Through
9/15
Researchers across Penn have developed an artificial intelligence tool for mining genetic elements from ancient molecules to discover new antibiotics.
Penn Vet researchers reveal the gene expression across the life cycle of Cryptosporidium and identify the determinant of maleness.
Researchers Mari Kawakatsu, Taylor A. Kessinger, and Joshua B. Plotkin in Penn’s Department of Biology developed a model incorporating two forms of gossip to study indirect reciprocity.
The fourth-year distance swimmer discusses swimming 11,000 yards a day, competing at the NCAA Championships, learning to dive from watching Michael Phelps, her interest in coral reef restoration, and getting circled by a shark.
Theoretical biologists from Penn test two modes of social reasoning and find surprising truths in simplicity.
Penn Upward Bound high school students from West Philadelphia got a tour of the Penn Smart Aviary, GRASP Lab, and the Penn Vet Working Dog Center during a visit to Pennovation Works.
Researchers shed light on archea, a single cell microorganism, to discover how proteins determine what shape a cell will take and how that form may function.
Researchers from Penn and Princeton develop a model to evaluate how reputation and indirect reciprocity affects cooperative behaviors.
In a new study, biology and psychology researchers show how existing color vocabularies constrain future options for efficient color vocabularies.
Over a decade, researchers from Penn studied coral species in Hawaii to better understand their adaptability to the effects of climate change.
Dustin Brisson and postdoc Raquel Gonçalves of the School of Arts & Sciences and colleagues are studying tick life cycles to better understand how they transmit diseases.
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César de la Fuente of the School of Engineering and Applied Science and Perelman School of Medicine and colleagues are using AI algorithms to find antibiotics in extinct animal species.
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A study by Ben Black of the Perelman School of Medicine and colleagues used a new technique for synthesizing chromosomes to introduce panels of genes into disease models, facilitating drug testing.
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A study by César de la Fuente of the School of Engineering and Applied Science and Perelman School of Medicine used machine learning to predict potential new antibiotics in the global microbiome.
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A paper by Katelyn A. Walzer and Boris Striepen of the School of Veterinary Medicine reveals the gene expression of the parasite cryptosporidium across its life cycle.
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Researchers led by Scott Hensley of the Perelman School of Medicine have collaborated with Drew Weissman to develop an mRNA vaccine to treat the H5N1 avian flu.
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