Learn about the latest study findings from Linus Health
Visit the Linus Health booth #830 and don't miss all of our sessions listed below.
Saturday, July 27
The electronic Person-Specific Outcome Measure (ePSOM) in the US population: What matters to individuals the most about their brain health
Stina Saunders, PhD
Personalized Medicine Lead, Linus Health
Digital Cognitive Screening and ML-Enabled Random Forest Modeling for the Detection of Cognitive Impairment
Ali Jannati, MD, PhD
Director of Cognitive Science, Linus Health
Sunday, July 28
ORAL PRESENTATION
The electronic Person-Specific Outcome Measure (ePSOM) in the US population: What matters to individuals the most about their brain health
Stina Saunders, PhD
Personalized Medicine Lead, Linus Health
Session #92530
Pennsylvania Convention Center, 201 ABC
8:00–8:45 a.m.
Poster #92530
Pennsylvania Convention Center, Exhibit
Key takeaways:
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The findings of our study support the notion that treatments in ADRD should be developed with a person-centered approach. We found differences in treatment priorities across the UK and US populations and across sociodemographic groups within these populations.
We propose measuring "confidence" to assess self-perceived ability in the areas that matter most to the person. -
We also outline a method to capture and monitor personally meaningful treatment targets.
POSTER
Validation of Clinical Decision Support Recommendations of a Digital Cognitive Assessment by Expert Cognitive Neurologists
Ali Jannati, MD, PhD
Director of Cognitive Science, Linus Health
Poster #92040
Pennsylvania Convention Center, Exhibit
Key takeaways:
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Linus Clinical Pathways and the clinical decision support (CDS) recommendations generated by the Linus Health CCE for indications of cognitive impairment were rated as clinically appropriate by five academic, board-certified cognitive neurologists.
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The findings indicate the clinical utility of the CCE for guiding the PCPs’ approach to diagnosis and management of patients with cognitive impairment.
POSTER
DCTclock metrics differentiate between amnestic and vascular mild cognitive impairment
Ali Jannati, MD, PhD
Director of Cognitive Science, Linus Health
Poster #89745
Pennsylvania Convention Center, Exhibit
Key takeaways:
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DCTClock metrics, particularly from the copy clock, show utility for differentiating between amnestic and vascular Mild Cognitive Impairment (MCI).
POSTER
The Digital Clock and Recall is More Equitable and Less Biased than the Mini-Mental State Examination in Terms of Ethnicity
Sean Tobyne, PhD
VP, Data Science and Analytics, Linus Health
Poster #89963
Pennsylvania Convention Center, Exhibit
Key takeaways:
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Differences between Hispanics and non-Hispanics were larger for the MMSE in two independent datasets, and significantly so in one of them (not so for race and education).
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Only MMSE showed differences between these ethnic groups.
POSTER
Digitizing the Trails Making Test for Automatic Detection of Cognitive Impairment: Validity and Reliability
Sean Tobyne, PhD
VP, Data Science and Analytics, Linus Health
Poster #89997
Pennsylvania Convention Center, Exhibit
Key takeaways:
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In a new digital Trail Making Test, we show good reliability for time to complete (classic paper metric) and total errors.
Age trends were consistent with published paper Trail norms across two independent studies, regardless of demographic characteristics.
POSTER
A Brief Digital Neuropsychological Protocol — I: Using Artificial Intelligence Assisted Technology to Assess Process and Errors
David Libon, PhD
Departments of Geriatrics, Gerontology, and Psychology, School of Osteopathic Medicine, New Jersey institute for Successful Aging, Rowan University
Poster #91441
Pennsylvania Convention Center, Exhibit
Key takeaways:
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Cluster analysis using a panel of 6 traditional measures classified participants into normal, amnestic MCI, dysexecutive MCI, and dementia groups.
- Subsequent analyses of error and process variables operationally defined key features associated with amnesia including rapid forgetting, the production of extra-list intrusion errors, profligate responding to recognition foils, and key features underlying reduced executive measures (i.e., perseverations and related errors.)
POSTER
A Brief Digital Neuropsychological Protocol — II: Using Artificial Intelligence to Assess Verbal Serial List Learning Recognition Latency
David Libon, PhD
Departments of Geriatrics, Gerontology, and Psychology, School of Osteopathic Medicine, New Jersey institute for Successful Aging, Rowan University
Poster #91489
Pennsylvania Convention Center, Exhibit
Key takeaways:
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Amnestic MCI (aMCI) and dementia (dem) memory clinic patients endorsed more recognition foils than dysexecutive MCI (dMCI) and normal (nl) performing memory clinic patients.
- Moreover, for correct recognition responses, latency was slower for aMCI versus dMCI and nl groups; and dementia versus dMCI and nl groups.
Monday, July 29
ORAL PRESENTATION
Early Identification of Alzheimer's Disease with a Machine Learning-Enabled Digital Cognitive Assessment: Concurrent Detection of Cognitive Impairment and Amyloid-Beta PET Status
Ali Jannati, MD, PhD
Director of Cognitive Science, Linus Health
Session #93435
Pennsylvania Convention Center, 115 ABC
2:00– 3:30 p.m.
Key takeaways:
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Identification of both cognitive impairment (CI) and brain pathology is essential for identifying individuals with AD and prioritizing suitable candidates for disease-modifying treatment (DMT).
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Digital Clock and Recall (DCR) was superior to longer traditional cognitive tests for CI classification and non-inferior to blood-based biomarkers (BBMs) for classifying Aβ PET status.
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DCR is an efficient means to triage patients for Aβ PET scans and DMT eligibility.
POSTER
A Brief Digital Neuropsychological Protocol — III: Using Artificial Intelligence to Measure Semantic Memory with the ‘Animal’ Fluency Test
David Libon, PhD
Departments of Geriatrics, Gerontology, and Psychology, School of Osteopathic Medicine, New Jersey institute for Successful Aging, Rowan University
Poster #91512
Pennsylvania Convention Center, Exhibit
Key takeaways:
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Normal (nl) performing memory clinic patients generated more ‘animal’ exemplars than amnestic MCI (aMCI), dysexecutive MCI (dMCI), and dementia (dem) patient groups. Both nl and dMCI patients produced a higher, more semantically connected, ‘animal’ Association Index (AI) than dementia patients.
- The ‘animal’ AI was associated with increasing numbers of P(r)VLT prototypic recognition foils.
Wednesday, July 31
DEVELOPING TOPIC POSTER
A Brief Digital Neuropsychological Protocol – IV: Relations Compared to Comprehensive Paper and Pencil Neuropsychological Assessment
Ileana De Anda-Duran, MD
Department of Epidemiology, Tulane University
Poster #95672
Pennsylvania Convention Center, Exhibit
Key takeaways:
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The memory index constructed using this digitally administered and scored protocol correlated with paper and pencil CVLT-short form delayed free recall and recognition discriminability scores.
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The corresponding executive index correlated with paper and pencil executive tests including the WMS-IV Symbol Span; Trails B time to completion, and output on the letter fluency test
POSTER
Integration of a Digital Cognitive Assessment Tool in a Primary Care Setting
Honghuang Lin, PhD
Professor of Medicine, UMass Chan Medical School
Poster #89522
Pennsylvania Convention Center, Exhibit
Key takeaways:
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The feasibility of integrating Linus Health’s Core Cognitive Evaluation (CCE), a tablet-based digital cognitive assessment, into the workflow of a primary care practice at UMass Memorial Medical Center was evaluated.
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The results showed that integration of the CCE into a primary care setting was feasible and impacted PCPs’ clinical decision-making, with high patient, caregiver, and provider satisfaction.
POSTER
Digital Cognitive Screening and ML-Enabled Random Forest Modeling for the Detection of Cognitive Impairment
Ali Jannati, MD, PhD
Director of Cognitive Science, Linus Health
Poster #89936
Pennsylvania Convention Center, Exhibit
Key takeaways:
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The DCR, a 3-minute digital cognitive assessment, can be used to classify MCI and probable Alzheimer’s dementia with high accuracy, sensitivity, and specificity.
Virtual Posters
The Digital Clock and Recall can predict functional impairment in individuals with and without cognitive impairment and triage those in need of further assessment
Marissa Ciesla, PhD
Senior Clinical Development Scientist, Linus Health
Key takeaways:
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The DCR can identify individuals in need of further evaluation for functional impairment.
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The DCR can reliably rule out the need for further assessments of iADLs and ADLs in individuals who are unlikely to be functionally impaired.
Feasibility of the Linus Health's life and health questionnaire in primary-care settings
Marissa Ciesla, PhD
Senior Clinical Development Scientist, Linus Health
Key takeaways:
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The Life and Health Questionnaire (LHQ) takes less than 5 minutes on average to complete.
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LHQ completion time is increased to only 6 minutes on average in individuals with lower education level or greater cognitive impairment.
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Using the LHQ is feasible to screen for lifestyle and psychosocial risk factors related to brain health in primary-care settings.