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Driving Precision Medicine in CNS Disorders

Neurodegenerative and neuropsychiatric diseases represent one of the largest areas of unmet medical need to healthcare systems in the world today.

Disorders of the central nervous system are a major focus for PrecisionLife.  We’ve completed analyses in more than a dozen indications and continue to add to the list as datasets become available.

Our AI-led combinatorial analysis approach is particularly well-suited to these complex, heterogeneous diseases and we have successfully revealed subgroups within the patient populations that point to previously unknown underlying pathologies, some of which are common across the indications, enabling targeted precision medicine R&D programs in CNS disorders.

Our on-going work includes:

  1. Actively working with our partners to validate entirely novel therapeutic targets in both ALS and schizophrenia
  2. Using our patient stratification biomarkers to explore mechanisms of action and more targeted use of existing therapies to treat disease
  3. Identifying novel causal biology and genetic risk factors
  4. Completing analyses of a new dataset from Alzheimer’s disease to support findings from our previous studies

View recent research articles, videos and news, about our precision neuroscience and CNS programs below.

 

Enabling Precision Neuroscience

Watch our presentation of groundbreaking advances made in precision medicine for neurodegenerative and neuropsychiatric diseases, which was awarded the Innovation Showcase prize at the CNS Summit.

 

Recent Posters

 

ALS Actively Protective Biology & Novel Causal Targets

Identifying actively protective biology, novel causal targets,  and mechanistic patient stratification biomarkers in ALS

Identification of Alz Actively Protective Biologies

Identifying actively protective biology, novel targets  & mechanistic biomarkers in Alzheimer's disease

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Precision Medicine for Amyotrophic Lateral Sclerosis-min

Precision Medicine for Amyotrophic Lateral Sclerosis: Combinatorial Analysis of Patient Genomes

Precision Medicine for Alzheimer’s Disease-min

Precision Medicine for Alzheimer’s Disease: Identifying Effective Therapeutic Strategies with Stratification Biomarkers

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Cross-disorder Patient and Mechanistic Stratification-min

Cross-disorder Patient and Mechanistic Stratification using Combinatorial Analyses

ALS and FTD Cross-Disease Mechanisms

Cross-Disease Mechanisms Identified in ALS and FTD Patient Genomes

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Disease Studies

 

 

Alzheimer’s Disease Study

Multiple patient subgroups discovered with distinct mechanistic etiologies, novel targets and biomarkers

 

ALS_MND Disease Study

Identifying novel targets with genetic linkage to stratified patient subgroups

Study overview   Study overview

Schizophrenia  Disease Study

Mechanism-based patient stratification enables novel target discovery and repurposing opportunities

 

Study overview  

 

Articles

Precision Neuroscience blog-min

 

DDW Precision Neuroscience-min


A New Era of Precision Neuroscience
Drug Discovery World  |  Guide to Neuroscience R&D

PMQ Precision Neuroscience-min

Unlocking R&D Innovation for CNS Diseases
Precision Medicine Quarterly  |  Volume 1

Read the article Read the article

 

 

Related News

Ono Pharmaceutical Enters into a Multi Target CNS R&D Collaboration with PrecisionLife

Nxera Pharma and PrecisionLife Expand Strategic Neuroscience R&D Partnership

PrecisionLife and NATA Announce R&D Partnership to Jointly Develop New MND/ALS Drug Programme

Agreement with King’s College London to Enable New Precision Neuroscience Treatments in MND/ALS

 

About PrecisionLife

PrecisionLife is a pioneering precision medicine company changing the way the world predicts, prevents, and treats complex, chronic diseases by finding better, more personalized diagnostic and treatment options for patients.

Our platform is unique in its ability to identify causal biology and link chronic disease patients to effective treatments via the molecular mechanism of their disease or drug response. These insights enable us to significantly improve probabilities of success across the biopharma and healthcare value chain.

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