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Linus Health Showcases Digital Health Innovations at CTAD for Alzheimer's Clinical Trials

• Linus Health presented data at CTAD demonstrating how its digital health platform streamlines Alzheimer's clinical trials by reducing investigator burden. • The Digital Clock and Recall (DCR) platform accuracy matched blood-based biomarkers in predicting cognitive impairment, offering a cost-effective recruitment solution. • An electronic Person Specific Outcome Measure tool helps incorporate the patient's voice in study outcomes, establishing clinical meaningfulness in trials. • Combining speech- and drawing-based assessments offers accessible, repeated screenings for cognitive impairment, benefiting clinical trial evaluations.

Linus Health presented four poster presentations at the Clinical Trials on Alzheimer's Disease (CTAD) conference in Madrid, Spain, showcasing how its digital health platform enhances clinical trials for Alzheimer's disease and related dementias. The presentations highlighted advancements in streamlining recruitment, incorporating patient-specific outcomes, and improving cognitive assessment through digital tools.

Streamlining Recruitment with Digital Cognitive Assessment

Dr. Ali Jannati, Director of Cognitive Science at Linus Health, presented findings on the Digital Clock and Recall™ (DCR™) platform. The study demonstrated that the DCR's accuracy in predicting cognitive impairment matched that of blood-based biomarkers and surpassed traditional cognitive tests. This suggests that the DCR platform can effectively streamline recruitment for clinical trials, offering a cost-effective method for selecting suitable participants and reducing screen failure rates.

Incorporating Patient Priorities in Clinical Trial Outcomes

Chief Medical Officer Dr. Alvaro Pascual-Leone presented a study on the electronic Person Specific Outcome Measure tool. The findings revealed heterogeneity in individual-level brain health priorities within the United States. The study indicates that self-reported confidence in managing personally meaningful priorities could be incorporated to represent the patient's perspective in study outcomes. Linus Health's tool supports the establishment of clinical meaningfulness in Alzheimer's disease trials and is being validated across global populations.

Enhancing Cognitive Impairment Screening

Dr. Tanya Talkar, Data Scientist at Linus Health, presented a poster highlighting the benefits of combining speech- and linguistic-based metrics with drawing- and process-based metrics for cognitive impairment screening. The screening can be administered both in clinical and remote settings, offering researchers accessible, repeated recordings for clinical trials or evaluation of disease-modifying therapies.

Optimizing Neuropsychology Workflow

Another study led by Dr. Jannati proposed a workflow involving a technology-enabled psychometry assistant (TPA) equipped with the Linus Health Core Cognitive Evaluation (CCE) and Clinical Decision Support (CDS) system. This workflow aims to streamline the initial cognitive assessment process at the primary care level, improving the efficiency of neuropsychological evaluations by reducing specialist workload, avoiding unnecessary referrals, and prioritizing patients needing further assessment. According to Linus Health, this approach allows for broader insight into cognitive function with greater efficiency.
Linus Health's CEO, Dr. David Bates, emphasized the growing value of augmenting clinical expertise with technology to gain broader insights into cognitive function more efficiently. The company's digital cognitive assessment platform aims to enable early detection, provide actionable clinical insights, and support individuals with personalized action plans, ultimately transforming brain health for people worldwide.
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[1]
Linus Health to Demonstrate How Digital Health Powers Innovation at Clinical Trials on ...
prnewswire.com · Oct 29, 2024

Linus Health presents four posters at the 17th annual CTAD conference in Madrid, demonstrating how its digital health pl...

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