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:
- Actively working with our partners to validate entirely novel therapeutic targets in both ALS and schizophrenia
- Using our patient stratification biomarkers to explore mechanisms of action and more targeted use of existing therapies to treat disease
- Identifying novel causal biology and genetic risk factors
- 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 NeuroscienceWatch 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. |
Cross-disorder Patient and Mechanistic Stratification using Combinatorial Analyses |
Cross-Disease Mechanisms Identified in ALS and FTD Patient Genomes |
Disease Studies |
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Unlocking R&D Innovation for CNS Diseases |
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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