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UnknownMultiple Indicators of Undernutrition, Infection, and Inflammation in Lactating Women Are Associated with Maternal Iron Status and Infant Anthropometry in Panama: The MINDI Cohort.
Not available
S-EPMC9460351 | biostudies-literature
UnknownAstrocyte-derived MFG-E8 facilitates microglial synapse elimination in Alzheimer's disease mouse models.
Not available
S-EPMC11383703 | biostudies-literature
UnknownINTERGROWTH-21 Identifies High Prevalence of Low Symphysis-Fundal Height in Indigenous Pregnant Women Experiencing Multiple Infections, Nutrient Deficiencies, and Inflammation: The Maternal Infections, Nutrient Deficiencies, and Inflammation (MINDI) Cohort.
Not available
S-EPMC8053398 | biostudies-literature
UnknownSmall intestinal microbial fiber metabolism dysfunction in celiac disease.
Not available
S-EPMC12136232 | biostudies-literature
UnknownMeiotic protein SYCP2 confers resistance to DNA-damaging agents through R-loop-mediated DNA repair.
Not available
S-EPMC10881575 | biostudies-literature
Genomics473655_dataset - samples
Exome and targeted amplicon sequencing data for tumor, germline and plasma samples from a patient with metastatic breast cancer.
EGAD00001002108 | EGA
GenomicsSequencing of serial plasma and multiregional tumor samples in a patient with metastatic breast cancer
Circulating tumor DNA analysis can be used to track tumor burden and analyze cancer genomes non-invasively but the extent to which it represents metastatic heterogeneity is unknown. Here, we follow a patient with metastatic ER and HER2 positive breast cancer receiving two lines of targeted therapy o...
EGAS00001001466 | EGA
GenomicsMurtaza-Rosenfeld-Caldas Data Access Committee
Data Access Committee EGAC00001000387
EGAC00001000387 | EGA
ModelsSammut2022 - Multi-omic machine learning model to predict pathological complete response for breast cancer neoadjuvant therapy
In this publication, researchers investigated the intricate relationship between breast cancers and their microenvironment, specifically focusing on predicting treatment responses using multi-omic machine learning model. They collected diverse data types including clinical, genomic, transcriptomic, ...
2023-08-28 | BIOMD0000001075 | BioModels
Machine Learning Model FAIR-AIML 
TranscriptomicsGBM-Space: Joint Transcriptome and Chromatin Accessibility Profiling of Glioblastoma (10x Genomics - Multiome)
Cancer cells display highly heterogeneous and plastic states in glioblastoma, an incurable brain tumour. However, how these malignant states arise and whether they follow defined cellular trajectories across tumours is poorly understood. Here, we generated a deep single cell and spatial multi-omic a...
ORGANISM(S): Homo sapiens 
2026-09-12 | E-MTAB-17183 | biostudies-arrayexpress
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