IntroductionIdentification of Alzheimer’s Disease (AD)-related transcriptomic signatures from blood is important for early diagnosis of the disease. Deep learning techniques are potent classifiers for AD diagnosis, but most have been unable to identify biomarkers because of their lack of interpretability.MethodsTo address these challenges, we propose a pathway information-based neural network (PINNet) to predict AD patients […]
Published on July 14, 2023
IntroductionPrediction of post-stroke functional outcome is important for personalized rehabilitation treatment, we aimed to develop an effective nomogram for predicting long-term unfavorable functional outcomes in ischemic stroke patients after acute phase.MethodsWe retrospectively analyzed clinical data, rehabilitation data, and longitudinal follow-up data from ischemic stroke patients who underwent early rehabilitation at multiple centers in China. An […]
Published on July 14, 2023
In the quest to understand and combat Alzheimer’s and Parkinson’s diseases, researchers are exploring disease-modifying targets and strategies. It’s like detectives trying to crack a complex code! By identifying these targets, scientists hope to find ways to slow, stop, or even reverse the progression of these neurodegenerative diseases. Just like cracking a code requires unraveling […]
Published on July 14, 2023
