Neurodegenerative Disease

Computational model uses biomarkers to predict Alzheimer’s progression

April 4, 2024 - Researchers from Duke University School of Medicine and Pennsylvania State University have demonstrated that a personalized model using individual biomarker data can accurately forecast Alzheimer's disease progression. The tool, known as the Alzheimer’s Disease Biomarker Cascade (ADBC) model, is a computational model designed to leverage...


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Machine Learning Models Predict Mortality Among Dementia Patients

by Shania Kennedy

Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this week in...

Deep Learning Model Accurately Detects, Predicts Alzheimer’s Disease

by Shania Kennedy

A research team from West Virginia University (WVU) has developed a deep learning model capable of detecting and predicting Alzheimer's disease using metabolic biomarkers. The researchers sought...

Predictive Model Accurately Tracks Alzheimer’s Disease Progression

by Shania Kennedy

Researchers from the University of Texas at Arlington (UTA) have developed a model to predict how a patient’s Alzheimer's will progress over time, according to a study published recently in...

University of Massachusetts DL Model to Predict Alzheimer’s Onset

by Shania Kennedy

Researchers from the University of Massachusetts (UMass) Amherst have received a two-year, $278,118 grant from the National Institutes of Health (NIH) to build deep learning models for the early...

Predictive Models Flag Need for Nursing Home Care in Dementia Patients

by Shania Kennedy

Predictive models using self-report and proxy data can accurately forecast need for nursing home level of care (NHLOC) in community-dwelling older adults with dementia, according to a study published...

Mount Sinai Develops AI Algorithm to Estimate Brain Age Acceleration

by Shania Kennedy

Researchers at Mount Sinai have developed an artificial intelligence (AI) tool that can estimate histopathological brain age, predict age at death, and identify areas of the brain vulnerable to...

NLP May Help Flag SDOH Needs for Alzheimer’s, Dementia Patients

by Shania Kennedy

Researchers have developed a natural language processing (NLP) algorithm to identify social determinants of health (SDOH) for Alzheimer's disease and related dementias (ADRD) patients using...

Personalized Computational Approach Identifies Four Alzheimer’s Subtypes

by Shania Kennedy

Researchers presenting at this year’s Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting demonstrated that a computational model can accurately identify four subtypes of...

Dementia Risk Prediction Models May Have Limited Clinical Utility

by Shania Kennedy

A study published last week in JAMA Network Open demonstrated that four widely used predictive models for estimating ten-year dementia risk have limited clinical value and utility, indicating that more...

ML, NLP Identifies Digital Voice Biomarkers for Alzheimer’s

by Shania Kennedy

Artificial intelligence can help identify subtle changes in a patient’s voice and speech patterns, which may help clinicians diagnose cognitive impairment and Alzheimer’s disease before...

Indiana University Projects to Support Precision Medicine for Alzheimer’s

by Shania Kennedy

Researchers at Indiana University (IU) School of Medicine received a 5-year, $41 million grant from the National Institute on Aging (NIA) to fund a study investigating the pathology of...

How AI, Digital Screening Tools Can Help Flag Early Cognitive Decline

by Shania Kennedy

Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD) present a challenge for clinicians as the disease burden and toll on individuals, caregivers, and health systems rise. Currently, the National Institute of...

AI Tools Predict Alzheimer’s Up to 5 Years Before Diagnosis

by Shania Kennedy

A study published last week in Alzheimer's & Dementia details how researchers from the University of Florida (UF) Health and UF College of Medicine developed artificial intelligence (AI) tools...

Health AI, Biomedical Discovery Projects Win Grant Funding

by Shania Kennedy

DePaul University and Rosalind Franklin University of Science and Medicine have announced funding for three interdisciplinary research projects aimed at leveraging artificial intelligence (AI) to...

MA Collab Funds AI-Based In-Home Care, Aging Pilot Projects

by Shania Kennedy

The Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer’s Disease (MassAITC) at the University of Massachusetts (UMass) Amherst announced $1.7 million in funding for...

Machine Learning Tools Help Predict Alzheimer’s Progression

by Shania Kennedy

A new study published in PLOS ONE leveraged machine learning (ML) models to identify the most accurate means and timelines for anticipating the advancement of Alzheimer’s disease in people who...

Machine Learning Finds New Patterns of Decline in ALS, Alzheimer’s

by Shania Kennedy

Researchers from the Massachusetts Institute of Technology (MIT) have developed a machine-learning (ML) tool capable of identifying new patterns of health decline in neurodegenerative diseases such as...

FL Health System to Use AI to Investigate Effects of COVID-19 on Cognition

by Shania Kennedy

Researchers from the University of Miami Miller School of Medicine are collaborating with medical technology company Qynapse Inc. to research the effects of COVID-19 on vascular contributions to...

Artificial Intelligence Model Detects Parkinson’s From Breathing Patterns

by Shania Kennedy

Researchers have developed an artificial intelligence (AI) model that detects the presence and severity of Parkinson’s disease (PD) using nocturnal breathing patterns, which occur while a patient...