Gaudenz Danuser, Ph.D.

AIMBE College of Fellows Class of 2018
For pioneering development of computer vision methods to analyze biomedical images to answer fundamental questions in cell biology.

UT Southwestern study: Cell membrane ‘blebs’ could hold new targets for anti-cancer drugs

Via UT Southwestern Medical Center | March 3, 2023

Cell membrane protrusions called blebs that typically signify the end of life for healthy cells do the opposite for melanoma cells, activating processes in these cells that help them to survive and spread, a UT Southwestern study suggests. The findings, published in Nature, could lead to new ways to fight melanoma and potentially a broad range of other cancers.

“Our old adage in biology is that form follows function. But here, we’re flipping that concept on its head. By changing the form, we’re showing that you can change chemical processes inside the cell that control their functions,” said Gaudenz Danuser, Ph.D., Chair of the Lyda Hill Department of Bioinformatics and Professor of Cell Biology at UTSW. Dr. Danuser co-led the study with Andrew D. Weems, Ph.D., an Instructor of Bioinformatics and in the Danuser lab… Continue reading.

Artificial intelligence algorithm developed to assess metastatic potential in skin cancers

Via UT Southwestern Medical Center | August 3, 2021

Using artificial intelligence (AI), researchers from UT Southwestern have developed a way to accurately predict which skin cancers are highly metastatic. The findings, published as the July cover article of Cell Systems, show the potential for AI-based tools to revolutionize pathology for cancer and a variety of other diseases.

“We now have a general framework that allows us to take tissue samples and predict mechanisms inside cells that drive disease, mechanisms that are currently inaccessible in any other way,” said study leader Gaudenz Danuser, Ph.D., Professor and Chair of the Lyda Hill Department of Bioinformatics at UTSW… Continue reading.

A UT Southwestern Machine Learning Algorithm Finds COVID-19 Cases Significantly Higher Than Reported

Via Dallas Innovates | February 8, 2021

Researchers in the Lyda Hill Department of Bioinformatics have estimated that the amount of COVID-19 cases is nearly triple those confirmed in the U.S.

While it has long been speculated that the number of COVID-19 cases is significantly higher than those reported, a new machine learning algorithm created by UT Southwestern Medical Center researchers from the Lyda Hill Department of Bioinformatics confirms this theory.

According to the algorithm, over 71 million people in the U.S. have contracted the virus. This number is almost three times as much as the 26.7 million publicly-reported number of confirmed cases, according to Jungsik Noh, Ph.D., a UT Southwestern assistant professor in the Lyda Hill Department of Bioinformatics… Continue reading.

How cancer cells stiff-arm normal environmental cues to consume energy

Via Science Daily | March 31, 2020

Using human lung cancer cells, UT Southwestern researchers have uncovered how cells in general modulate their energy consumption based on their surroundings and, furthermore, how cancer cells override those cues to maximize energy use. The findings, published this week in Nature, extend a report from last year in which the same group discovered that the cell’s skeleton can promote cancer cell growth in metastasis or when under chemotherapy assault.

“Cancer cells experience variable mechanical conditions during tumor growth and spread, so we wondered whether the mechanical conditions also affect glycolysis — the cell’s energy use. Enhanced glycolysis is a hallmark of cancer,” says Gaudenz Danuser, Ph.D., a professor of cell biology and chair of the Lyda Hill Department of Bioinformatics… Continue reading.

Dr. Gaudenz Danuser Inducted into Medical and Biological Engineering Elite

Via AIMBE | April 10, 2018

WASHINGTON, D.C.—The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Gaudenz Danuser, Ph.D., Patrick E. Haggerty Distinguished Chair in Basic Biomedical Science CPRIT Scholar of Cancer Research, Departments of Bioinformatics and Cell Biology, University of Texas Southwestern Medical Center, to its College of Fellows. Dr. Danuser was nominated, reviewed, and elected by peers and members of the College of Fellows for pioneering development of computer vision methods to analyze biomedical images to answer fundamental questions in cell biology.