Children between 4-7 years old with a diagnosis of autism spectrum disorder are invited to participate in our new study about autism and ADHD. Families will be asked to visit the Waisman Center once per …
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Barbara B. Bendlin, PhD – Slide of the Week
White matter (WM) degeneration is a critical component of early Alzheimer’s disease (AD) pathophysiology.
The Waisman Center’s signature research project looks deeply at the connections between autism and ADHD
Josh loves coming to the Waisman Center. He has told his mom Julia several times that he particularly enjoys the two-day visits because he gets to spend more time at the center. His brain is special so it is cool that the scientists want to study it, he tells Julia.
Nancy Saevang recognized among Wisconsin’s Most Influential Asian American Leaders for 2023
Nancy is director of the Waisman Early Childhood Program at the University of Wisconsin-Madison, leading a staff of 17 caring for about 100 children aged 12 months to eight years.
Artificial intelligence: A real tool for advancing research on intellectual and developmental disabilities and beyond
AI collects big data and uses computer algorithms to search patterns that are present in your daily life.
Carlos Benítez-Barrera, PhD – Slide of the Week
Cultural differences in environmental auditory ecology are usually studied using geographic area monitoring.
New research expands understanding of impact of rapamycin on fragile X syndrome
Fragile X syndrome (FXS) is the most common heritable form of intellectual and developmental disability. It is also the most common single genetic contributor to autism spectrum disorder (ASD).
Rebecca Alper, PhD – Slide of the Week
Using a community-based participatory research framework, we piloted Duet, a preventative, parent-implemented, early language intervention.
Andrew Alexander, PhD – Slide of the Week
Imaging-based quantitative measures from diffusion-weighted MRI (dMRI) offer the ability to non-invasively extract microscopic information from human brain tissues.
New machine learning algorithm improves estimation and integration of single-cell data
Like a game of Wheel of Fortune, where you have to fill in missing letters to guess the hidden phrase, analyzing data sometimes requires estimating missing data points by relying on available information in order to get the full picture of what’s being studied.