Machine learning can refine models of environmental suitability and ecological associations for invasive quagga mussels
Sign Up to like & getrecommendations! Published in 2025 at "Ecosphere"
DOI: 10.1002/ecs2.70425
Abstract: Dreissenid mussels are among the most prolific aquatic invasive species globally, damaging water industry infrastructure, altering freshwater ecosystem functioning, and costing the global economy millions of US dollars annually. Extensive research has been conducted to… read more here.
Keywords: models environmental; learning refine; machine learning; machine ... See more keywords
Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication
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DOI: 10.1097/tp.0000000000004107
Abstract: The measurement of outcomes in kidney transplantation has been more accurately documented than almost any other surgical procedure result in recent decades. With significant improvements in short- and long-term outcomes related to optimized immunosuppression, outcomes… read more here.
Keywords: learning refine; machine learning; composite endpoints; transplantation ... See more keywords