Neurodynamic correlates of response inhibition from emerging to mid adulthood.
Sign Up to like & getrecommendations! Published in 2017 at "Cognitive development"
DOI: 10.1016/j.cogdev.2017.03.002
Abstract: Response inhibition, a key executive function, continues to develop in early adulthood in parallel with maturational processes of the underlying prefrontal regions known to support it. The current study examined behavioral and neurophysiological correlates of… read more here.
Keywords: response; response inhibition; early 30s; adulthood ... See more keywords
Pharmacodynamics and molecular correlates of response to glofitamab in relapsed/refractory non-Hodgkin lymphoma
Sign Up to like & getrecommendations! Published in 2021 at "Blood Advances"
DOI: 10.1182/bloodadvances.2021005954
Abstract: Key Points Glofitamab induced dose-dependent induction of cytokines and T-cell margination, proliferation, and activation in peripheral blood. Tumor cell intrinsic factors (eg, TP53 and MYC signaling) are associated with resistance to glofitamab. read more here.
Keywords: pharmacodynamics molecular; molecular correlates; correlates response; glofitamab ... See more keywords
Correlates of response to anti-PD-1 immune checkpoint blockade (ICB) in mismatch repair proficient (MMRp) and deficient (MMRd) patients (pts) with metastatic castration resistant prostate cancer (mCRPC).
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2018.36.15_suppl.5036
Abstract: 5036Background: Predictive biomarkers are needed to improve the proportion of pts with mCRPC that may benefit from anti-PD-1/PD-L1 ICB. A comprehensive characterization of both genomic alterations ... read more here.
Keywords: checkpoint blockade; immune checkpoint; blockade icb; anti immune ... See more keywords
Genomic correlates of response to PD-1 axis inhibitors (IO) in metastatic urothelial cancer (mUC) using explainable artificial intelligence (AI).
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2020.38.6_suppl.570
Abstract: 570Background: AI is increasingly being used in clinical cancer genomics research. Probabilistic Graphical Models (PGMs) are AI algorithms that capture multivariate, mutli-level dependencies in com... read more here.
Keywords: genomic correlates; axis inhibitors; inhibitors metastatic; cancer ... See more keywords