Developmental markers have the potential to make diagnosing autism in individuals with Down syndrome easier

Down syndrome, a neurodevelopmental condition caused by a triplicated 21st chromosome, often presents with co-occurring developmental conditions such as autism. But diagnosing autism in someone with Down syndrome can be difficult as they have overlapping symptoms.

Not lost in translation: New research finds that kids can learn easily from codeswitched language

Codeswitching–when someone switches between two or more languages while speaking–is a very common phenomenon in people who are bilingual. ‘Spanglish’ is a well-known example of codeswitching as it is a colloquial term for speaking in a mix of Spanish and English.

Understanding why individuals with disabilities continue to be left out of health research

Individuals with disabilities face significant health disparities, yet remain underrepresented in health research. There is substantial evidence that individuals with intellectual and developmental disabilities are systematically excluded from health research, even when it involves a condition that disproportionately impacts them.

Early adversity strongly predicts adult mental health challenges in people with Down syndrome, new study finds

A new Waisman study found that adverse childhood experiences (ACEs)—such as abuse, neglect, or exposure to household challenges—can have lasting effects on adults with Down syndrome, including their mental health and ability to cope with life changes. While ACES are known to impact the general population, this research is among the first to show similar—and in some cases heightened—effects in individuals with Down syndrome.

In memoriam, Paul Rathouz, former Waisman executive team member and collaborator

Paul Rathouz, PhD, former Chair of the Department of Biostatistics and Medical Informatics, passed away from complications of multiple myeloma on Wednesday afternoon, December 10, 2025. Paul served with distinction as the chair of the Department of Biostatistics and Medical Informatics from 2010-2017. He will be missed by those who knew him.

New algorithm helps decipher complex biological data to advance neurodevelopmental research

A new machine learning algorithm developed at UW-Madison is helping researchers untangle a complex puzzle: the molecular mechanisms behind developmental disabilities and neurodegenerative diseases. COSIME, created by the lab of Waisman investigator Daifeng Wang, PhD, associate professor of biostatistics and medical informatics, and computer sciences, offers a powerful new way to integrate and interpret multiple types of biological data which can give scientists a clearer view of how different cellular clues come together to shape disease outcomes.

New research reinforces the link between a cellular quality control system and rare forms of autism

Just like a car factory relies on inspectors to ensure that every vehicle is built correctly, cells depend on internal quality control systems to keep proteins functioning as they should. New research from Waisman Center investigator Luigi Puglielli, MD, PhD, professor of medicine at the University of Wisconsin-Madison, reveals that disruptions in one such system—the endoplasmic reticulum’s acetylation pathway—can lead to rare forms of autism and progeria, offering fresh insights into the cellular roots of these complex conditions.

Integrating trauma awareness into early language support

Learning language in early childhood occurs through interaction between children and their caregivers. It is a foundational process that allows children to participate in social interactions, learn from the world, and develop other essential skills such as literacy. Having a language delay or disorder is associated with greater risk for experiencing trauma and vice versa. Furthermore, children’s and caregivers’ trauma histories can impact their individual strengths and needs related to participation in early language intervention.

Meet ARTEMIS: The new AI helping researchers reconstruct the hidden stories of cell development

Building a complete developmental trajectory of cells is close to impossible with today’s technology, but new technology developed at the Waisman Center is taking scientists a step closer to achieving it. Machine learning, a form of artificial intelligence, can step in to help fill in the gaps.