Just as detectives use clues to solve mysteries, researchers use computational methods to uncover the genes behind diseases like Alzheimer’s and Parkinson’s. In this study, scientists introduced a prediction method called preserving structure network embedding (PSNE). They constructed a complex network by combining disease-gene associations, human protein networks, and disease-disease associations. By extracting low-dimensional features […]
Published on February 21, 2023
Imagine being able to predict with remarkable accuracy whether a patient will require a massive blood transfusion during liver transplantation. In a groundbreaking study, researchers used machine learning models to accomplish just that. By analyzing data from multiple medical centers, the study aimed to advance the prediction of this high-risk event. The models were trained […]
Published on February 21, 2023
IntroductionPostural instability increases with age and is exacerbated in neurological disorders such as Parkinson’s disease (PD). Reducing the base of support from bipedal to unipedal stance increases center of pressure (CoP) parameters and intermuscular coherence in lower-leg muscles of healthy older adults. To further develop an understanding of postural control in an altered state of […]
Published on February 20, 2023
