Results 161 to 170 of about 764,785 (295)
The Non-Coding RNA Ontology : a comprehensive resource for the unification of non-coding RNA biology [PDF]
In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification.
Alan, Ruttenberg +9 more
core
RENAL‐CHIP converts 1 mL of peripheral blood into a biopsy‐equivalent readout of renal‐allograft fate. By magnetic capture and release of donor‐derived circulating podocytes through a herringbone microfluidic chip, 84% capture, 96% release and single‐cell RNA evidence of rejection‐specific immunity are achieved.
Juan Song +11 more
wiley +1 more source
Background Information technology has the potential to increase the pace of scientific progress by helping researchers in formulating, publishing and finding information.
Samwald Matthias, Stenzhorn Holger
doaj +1 more source
Liquid Metal Nanotransformers for Drug‐Resistant Pan‐Cancer Therapy in Patient‐Derived Organoids
Pan‐cancer therapies are severely limited in drug‐resistance patients due to genetic mutations and other factors, resulting in poor therapeutic outcomes and constrained clinical benefit. Liquid metal nanotransformers, a new class of shape‐transformable nanomaterials capable of dramatic morphological changes, offer a promising physical strategy to ...
Xiaojie Yuan +19 more
wiley +1 more source
Adopting Ontologies: Sustainable Research Reusing the Biomedical Resource Ontology
The FAIR principles have been adopted across scientific disciplines to promote sustainable use of data. Ontologies play a crucial role in facilitating data interoperability and reusability. However, existing ontologies may become outdated or redundant, hindering their continued use.
Michaelis, Lea +3 more
openaire +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
A diagrammatic representation for entities and mereotopological relations in ontologies [PDF]
In the graphical representation of ontologies, it is customary to use graph theory as the representational background. We claim here that the standard graph-based approach has a number of limitations.
de Oliveira, José M. Parente +1 more
core
DNA Replication Errors Drive Genome‐Wide Small Inverted Triplication Dynamics
This study provides insight into the dynamic equilibrium mechanism of a novel structural variant, small inverted triplication (SIT), which is generated by misalignment of the 3’ flap generated under DNA replication stress with palindromic sequence. Alternatively, the end sequence may fold back on itself to form an inverted fragment.
Yi Lei +12 more
wiley +1 more source
Searching Ontologies Based on Content: Experiments in the Biomedical Domain
As more ontologies become publicly available, finding the "right" ontologies becomes much harder. In this paper, we address the problem of ontology search: finding a collection of ontologies from an ontology repository that are relevant to the user's ...
Alani, Harith +4 more
core
Formal ontology for biomedical knowledge systems integration [PDF]
The central hypothesis of the collaboration between Language and Computing (L&C) and the Institute for Formal Ontology and Medical Information Science (IFOMIS) is that the methodology and conceptual rigor of a philosophically inspired formal ontology ...
Fielding, J. M., Simon, J., Smith, Barry
core

