machine learning

Daifeng Wang and Xinyu Zhao Awarded new R01

Posted on

Congratulations to MPIs Daifeng Wang and Xinyu Zhao on the award of a new R01 titled “Machine learning tools to evaluate hiPSC organoid modeling of human brain development.” This work has the potential to expand …

D. Wang and T. Lu – New Algorithm to Advance Neurodevelopmental Research

Posted on

Drs. Daifeng Wang and Tianyuan Lu, and their students, along with Wang Lab alumnus Jerome Choi, PhD, developed a new machine learning algorithm called COSIME, which was published in Nature Machine Intelligence. The manuscript is …

Juan Caicedo profiled in Morgridge SPARK newsletter

Posted on

Assistant Professor and Morgridge Investigator Juan Caicedo is featured in the December 2023 SPARK newsletter published by the Morgridge Institute for Research. The profile describes his interest in using AI to develop “an image processing …

Machine learning algorithm to improve estimation and integration of single-cell data

Posted on

Assistant Professor Daifeng Wang, with research group members Noah Cohen Kalafut and Xiang Huang, published a paper titled “Joint variational autoencoders for multimodal imputation and embedding” in Nature Machine Intelligence on May 29. The algorithm, …

Associate Professor Tony Gitter featured in Cap Times AI article

Posted on

Associate Professor Tony Gitter was featured in an article published by the Capital Times that discusses artificial intelligence (AI) and its application to biomedical research. https://madison.com/ct/news/local/education/researchers-uw-educators-see-a-bright-future-for-ai-in-health-care/article_e000507c-1f33-5a53-ac2d-44541ad8fad2.html/?&logged_out=1

BMI Professor Vikas Singh Co-PI on Beckman Foundation award to develop smart lightsheet technology

Posted on

Professor Vikas Singh is co-Principal Investigator on a new 5-year, $1.2 million award from the Arnold and Mabel Beckman Foundation to the Morgridge Institute for Research. The project, led by Morgridge Investigators Jan Huisken and …