Brain Waves and Machine Learning Join Forces to Tell Alzheimer’s and FTD Apart
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
A new Nature Reviews Neurology roadmap charts how blood-based molecular biomarkers of brain injury, metabolism, inflammation and gut dysbiosis could ...
A sweeping review of human neuropathological evidence shows that misfolded SOD1, long tied to familial ALS, coexists with TDP-43, tau, ...
A seven-year Dutch study shows that a single baseline blood measurement of neurofilament light chain predicts the pace of spinal ...
A four-week follow-up study of 70 patients with bipolar mania found that changes in total antioxidant capacity significantly predicted symptomatic ...
A new review in Medical Oncology details how liquid biomarkers, advanced imaging, and artificial intelligence are transforming pre-biopsy discrimination of ...
A reanalysis of the MIROCALS trial shows that the TRICALS clinical risk score adds useful prognostic information in ALS but ...
Using 4D label-free proteomics, researchers identified 33 differentially expressed proteins in follicular fluid from patients with polyendocrine metabolic ovarian syndrome, ...
Repeated pre-diagnostic blood donations from Danish donors reveal that longitudinal metabolite trajectories, particularly declining hippuric acid, predict osteoporosis one to ...
Secondary results from the ECOG-ACRIN CompassHER2-pCR trial identify clinical and molecular factors, including HER2DX genomic scores, that predict which stage ...
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© 2025 Scienmag - Science Magazine