Neurodegenerative diseases like Alzheimer’s and Parkinson’s have long posed a challenge to clinical research. High failure rates, slow progression and complex pathology have made drug development in this space notoriously difficult. But a wave of innovation in biomarkers is changing the landscape and bringing new precision, speed and hope to patients and researchers alike.
Here, we build on the conversation explored in our recent webinar, Boosting clinical trial success in Alzheimer’s, Parkinson’s and other neurodegenerative diseases, moderated by ICON’s Prof. Peter Schueler, MD, Senior Vice President of Drug Development Solutions, Neurosciences & Immunology. We explore how biomarkers are reshaping trial design, diagnosis and patient outcomes, and the vital role of collaboration in driving innovation in this exciting field.
Biomarkers as the engine of innovation in CNS trials
Over the past decade, we have seen an explosion in biomarker development across fluid, imaging, genomic and digital domains. These tools are rapidly shifting from experimental to essential, moving the dial on central nervous system (CNS) therapies. The biomarkers breakthrough opened a door for deeper understanding of these complex pathologies, which has subsequently informed clinical trial design, from identifying the right patients to monitoring disease progression and measuring treatment response.
This shift is particularly impactful in CNS trials, where traditional endpoints often fail to capture subtle changes. Biomarkers offer earlier, more sensitive indicators of efficacy, enabling faster decisions and more targeted therapies.
From clinical syndromes to biology: Redefining diagnostic concepts
Diagnosis is the first step toward treatment. In CNS, even precise diagnosis is particularly challenging.
Historically, diagnosing neurodegenerative diseases relied heavily on clinical observation of symptoms. Memory loss, tremors or cognitive decline were used to categorise patients into broad syndromes like Alzheimer’s or Parkinson’s. While practical, this approach does not account for what we now know about CNS: that different biologies can present as the same syndrome. As such, the symptom focused diagnostics may lead to misclassification and inconsistent trial outcomes.
For example, patients with corticobasal syndrome may have different underlying pathologies, which can now be identified using biomarkers. This enables targeted therapies based on biology rather than symptoms alone. Similarly, diagnosis of Alzheimer’s is now anchored in biological evidence, specifically the presence of amyloid beta and Tau pathology. This biological lens has revealed that many patients previously diagnosed with Alzheimer’s may not have the hallmark amyloid pathology, meaning they were unlikely to benefit from amyloid-targeting therapies. By refining inclusion criteria through biomarkers, trials can now focus on those most likely to respond, reducing noise and increasing statistical power.
In Parkinson’s research, new frameworks incorporate synuclein aggregation, neurodegeneration and genetic markers to define disease subtypes more accurately. These criteria are not yet agreed as standard in clinical research, but they are already influencing trial design and therapeutic strategy.
This redefinition of the core diagnostic concept now allows researchers to identify patients with confirmed disease mechanisms, differentiating the subtypes to better align patients with the right treatments.
Precision, potential and progress for trial populations
Biomarkers progressively de-risk trials with smarter designs and targeted participant populations. By identifying patients with the specific biological features of a therapy target, researchers can reduce variability, improve statistical power and avoid enrolling individuals unlikely to benefit. This precision leads to smaller, faster and more cost-effective studies, with improved recruitment, clearer outcomes and fewer false negatives. It also allows for earlier go/no-go decisions, helping sponsors allocate resources more efficiently and avoid late-stage failures.
For trial participants, biomarkers effectively improve the risk-benefit ratio for them with selection criteria to target patients most likely to respond to the therapy.
Switching gears from stalling progression to potential cure
Biomarkers also signify the first significant step toward preventive and potentially curative approaches. In Alzheimer’s, for example, fluid and imaging biomarkers can detect pathology years before symptoms appear. This creates a window for early intervention before irreversible damage occurs. Patients may one day receive treatment not because they are sick, but because they are at high risk.
This marks a fundamental shift in the patient experience. Instead of managing inevitable decline, we can begin to talk about halting disease before it begins. Instead of generalised care, we can pinpoint tailored therapies based on biomarkers. And instead of uncertainty, patients gain clarity about their condition and their options.
Biomarkers in the building—collaborating to catalyse innovation
Thankfully, innovation in the CNS and biomarker space is moving fast. But keeping up with the pace of innovation is a strategic imperative that requires concerted, cross-functional collaboration. Staying ahead means tracking emerging science and also translating it into trial-ready solutions in real time—even amending ongoing trial protocols if feasible.
ICON is poised at the forefront of this transformation with access to experts from all relevant biomarker domains and laboratory specialists under one roof. To capitalise on this expertise, we have created a formal internal biomarker forum to serve as a regular checkpoint for knowledge sharing, evaluating new technologies and aligning on trial strategy.
This ensures that ICON can deliver trials that evolve with the science, not behind it. In a field where the stakes are high and the timelines are tight, that kind of agility makes a difference.
For more information on how biomarkers are reshaping neurodegenerative disease research, watch our insightful webinar with industry experts. To learn how to integrate biomarker innovation into your trial design to keep up with the new era of CNS research, connect with us today.
In this section
-
Digital Disruption
-
Clinical strategies to optimise SaMD for treating mental health
-
Digital Disruption: Surveying the industry's evolving landscape
- AI and clinical trials
-
Clinical trial data anonymisation and data sharing
-
Clinical Trial Tokenisation
-
Closing the evidence gap: The value of digital health technologies in supporting drug reimbursement decisions
- mHealth wearables
-
Personalising Digital Health
- Real World Data
-
The triad of trust: Navigating real-world healthcare data integration
-
Decoding AI in software as a medical device (SaMD)
-
Software as a medical device (SaMD)
-
Clinical strategies to optimise SaMD for treating mental health
-
Patient Centricity
-
Accelerating clinical development through DHTs
-
Agile Clinical Monitoring
-
Capturing the voice of the patient in clinical trials
-
Charting the Managed Access Program Landscape
- Representation and inclusion in clinical trials
-
Exploring the patient perspective from different angles
-
Patient safety and pharmacovigilance
-
A guide to safety data migrations
-
Taking safety reporting to the next level with automation
-
Outsourced Pharmacovigilance Affiliate Solution
-
The evolution of the Pharmacovigilance System Master File: Benefits, challenges, and opportunities
-
Sponsor and CRO pharmacovigilance and safety alliances
-
Understanding the Periodic Benefit-Risk Evaluation Report
-
A guide to safety data migrations
-
Patient voice survey
-
Patient Voice Survey - Decentralised and Hybrid Trials
-
Reimagining Patient-Centricity with the Internet of Medical Things (IoMT)
-
Using longitudinal qualitative research to capture the patient voice
-
Prioritising patient-centred research for regulatory approval
-
Accelerating clinical development through DHTs
-
Regulatory Intelligence
-
Accelerating access
-
Meeting requirements for Joint Clinical Assessments
-
Navigating the regulatory landscape in the US and Japan:
-
Preparing for ICH GCP E6(R3) implementation
-
An innovative approach to rare disease clinical development
- EU Clinical Trials Regulation
-
Using innovative tools and lean writing processes to accelerate regulatory document writing
-
Current overview of data sharing within clinical trial transparency
-
Global Agency Meetings: A collaborative approach to drug development
-
Keeping the end in mind: key considerations for creating plain language summaries
-
Navigating orphan drug development from early phase to marketing authorisation
-
Procedural and regulatory know-how for China biotechs in the EU
-
RACE for Children Act
-
Early engagement and regulatory considerations for biotech
-
Regulatory Intelligence Newsletter
-
Requirements & strategy considerations within clinical trial transparency
-
Spotlight on regulatory reforms in China
-
Demystifying EU CTR, MDR and IVDR
-
Transfer of marketing authorisation
-
Exploring FDA guidance for modern Data Monitoring Committees
-
Streamlining dossier preparation
-
Accelerating access
-
Therapeutics insights
-
Endocrine and Metabolic Disorders
- Cardiovascular
- Cell and Gene Therapies
-
Central Nervous System
-
A mind for digital therapeutics
-
Challenges and opportunities in traumatic brain injury clinical trials
-
Challenges and opportunities in Parkinson’s Disease clinical trials
-
Early, precise and efficient; the methods and technologies advancing Alzheimer’s and Parkinson’s R&D
-
Key Considerations in Chronic Pain Clinical Trials
-
ICON survey report: CNS therapeutic development
-
A mind for digital therapeutics
-
Glycomics
- Infectious Diseases
- NASH
- Obesity
- Oncology
- Paediatrics
-
Respiratory
-
Rare and orphan diseases
-
Advanced therapies for rare diseases
-
Cross-border enrollment of rare disease patients
-
Crossing the finish line: Why effective participation support strategy is critical to trial efficiency and success in rare diseases
-
Diversity, equity and inclusion in rare disease clinical trials
-
Identify and mitigate risks to rare disease clinical programmes
-
Leveraging historical data for use in rare disease trials
-
Natural history studies to improve drug development in rare diseases
-
Patient Centricity in Orphan Drug Development
-
The key to remarkable rare disease registries
-
Therapeutic spotlight: Precision medicine considerations in rare diseases
-
Advanced therapies for rare diseases
-
Endocrine and Metabolic Disorders
-
Transforming Trials
-
Accelerating biotech innovation from discovery to commercialisation
-
Demystifying the Systematic Literature Reviews
-
Ensuring the validity of clinical outcomes assessment (COA) data: The value of rater training
-
Linguistic validation of Clinical Outcomes Assessments
-
More than monitoring
-
Optimising biotech funding
- Adaptive clinical trials
-
Best practices to increase engagement with medical and scientific poster content
-
Decentralised clinical trials
-
Biopharma perspective: the promise of decentralised models and diversity in clinical trials
-
Decentralised and Hybrid clinical trials
-
Practical considerations in transitioning to hybrid or decentralised clinical trials
-
Navigating the regulatory labyrinth of technology in decentralised clinical trials
-
Biopharma perspective: the promise of decentralised models and diversity in clinical trials
-
eCOA implementation
-
Blended solutions insights
-
Clinical trials in Japan: An enterprise growth and management strategy
-
How investments in supply of CRAs is better than competing with the demand for CRAs
-
The evolution of FSP: not just for large pharma
-
Embracing a blended operating model
-
Observations in outsourcing: Survey results show a blended future
-
Clinical trials in Japan: An enterprise growth and management strategy
-
Implications of COVID-19 on statistical design and analyses of clinical studies
-
Improving pharma R&D efficiency
-
Increasing Complexity and Declining ROI in Drug Development
-
Innovation in Clinical Trial Methodologies
- Partnership insights
-
Risk Based Quality Management
-
Transforming the R&D Model to Sustain Growth
-
Behind Biotech: Stories of science and resilience
-
Accelerating biotech innovation from discovery to commercialisation
-
Value Based Healthcare
-
Strategies for commercialising oncology treatments for young adults
-
US payers and PROs
-
Accelerated early clinical manufacturing
-
Cardiovascular Medical Devices
-
CMS Part D Price Negotiations: Is your drug on the list?
-
COVID-19 navigating global market access
-
Ensuring scientific rigor in external control arms
-
Evidence Synthesis: A solution to sparse evidence, heterogeneous studies, and disconnected networks
-
Health technology assessment
-
Perspectives from US payers
-
ICER’s impact on payer decision making
-
Making Sense of the Biosimilars Market
-
Medical communications in early phase product development
-
Navigating the Challenges and Opportunities of Value Based Healthcare
-
Payer Reliance on ICER and Perceptions on Value Based Pricing
-
Payers Perspectives on Digital Therapeutics
-
Precision Medicine
-
RWE Generation Cross Sectional Studies and Medical Chart Review
-
Survey results: How to engage healthcare decision-makers
-
The affordability hurdle for gene therapies
-
The Role of ICER as an HTA Organisation
-
Integrating openness and precision for competitive advantage
-
Strategies for commercialising oncology treatments for young adults
-
Blog
-
Videos
-
Webinar Channel