Results 51 to 60 of about 11,200,376 (224)
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren+16 more
wiley +1 more source
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink+6 more
wiley +1 more source
A MODEL FOR THE STUDY OF QUANTITATIVE INHERITANCE [PDF]
Virgil L. Anderson, Oscar Kempthorne
openalex +1 more source
Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi+3 more
wiley +1 more source
Implications of the Direct-Interaction Model for Nuclear Structure [PDF]
Kenneth Watson
openalex +1 more source
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker+14 more
wiley +1 more source
Automated Statistical Model Discovery with Language Models [PDF]
Statistical model discovery is a challenging search over a vast space of models subject to domain-specific constraints. Efficiently searching over this space requires expertise in modeling and the problem domain. Motivated by the domain knowledge and programming capabilities of large language models (LMs), we introduce a method for language model ...
arxiv
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics [PDF]
Physical modeling of robotic system behavior is the foundation for controlling many robotic mechanisms to a satisfactory degree. Mechanisms are also typically designed in a way that good model accuracy can be achieved with relatively simple models and model identification strategies.
arxiv
ON THE MACROMOLECULAR STRUCTURE OF DEOXYRIBONUCLEIC ACID: AN INTERRUPTED TWO-STRAND MODEL [PDF]
Cees Dekker, H. K. Schachman
openalex +1 more source