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From challenge to clarity: Our diagnostic solutions for Alzheimer’s disease
Comprehensive clarity along the care path
Dementia, often referred to as a “silent pandemic”, is one of the biggest health burdens worldwide.1,2 It is a chronic neurodegenerative condition that worsens over time, destroying the core of what makes a person who they are.1,2
We are deeply committed to developing biomarkers that help to understand and detect the underlying causes across the key hallmarks of Alzheimer’s Disease to ultimately allow for earlier diagnosis, treatment, and management of this devastating disease. With the vision to expand and further innovate our robust foundational portfolio of cerebrospinal fluid (CSF) and blood-based biomarkers, Alzheimer’s testing is brought into the routine lab, supporting lab and clinicians with earlier, more accessible, and accurate tools that have the power to transform the entire care path now and in the future.
Opening the door for timely intervention and giving people with Alzheimer’s and their families what is needed most: Time, clarity, and control.
The accelerating burden of undetected Alzheimer’s worldwide
Someone in the world develops dementia every three seconds.3 Currently, it is estimated that over 55 million people worldwide are living with dementia, of which up to 70% may have Alzheimer’s, the most common form of the disease.4 Despite its prevalence, up to 75% of people with symptoms of dementia remain undiagnosed today, and for those who do receive a diagnosis, the average wait time is 2.1 years.5,6
A number of factors contribute to the late diagnosis or underdiagnosis of AD. Patients currently face challenges such as a lack of awareness of the disease and the stigma associated with it. At the same time, expensive and limited available diagnostic tools, such as positron emission tomography (PET) imaging, and a shortage of neurologists to meet the growing demand for diagnoses further affect timely and accurate disease identification.7
By 2050, the number of people living with dementia is projected to triple to 150 million.8 At that point, dementia is expected to account for 11% of total global healthcare spending, with Alzheimer’s costs alone reaching an estimated $16.9 trillion.9
The impact of Alzheimer’s goes far beyond patients—felt deeply by families, friends, and society as a whole. Given current delays in triage and detection, alongside the immense projected burden of disease, there is an imperative need for more accessible and efficient diagnostic solutions.7
Navigating the challenges of timely Alzheimer’s diagnosis
Alzheimer’s disease is difficult to diagnose because early symptoms overlap with other conditions like depression or vitamin deficiencies, and because pathological changes begin decades before clinical symptoms appear.10,11 Under the National Institute on Aging and Alzheimer’s Association (NIA-AA) framework, Alzheimer’s is recognized as a biological continuum that evolves from a preclinical, asymptomatic phase to subjective cognitive decline (SCD), mild cognitive impairment (MCI), and eventually dementia.
The central diagnostic challenge lies in identifying patients during these early clinical stages (SCD and MCI), where underlying pathology such as amyloid-beta and tau accumulation is underway, but standard cognitive tests may show minimal or fluctuating impairment.12,13 While approximately 20% of individuals with MCI revert to normal cognition, their risk of subsequent decline remains elevated.14
As disease pathology advances across the continuum, cognitive decline accelerates sharply, leading to a total loss of independent function. Up to a third of patients progress to more advanced clinical stages each year, making early biological detection essential for timely management.15
Bridging the diagnostic gap with advanced biomarkers
Currently, biomarkers reflect the biological changes that indicate the presence or absence of Alzheimer’s disease.16 The defining hallmarks are abnormal amyloid-beta and tau proteins accumulating in the brain. These changes in proteins can be visualized using brain imaging techniques such as amyloid positive electron tomography (PET) or fluorodeoxyglucose (FDG)-PET, or quantified via lab-based CSF and blood tests.17-19
Despite these advancements, a significant unmet diagnostic need remains. Disparities in patient access and limited routine biomarker testing to confirm amyloid pathology continue to delay definitive, accurate diagnoses.
Overcoming current diagnostic bottlenecks requires innovative solutions that identify biomarkers earlier in the disease continuum. For nearly two decades, Roche has developed tools designed to accelerate time to diagnosis, enable better clinical decision-making across the pathway, and support therapies targeting the biological mechanisms of Alzheimer’s disease.
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Benefits of Roche diagnostic solutions for managing Alzheimer’s Disease
Comprehensive clarity from triage to timely diagnosis
Provide routine-ready diagnostic standards designed to simplify complex clinical pathways. Our integrated portfolio of blood-based biomarkers (BBBMs) and CSF assays support enhanced clinical decision-making confidence.20
- Enhance diagnostic accuracy: Improves diagnostic confidence, particularly in the early stages of the disease.11
- Evaluate biological pathology: Helps rule in or rule out underlying amyloid pathology in direct concordance with amyloid PET, and identify APOE4 carrier status to inform patient management.21-24
- Assess therapeutic response in clinical trials: Measures treatment effects on underlying disease pathology and provides surrogate markers of disease activity to verify trial endpoints.11
- Stratify patient populations: Enables precise patient stratification and cohort enrichment based on underlying pathology.11
pTau217: Clinical and economic benefits to the healthcare system
Dr. Soeren Mattke, physician and health services researcher at the University of Southern California, explores the growing role of blood-based biomarkers in the diagnosis and evaluation of Alzheimer’s disease.
Maximize lab capacity with scalable, routine-ready testing
Meeting the growing demand for AD diagnostics requires scalable solutions that integrate easily into daily operations. Whether expanding existing menu capabilities or building new diagnostic services, our testing portfolio is designed to deliver immediate efficiency:
- Leverage established infrastructure: Rapidly scale testing by running high-value Elecsys® assays on trusted cobas® integrated analytical units across an installed base of over 75,000 units globally, avoiding the need for specialized, standalone platforms.25
- Bypass diagnostic bottlenecks: Offer cost-effective blood-based and CSF biomarker testing to overcome the severe throughput limits of amyloid-PET (<1% utilization) and specialized imaging.26
- Streamline with standardized workflows: Consolidate neurodegenerative testing onto routine automated chemistry and immunoassay systems to optimize turnaround times, reduce hands-on labor, and manage rising sample volumes efficiently.
- Expand service capabilities: Equip your lab to deliver timely, actionable biomarker results to clinicians seeking earlier diagnostic clarity.
Uncompromising accuracy, speed, and reliability from the first draw
When facing a life-changing Alzheimer’s diagnosis, clinicians and patients need total diagnostic certainty. Designed to align with established staging methods, Roche Elecsys® assays empower labs to provide fast, actionable, and reliable results:
- Rapid 18-minute results: Elecsys® assays enable targeted quantification of Alzheimer’s disease parameters in as little as 18 minutes, accelerating time to actionable clinical insights.19,27,28
- High analytical accuracy: Proven accuracy and precision across all cobas® e platforms, independently validated through the Alzheimer's Association Quality Control (AAQC) program.19,27,28
- Standardized and PET-concordant: Fully traceable to global reference standards with clinically validated cut-offs and demonstrated concordance to gold-standard PET scans.19,27,28
- Trusted operational partnership: Backed by industry-leading service, proactive support, and an outstanding mean time between repairs to ensure uninterrupted routine operations.s and demonstrated concordance to gold-standard PET scans.19,27,28
References
- Serrano-Pozo A, et al. Neuropathological Alterations in Alzheimer Disease. Cold Spring Harb Perspect Med. 2011;1:a006189.
- Huang X, editor. Alzheimer’s Disease: Drug Discovery. Brisbane (AU): Exon Publications; 2020.
- Alzheimer's Disease International. Dementia statistics [Internet; cited 2026 July 27]. Available from: https://www.alzint.org/about/dementia-facts-figures/dementia-statistics/.
- World Health Organization. Dementia [Internet; cited 2026 July 27]. Available from: https://www.who.int/news-room/fact-sheets/detail/dementia.
- Alzheimer's Disease International. World Alzheimer Report 2022: Life after diagnosis: Navigating treatment, care and support [Internet; cited 2026 July 27]. Available from: https://www.alzint.org/resource/world-alzheimer-report-2022/.
- Alzheimer Europe. European carers’ report 2018 [Internet; cited 2026 Aug 18]. Available at: https://www.alzheimer-europe.org/sites/default/files/2021-11/04886%20Carers%27%20report_updated%20FINAL.pdf.
- Dumas A, et al. Rethinking the detection and diagnosis of Alzheimer's disease: Outcomes of a European Brain Council project. Aging Brain. 2023;4:100093.
- Alzheimer's Disease International. World Alzheimer Report 2022: Life after diagnosis: Navigating treatment, care and support [Internet; cited 2026 July 27]. Available from: https://www.alzint.org/resource/world-alzheimer-report-2022/.
- IHME. Different countries, different drivers of brain health burden [Internet; cited 2026 July 27]. Available from: https://brainhealthatlas.org/factsheet.
- Masters CL, et al. Alzheimer's disease. Nat Rev Dis Primers. 2015;1:15056.
- Blennow K, et al. Alzheimer's disease. Lancet. 2006;368:387–403.
- Jack CR Jr, et al. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018;14:535–62.
- Jessen F, et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement. 2014;10:844–52.
- Roberts R and Knopman DS. Classification and epidemiology of MCI. Clin Geriatr Med. 2013;29:753–72.
- Davis M, et al. Estimating Alzheimer's disease progression rates from normal cognition through mild cognitive impairment and stages of dementia. Curr Alzheimer Res. 2018;15:777–88.
- Grothe MJ, et al. Associations of fully automated CSF and novel plasma biomarkers with Alzheimer disease neuropathology at autopsy. Neurology. 2021;97:e1229–42.
- Hampel H, et al. Blood-based biomarkers for Alzheimer’s disease: Current state and future use in a transformed global healthcare landscape. Neuron. 2023;111:2781–99.
- Pahlke S, et al. Blood-based biomarkers for detecting Alzheimer’s disease pathology in cognitively impaired individuals within specialized care settings: A systematic review and meta-analysis. Alzheimers Dement. 2025;21:e70828.
- Schindler SE, et al. Acceptable performance of blood biomarker tests of amyloid pathology — recommendations from the Global CEO Initiative on Alzheimer's Disease. Nat Rev Neurol. 2024;20:426–39.
- Rabinovici GD, et al. Association of amyloid positron emission tomography with subsequent change in clinical management among Medicare beneficiaries with mild cognitive impairment or dementia. JAMA. 2019;321:1286–94.
- F. Hoffmann-La Roche Ltd. Elecsys® Phospho-Tau (217P) Plasma Method Sheet. (v1.0). 2026.
- F. Hoffmann-La Roche Ltd. Elecsys® β-Amyloid (1-42) CSF II Method Sheet. (v3.0). 2025.
- F. Hoffmann-La Roche Ltd. Elecsys® Phospho-Tau (181P) CSF Method Sheet. (v3.0). 2025.
- F. Hoffmann-La Roche Ltd. Elecsys® Apolipoprotein E4 Plasma Method Sheet. (v1.0). 2026.
- F. Hoffmann-La Roche Ltd. cobas® pure integrated solutions [Internet; cited 2026 July 30]. Available from: https://diagnostics.roche.com/gb/en/products/systems/cobas-pure-integrated-solutions-sys-351.html.
- Roth S, et al. The capacity for Alzheimer’s disease confirmatory testing in the United States: The current situation and simulations for future increase. J Alzheimers Dis. 2026;109:13872877251406909.
- Collij LE, et al. Quantification supports amyloid PET visual assessment of challenging cases: Results from the AMYPAD diagnostic and patient management study. J Nucl Med. 2025;66:110–6.
- Jack CR Jr, et al. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement. 2024;20:5143–69.