News & Resources

MR Imaging in Ataxias Consensus Recommendations by the Ataxia Global Initiative Working Group on MRI Biomarkers

As members of the Ataxia Global Initiative (AGI) MR Biomarkers Study Group that authored the paper Kirsi Kinnunen and Niccolo Fuin hope that these guidelines on harmonizing MRI data acquisition will be helpful for ataxia study sponsors.

Validation of IXIQ.Ai+gBSI : an automated framework for caudate atrophy measurement in Huntington’s disease

We have developed a fully automated framework that uses deep learning for caudate segmentation (IXIQ. Ai) and generalised BSI (gBSI) for longitudinal measurements. Here, we validate the new method by comparing its volumetric scores with those of the standard manual pipeline (Man+BSI). Man+BSI produced larger caudate volumes than IXIQ.

Gene therapy for the CNS: The roles of neuroimaging

Validation of a Jacobian AI-based method to measure cerebellar volume changes in multiple system atrophy

The accurate, consistent, and scalable estimation of cerebellar atrophy would be highly beneficial for clinical trials in multiple system atrophy (MSA)1-3.

Deep-learning methods for enrichment of Alzheimer’s Disease clinical trials using MRI and PET

  Drug development trials aimed to halt Alzheimer’s disease (AD) progression favour recruitment of participants at early stages, preferably before symptomatic onset. In this investigation, we developed a deep-learning framework to differentiate participants with accelerated cognitive decline from those that remain cognitively stable within 24 months.

Alzheimer’s disease: emerging neuroimaging techniques in clinical trials

Alzheimer's Disease: The Role of Cutting-Edge Neuroimaging Techniques

  Alzheimer's disease is a complex neurodegenerative disorder that affects millions of people worldwide. While there is no cure for the disease, ongoing research efforts have led to significant advancements in our understanding of the underlying mechanisms that drive the disease.

How Data, Imaging & AI Are Transforming MS Clinical Research

Multiple Sclerosis (MS) is an unpredictable neurological condition which affects the brain and spinal cord, potentially causing a wide range of symptoms including problems with vision, arm or leg movements, sensation, and balance. Multiple Sclerosis (MS) is the most common autoimmune disorder of the Central Nervous System (CNS), affecting around 2.