BMI faculty Daifeng Wang and Irene Ong, along with BMI affiliate faculty Majid Afshar and Pallavi Tiwari, are profiled for their research using AI to advance medical research.
Publication
BMI Research Paper Highlighted in All of Us publication
Congratulations to Guanhua Chen, Zhengzheng Tang, BDS alumnus Jifan Gao, and collaborators on having a recently published paper highlighted in the “All of Us Research Highlights” series. This paper was selected because of its public …
Spencer Halberg (Roy Lab) – publication and cover of Nucleic Acids Research
Spencer Halberg of Sushmita Roy’s lab is co-first author on a paper titled “A network-based model of Aspergillus fumigatus elucidates regulators of development and defensive natural products of an opportunistic pathogen” that was published in Nucleic …
AI News: Christina Kendziorski’s lab reports new multi-agent LLM for cell annotation
BMI Professor Christina Kendziorski and her lab report CASSIA, a new multi-agent large language model for automated and interpretable cell annotation in Nature Communications. Large-language models have potential to improve cell annotation, but face challenges, …
D. Wang and T. Lu – New Algorithm to Advance Neurodevelopmental Research
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 …
Qiongshi Lu and team propose a statistical method to guarantee the reliability of AI-assisted GWAS
Associate Professor Qiongshi Lu and colleagues were highlighted in a Nature Genetics article for their work on the perils of relying on AI to predict complex traits and disease risks with genome-wide association study (GWAS) data, …
Miao and Lu – First and Last Author Paper in Nature Genetics
Congratulations to Jiancheng Miao (1st author) and Qiongshi Lu (last author) for a paper published online September 30 in Nature Genetics. The paper, titled “Valid inference for machine learning-assisted genome-wide association studies” offers a robust …
Roy – Computational Approach to Uncovering Gene Networks of Cell Fate
Nature Communications published a paper by BMI Professor and WID Investigator Sushmita Roy and graduate student Shilu Zhang that describes a computational tool called scMTNI, which will allow researchers to construct a more precise view …
Roy lab contributes to understanding early spinal cord development
Associate Professor Sushmita Roy and her lab are part of a team at the Stem Cell and Regenerative Medicine Center that is developing ways to turn stem cells into specific types of spinal cord neurons …
Elicieri wins highly cited researcher award for second time
Kevin Elicieri, PhD, BMI affiliate, is one of 11 UW-Madison researchers to win a highly cited researcher award from the Institute for Scientific Information. This is his second appearance on this list. The 2021 award …