Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202204717
Abstract: Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in differentiating individuals with Alzheimer's disease (AD). However, the value of DL in detecting progressive structural MRI (sMRI) abnormalities linked to… read more here.
Keywords: alzheimer disease; progression; brain; mri ... See more keywords
Somatic mutation-associated risk index based on lncRNA expression for predicting prognosis in acute myeloid leukemia
Sign Up to like & getrecommendations! Published in 2022 at "Hematology"
DOI: 10.1080/16078454.2022.2056677
Abstract: ABSTRACT Objectives: Genomic instability has several implications for acute myeloid leukemia (AML) prognosis. This article aims to construct a somatic mutation-associated risk index (SMRI) of genomic instability for AML to predict prognosis and explore the… read more here.
Keywords: prognosis; leukemia; analysis; risk ... See more keywords
RTHP-01. SPECTROSCOPIC MRI PREDICTS RECURRENCE PATTERNS IN GLIOBLASTOMA.
Sign Up to like & getrecommendations! Published in 2017 at "Neuro-oncology"
DOI: 10.1093/neuonc/nox168.886
Abstract: AbstractRadiation therapy (RT) targeted by conventional MRI may not fully identify the tumor profile of (GBM), which may in part account for high recurrence rates. Identifying the extent of GBM margins remains a challenging task… read more here.
Keywords: spectroscopic mri; recurrence; smri; mri ... See more keywords