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In a recent systematic review, a team of researchers led by Yuexing Hao, a Ph.D. candidate in human centered design, found that while Large Language Models (LLMs) have the potential to help cancer patients and clinicians make decisions about care, the models’ average accuracy remains low and current limitations pose potential risks to patients.

The team reviewed 56 papers, with an overall model accuracy of just 76.2%, with average diagnostic accuracy of 67.4%

Human Centered Design Ph.D. students Wenjia Zong and Yoon Yang took their start-up business, Lacuna Technology, to phase one of the eLab—an accelerator program for student startups. “We are trying to develop an algorithm to create better patterns based on body shape,” said Zong, Lacuna’s chief executive officer, who is studying with Fatma Baytar, assistant professor of Human Centered Design and director of the Fashion and Body Tech Lab.

Lacuna Technology is developing a