Advancing knowledge of human development, developmental disabilities, and neurodegenerative diseases.
Chenfeng He, PhD, research scientist at the Waisman Center, was recently awarded a Young Investigator Grant from the Brain and Behavior Research Foundation (BBRF). The one-year grant is intended to support early-career researchers in continuing to develop their own lines of research. He, a scientist in the lab of Waisman investigator Daifeng Wang, PhD, will …
At a Glance: A map of early brain development that captures its major drivers and their dynamics through time has been developed by Waisman Center investigators. Compiling different brain regions across three different species including humans, the new blueprint can identify the upstream regulators of brain development, evolution, and disorder risk, revealing how highly complex …
A newly funded project will combine the expertise of four Waisman Center investigators to develop advanced machine learning methods for studying brain organoids, three-dimensional cell clusters grown from stem cells that closely mimic key aspects of human brain development.
At a Glance: Understanding what a cell does starts with knowing exactly where it is. Now, a new AI-powered tool developed by researchers at the Waisman Center, University of Wisconsin–Madison, is making that task easier by combining tissue images with molecular activity data to more accurately map cell boundaries, potentially unlocking new insights into how …
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.
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.
There are thousands if not millions of steps to get from genotype, your genetic code, to phenotype, your physical attributes.
A new app developed at the Waisman Center makes it easier than ever for researchers to use machine learning techniques to analyze large complex data sets without specialized or specific training.
Today, many researchers are using brain organoids – miniaturized and simplified versions of organs produced in a dish typically from stem cells – as analogs for studying the development of the human brain.
