Academic Awards

  How important data science modeling is in the field of  Artificial Intelligence (AI) . Today, AI has transformed industries by automating processes, improving decision-making, and enabling innovative solutions. At the heart of this transformation is data science modeling, the cornerstone of building effective AI systems. What is Data Science Modeling Data science modeling involves creating mathematical algorithms to analyze, interpret, and predict outcomes based on large datasets. It combines statistical techniques, machine learning algorithms, and computational power to uncover hidden patterns in data. Without effective data science modeling, AI systems wouldn't be able to learn, adapt, or make intelligent decisions. Future of Data Science Modeling in AI The future of AI heavily relies on advancements in data science modeling. Emerging technologies, such as automated machine learning (AutoML) and deep learning models, continue to enhance the accuracy and effectiveness of AI...

A drug-resistant strain of bacteria inhabiting hospital settings has evolved to utilize an antimicrobial genetic tool. Vancomycin-resistant Enterococcus faecium (VREfm) is responsible for many lethal infections and has been shown by researchers at the University of Pittsburgh (UPitt) to be equally lethal to other bacterial species. The findings, published in Nature Microbiology in a study titled, “ Bacteriocin production facilitates nosocomial emergence of vancomycin-resistant Enterococcus faecium,” suggest that VREfm have the ability to produce bacteriocin, an antimicrobial that can kill or inhibit other bacteria. “Our lab has a front-row seat to the parade of pathogens that move through the hospital setting,” said senior author Daria Van Tyne, PhD, associate professor of medicine in UPitt’s Division of Infectious Diseases. The Enhanced Detection System for Healthcare-Associated Transmission (EDS-HAT) was developed at UPitt and the University of Pittsburgh Medical Center (UPMC) to tra...