Long-term fairness in multi-cell networks using rate predictions

2013 ◽  
Author(s):  
Hatem Abou-zeid ◽  
Hossam S. Hassanein ◽  
Nizar Zorba
Keyword(s):  
Cell Networks

scholarly journals Immune cell networks uncover candidate biomarkers of cancer immunotherapy response

2021 ◽  
Author(s):  
Duong H.T. Vo ◽  
Gerard McGleave ◽  
Ian M. Overton
Keyword(s):  
Immune Cell ◽  
Checkpoint Inhibitors ◽  
Cell Types ◽  
Tumour Microenvironment ◽  
Significant Advance ◽  
Specific Analysis ◽  
Context Specific ◽  
The Relationship ◽  
Cell Networks

AbstractTherapeutic activation of antitumour immunity by immune checkpoint inhibitors (ICIs) is a significant advance in cancer medicine, not least due to the prospect of long-term remission. However, many patients are unresponsive to ICI therapy and may experience serious side effects; companion biomarkers are urgently needed to help inform ICI prescribing decisions. We present the IMMUNETS networks of gene coregulation in five key immune cell types, and application to interrogate control of nivolumab response in advanced melanoma cohorts. Results evidence a role for each of the IMMUNETS cell types in ICI response and in driving tumour clearance with independent cohorts from TCGA. As expected, ‘immune hot’ status, including T cell proliferation, confers good response to first line ICI therapy. Genes regulated in NK, dendritic and B cells are the most prominent discriminators of nivolumab response in patients that had previously progressed on another ICI. Multivariate analysis controlling for tumour stage and age highlights B cell genes as candidate prognostic biomarkers. IMMUNETS provide a resource for network biology, enabling context-specific analysis of immune components in orthogonal datasets. Overall, our results illuminate the relationship between the tumour microenvironment and clinical trajectories, with potential implications for precision medicine.

scholarly journals Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks

2020 ◽  
Vol 68 (5) ◽  
pp. 3173-3186
Author(s):  
Xiongwei Wu ◽  
Qiang Li ◽  
Xiuhua Li ◽  
Victor C. M. Leung ◽  
P. C. Ching
Keyword(s):  
Content Delivery ◽  
Small Cell ◽  
Short Term ◽  
Small Cell Networks ◽  
Cell Networks

Therapy and prevention for mental health: What if mental diseases are mostly not brain disorders?

2019 ◽  
Vol 42 ◽  
Author(s):  
John P. A. Ioannidis
Keyword(s):  
Mental Health ◽  
Mental Disease ◽  
Brain Disorders ◽  
Social Stressors ◽  
Labor Education ◽  
Mental Diseases ◽  
Long Term Follow Up ◽  
Political Decisions

AbstractNeurobiology-based interventions for mental diseases and searches for useful biomarkers of treatment response have largely failed. Clinical trials should assess interventions related to environmental and social stressors, with long-term follow-up; social rather than biological endpoints; personalized outcomes; and suitable cluster, adaptive, and n-of-1 designs. Labor, education, financial, and other social/political decisions should be evaluated for their impacts on mental disease.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

Sign in / Sign up

Export Citation Format

Share Document