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University of Southern California


Making 3-D printing smarter with machine learning

Researchers at USC Viterbi School of Engineering develop machine learning algorithms to predict shape deviations in 3-D printing, resulting in improved accuracy across various applications and materials. The software tool, PrintFixer, is designed to be accessible to industry professionals and hobbyists alike.

SourceUniversity of Southern California·JournalIEEE Transactions on Automation Science and Engineering·DateFeb 11, 2020

USC stem cell scientists reveal key differences in how kidneys form in men and women

Researchers have discovered significant differences in gene expression between male and female mouse kidneys, shedding light on the organ's complex physiology and potential impact on human kidney disease. The study's findings may help clinicians better understand genetic programs linked to disease and improve treatment outcomes.

SourceUniversity of Southern California·JournalDevelopmental Cell·DateNov 4, 2019

Catastrophic events carry forests of trees thousands of miles to a burial at sea

Research team finds wood chips from ancient trees dating back 19 million years in ocean core samples, revealing a previously unrecognized way carbon remains locked away for millions of years. The discovery suggests that the amount of carbon exported and buried by modern rivers may be 50% greater than previously thought.

SourceUniversity of Southern California·JournalProceedings of the National Academy of Sciences·DateOct 21, 2019

Treatment for 'low T' could someday come from a single skin cell, USC research shows

USC researchers have successfully grown human testosterone-producing cells in the lab, paving the way to treat low testosterone with personalized replacement cells. The breakthrough could potentially bypass side effects associated with current treatments, such as infertility and increased risk of prostate cancer.

SourceUniversity of Southern California·JournalProceedings of the National Academy of Sciences·DateOct 7, 2019

Researchers find antibiotic resistant genes prevalent in groundwater

Researchers found ubiquitous presence of antibiotic resistant genes (ARGs) in groundwater samples, despite advanced treatment facility reducing ARGs to below detection limits. The study highlights the need for interdisciplinary approaches to address the global spread of antibiotic resistance and ensure clean water supply.

SourceUniversity of Southern California·JournalEnvironmental Science & Technology Letters·DateOct 4, 2019

Can AI spot liars?

Researchers at USC Institute for Creative Technologies found that spontaneous facial expressions are often context-dependent and do not accurately reveal intentions. The study challenges the assumption that facial expressions can be used to predict feelings and actions.