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.
Machine Learning
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.
New app aimed at increasing accessibility to machine learning analysis techniques
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.
New study to help illuminate issues for aging autistic adults
A new study from researchers at the Waisman Center and The Ohio State University will investigate aging in autistic adults.
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.
New machine learning tool helps researchers demonstrate effectiveness of stem cell based models
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.
Researchers are using machine learning to understand how brain cells work
For something so small, neurons can be quite complex — not only because there are billions of them in a brain, but because their function can be influenced by many factors, like their shape and genetic makeup.
Artificial intelligence can accelerate clinical diagnosis of fragile X syndrome
An analysis of electronic health records for 1.7 million Wisconsin patients revealed a variety of health problems newly associated with fragile X syndrome.
New researcher uses machine learning to decode genomic information
Recent advances in genome sciences — the study of an organism’s complete set of DNA — present a golden opportunity to identify the genetic causes and underlying mechanisms of intellectual and developmental disabilities. These discoveries …
Andrew Alexander, PhD – Slide of the Week
The segmentation of small brain structures like the amygdala is quite challenging in the presence of distorted and abnormal anatomy from major brain injuries.