Imagine trying to navigate a vast and ever-changing landscape without a map. That’s the challenge researchers face when trying to predict the progression of Parkinson’s disease (PD). With its wide range of symptoms and lack of reliable markers, PD can be unpredictable. But now, a team of scientists has developed a new approach using the […]
Published on February 21, 2023
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