Skip to content

Author

P. van Damme

We have 5 of 446 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Data-driven identification of repurposable drugs for ALS

Amyotrophic lateral sclerosis (ALS) is a severe disease that causes thousands of deaths annually. Current treatments are either limited in effectiveness or not broadly applicable. To discover new options, we conducted a genetics-based screen to identify drugs that could be repurposed for ALS. We analyzed genome-wid...

S. Saez-Atienzar, Luis A. Rojas-Colón, Ruth Chia et al. · 0 citations
Open access Aug 2026

Metabolic connectivity alterations in amyotrophic lateral sclerosis: Individual network analysis based on Wasserstein distances

Abstract Molecular connectivity analysis with positron emission tomography (PET) imaging offers a promising approach for characterising brain network alterations in neurodegenerative disorders. In this study, we introduce Wasserstein distance (WD) as an alternative to Kullback–Leibler divergence similarity estimation (...

Chun-Meng Tang, Joke de Vocht, P. van Damme et al. · 0 citations
Open access Sep 2026

Conceptualizing cognition and behaviour across amyotrophic lateral sclerosis and frontotemporal dementia.

Cognitive and behavioral dysfunction in frontotemporal dementia (FTD) evolves along a clinical continuum from a clinically silent stage of disease, through a prodromal period, often referred to as mild cognitive impairment (MCI) and/or mild behavioral impairment (MBI), and into a clinically manifest stage recognized by...

M. Benatar, E. Huey, Chiadikaobi Onyike et al. · 1 citation
Review Open access Sep 2026

Progress towards a biotypic biomarker profile for amyotrophic lateral sclerosis-frontotemporal spectrum disorders.

An international workshop was convened in London, Canada in 2025 to review the evidence for existing or evolving biomarkers suitable for the detection of either ALS or FTD pathobiology prior to phenoconversion and/or predict phenoconversion in at risk individuals.

Michael J. Strong, Neil S. Donison, A. Al-Chalabi et al. · 0 citations
Open access Sep 2026

Towards a deep-learning genomic tool for risk stratification and diagnostic support in sporadic ALS

A new model is developed that is validated across diverse ALS populations, can handle discrepancies between genotyping technologies, and is applicable to individual external samples, and has the potential to extend genetic risk assessment to all individuals, regardless of their family history or the presence of known A...

Jia-Jing Hu, Oliver Pain, A. Al Khleifat et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.