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.
Utilizing AI to better understand the genotype-phenotype connection
There are thousands if not millions of steps to get from genotype, your genetic code, to phenotype, your physical attributes.
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 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.