitoring of medication adherence for older adults
Sentiment analysis and generative AI language algorithms to support dementia caregiver interventions in home care environments
Smart patch and intervention system using RFID technology to prevent medical patch overdose among individuals with AD/ADRD
Speech processing-based novel algorithm for proactive, automated screening of African American home healthcare patients at risk for MCI and early dementia
Using machine learning to predict fall risk in older adults
Using novel pressure-sensing insoles to better predict and treat falls in home and clinical settings
Validating an AI-enhanced remote patient monitoring platform for orthostatic vital signs, with the goal of preventing falls in older adults
Validating in-home sleep monitoring devices for older adults with chronic conditions and AD/ADRD
Virtual reality fitness platform to remotely assess cognitive and physical function in older adults and individuals with AD/ADRD
Wearable light exposure spectrometer device using machine learning to determine optimum light exposure inputs to improve sleep quality for older adults and individuals with AD/ADRD
Web-app tool to support technology use decision making for individuals with AD/ADRD and their caregivers
A machine learning-enabled speech-based screening tool for AD/ADRD caregivers
A mobile app to deliver music-based interventions to combat neuropsychiatric symptoms in people living with AD/ADRD
AI algorithm for clinical decision support systems to assess cognitive function and detect probable dementia cases in older emergency department patients
AI chatbot avatars in a dementia-friendly virtual world to help caregivers
AI-augmented analytics to enable patient-centered palliative care for persons with AD/ADRD
AI-based advanced care planning platform to align patients and surrogate decision makers to improve end-of-life care
AI-driven computer vision for fall prediction and detection for older adults with AD/ADRD
AI-driven imaging algorithm and telemedicine platform for near real-time cataract screening and post-operative follow-up
AI-enabled conversation platform to measure mental status and manage psychotropic medication use for older adults
AI-enabled near-field coherent sensing radio sensors to detect respiratory distress for advanced AD/ADRD patients who are unable to self-report
Autonomous robot that uses AI-based facial expression analysis to detect agitation in persons with AD/ADRD
Combining AI-enabled RGBd+ stereo vision and thermal sensors for home monitoring and telehealth
Conversational AI to detect cognitive impairment and dementia in the home
Creating a heat sensor-based algorithm for early detection of frailty in older adults
Developing a deep neural network risk protection model from in-home sensing data to predict adverse events in AD/ADRD populations
Developing a software AI platform utilizing machine learning on EEG data for the early detection of age-related cognitive decline
Developing machine learning-based vocal biomarkers for the detection and monitoring of cognitive impairment
Engineered device to train balance and prevent falls in older adults
Lucidity: an AI-driven technology platform to monitor and predict cognitive fluctuations and lucid intervals in dementia at home
Using a computer vision algorithm to create an ultralow-cost blood pressure monitoring device that can be used with an everyday mobile phone
Using a human-centered approach to design, build, and evaluate conversational care technologies that scaffold meaningful care discussions between older adults and their informal caregivers
Using AI-guided wearable sensors for the real-time data-driven psychopharmacologic management of behavioral and psychologic symptoms of older adults with AD/ADRD
Using home monitoring technologies to detect early acute illness in AD/ADRD
Using in-ear infrasonic hemodynography in everyday earbuds to monitor vascular aging
Using machine learning to create data-driven user personas for the design of usable technologies for older adults
Using NLP to create an AI-based algorithm from EMR data to identify non-traditional caregivers who might benefit from dyadic interventions
Using virtual reality to mitigate social isolation and provide cognitive stimulation
Using wearable sensors to create real-world digital clinical measures for ADRD populations with slow and altered gaits
Using wireless dry-sensor EEG wearables and AI-based neural algorithms to detect early-stage AD/ADRD
Utilizing brain MRI phenotyping, demographic and clinical data, and deep learning to develop individualized risk predictions of cognitive decline
Wearable EEG device designed for older adults that enhances slow-wave sleep utilizing AI-enabled acoustic simulation
Wearable sensors capturing digital autonomic biomarkers to detect empathy loss for frontotemporal dementia (bvFTD)
Wearables and AI microservices API to support AD/ADRD caregivers with real-time monitoring and recommendations
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