Brain age models - machine-learning predictions of chronological age from brain imaging - are widely interpreted as markers of accelerated brain aging. Here we show that this interpretation cannot be ...

Brain age models - machine-learning predictions of chronological age from brain imaging - are widely interpreted as markers of accelerated brain aging. Here we show that this interpretation cannot be ...

If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...

Background Rapamycin has demonstrated neuroprotective effects in preclinical Alzheimer’s disease (AD) models, yet clinical data remain limited. Here, we conducted a pilot trial to assess the feasibili...

Background Rapamycin has demonstrated neuroprotective effects in preclinical Alzheimer’s disease (AD) models, yet clinical data remain limited. Here, we conducted a pilot trial to assess the feasibili...

Differences in the volumes of brain structures between individuals are often linked to various conditions, including Alzheimer’s disease, schizophrenia, and overall brain health. However, it remains u...

This Perspective outlines how brain-age prediction models are increasingly applied to child and adolescent populations and examines the specific challenges this entails. It offers practical recommenda...

Purpose Current brain-dedicated positron emission tomography (PET) systems (e.g., the High-Resolution Research Tomograph, HRRT) are unable to accurately and precisely measure pharmacologically-specifi...

A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark

Abstract. In neuroimaging research, tracking individuals over time is key to understanding the interplay between brain changes and genetic, environmental, or cognitive factors across the lifespan. Yet...

A guide to set up a scientific Python project from scratch, covering version control, virtual environments, and project structure.

A guide to set up a scientific Python project from scratch, covering version control, virtual environments, and project structure.

Multimodal imaging data of 39,325 UK Biobank participants with 2,520 follow-ups provide insufficient evidence to conclude that brain age reflects the rate of anatomical brain aging. However, modality...

Predicting brain age from structural magnetic resonance images is commonly used as a biomarker of biological aging and brain health. Ideally, as a clinically valid biomarker, brain age should indicate...

Predicting brain age from structural magnetic resonance images is commonly used as a biomarker of biological aging and brain health. Ideally, as a clinically valid biomarker, brain age should indicate...

Predicting brain age from structural magnetic resonance images is commonly used as a biomarker of biological aging and brain health. Ideally, as a clinically valid biomarker, brain age should indicate...

There is a growing interest in developing drugs with a general geroprotective effect, aimed at slowing down aging. Several compounds have been shown to increase the lifespan and reduce the incidence o...

There is a growing interest in developing drugs with a general geroprotective effect, aimed at slowing down aging. Several compounds have been shown to increase the lifespan and reduce the incidence o...

YouTube video by Primer

MELBA Special Issue

Flow matching and diffusion models are two popular frameworks in generative modeling. Despite seeming similar, there is some confusion in the community about their exact connection. In this post, we a...

I developed the lecture notes based on my ``Linear Model'' course at the University of California Berkeley over the past seven years. This book provides an intermediate-level introduction to the linea...

Nature - A spatially resolved single-cell transcriptomics map of the mouse brain at different ages reveals signatures of ageing, rejuvenation and disease, including ageing effects associated with T...

Linear and nonlinear methods for estimating the BOLD response in the sensorimotor task from a large dataset show important effects of adult age on response features and biophysical parameters, some o...

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...

This seminar series aims to provide a platform for young researchers (PhD student or post-doc level) to give invited talks about their research, intending to have a diverse set of talks & speakers on ...