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UnknownInduced Pluripotent Stem Cell-Derived Fibroblasts Efficiently Engage Senescence Pathways but Show Increased Sensitivity to Stress Inducers.
Not available
S-EPMC11119907 | biostudies-literature
UnknownClinical- and Cost-Effectiveness of Liver Disease Staging in Hepatitis C Virus Infection: A Microsimulation Study.
Not available
S-EPMC11848265 | biostudies-literature
UnknownDiverse Humoral Immune Responses in Younger and Older Adult COVID-19 Patients.
Not available
S-EPMC8262923 | biostudies-literature
UnknownSynergistic inhibition of glioma cell proliferation by Withaferin A and tumor treating fields.
Not available
S-EPMC5711586 | biostudies-literature
GenomicResearch Program on Genes, Environment and Health (RPGEH)

The Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH) is a resource developed to facilitate research on genetic and environmental factors on common diseases and healthy aging. The RPGEH resource links biospecimens, health surveys, and comprehensive electronic medical re...

phs000788 | dbGaP
UnknownMitochondrial NADP(H) generation is essential for proline biosynthesis.
Not available
S-EPMC8241437 | biostudies-literature
TranscriptomicsRNA Seq analysis of thyroid tumors and adjacent non tumoral tissues of Ukrainian patients exposed or not to Chernobyl radioiodines
We compared the molecular specificities of tumours developed in Ukrainian subjects exposed or not to radioiodines during the Chernobyl accident. Exposed subjects are associated with estimated high thyroid doses (0.58 to 4.5 Gy) known to be associated with an increased risk of developing radiation-in...
ORGANISM(S): Homo sapiens 
2026-02-24 | E-MTAB-15168 | biostudies-arrayexpress
UnknownContinuing a search for a diagnosis: the impact of adolescence and family dynamics.
Not available
S-EPMC9830697 | biostudies-literature
UnknownA Within-Individual Examination of the Predictors of Gun Carrying During Adolescence and Young Adulthood Among Young Men.
Not available
S-EPMC8417009 | biostudies-literature
UnknownAutomated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiograms.
Not available
S-EPMC12805298 | biostudies-literature
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