Building Predictive Models for Neurodegenerative Diseases

Our Goal

Our lab is focused on developing new, minimally invasive tools for rapid and accurate diagnosis of neurodegenerative diseases during the pre-symptomatic phases and predicting of outcomes during the acute phase of ischemic strokes.

As part of the NeuroGenomics and Informatics Center we aim to understand the biology of neurodegenerative diseases by using high-dimensional omics data, deeply phenotyped samples, and functional approaches.

Why predictive models?

Neurodegeneration is unrelenting, currently incurable, and in many cases impossible to diagnose before symptom onset. We rely on forensic neuropathology for definitive diagnosis, but this is impractical due to the poor accessibility of brain pathological tissue. Cerebrospinal fluid (CSF) protein levels and imaging techniques are widely employed as biomarkers for neurodegeneration. However, both have limitations: they can be invasive and inconvenient for patients and are highly resource-intensive.

Stroke is an acute event caused by the occlusion of an artery in the brain, resulting in the abrupt development of cerebral ischemia and neurological deficits. During the first hours, the neurological deficits are highly unstable and it is difficult to predict who will improve and who will deteriorate. Or even more important, who will benefit from the mechanic or pharmacological treatment and who will not.

Diversity and Inclusion Commitment

The Ibanez Lab is committed to the recruitment and education of students from all backgrounds. We promote an inclusive environment, discuss diversity issues honestly, represent all people in our research and help members of the lab to accomplish their goals.

We embrace the diversity of all members. We believe that today’s diverse population is what allows teams to thrive. Diversity is an added value, providing multiple points of view both scientifically and personally. In our lab, we commit to equal treatment among the trainees and colleagues regardless of background, disability, sexual identity, race, ethnicity, immigration status, national origin, religion, socio-economic status, or medical condition. We believe that a diverse environment leads to more creative and productive work-places which helps improve our research and, in the long term, the patients.

We support increasing the representation of women and under-represented minorities in scientific research.

Hope Center Retreat 2023

Donald Danforth Plant Science Center, Apr 18th 2023


We would like to thank the patients, families, health care employees, bio-banks, data repositories and funding agencies that make our research possible