Antibody-displaying extracellular vesicles for targeted cancer therapy
Extracellular vesicles (EVs) function as natural delivery vectors and mediators of biological signals across tissues. Here, by leveraging these functionalities, we show that EVs decorated with an antibody-binding moiety can be used as a modular delivery system for targeted cancer therapy.
Inferring patient-specific gene networks from bulk transcriptomics data
While traditionally network inference on bulk transcriptomics data generates an 'average' gene network for the population, single-sample network inference constructs patient-specific gene networks. We evaluated several tools in the context of precision oncology when ‘normal tissue’ is not there.
Unveiling a Link Between Oral Bacteria in Feces, Gut Microbiota Damage and Cancer Patient Outcomes
Detecting oral bacteria in feces indicates a loss of healthy gut bacteria. This insight could allow doctors to monitor microbiome damage and proactively improve treatment outcomes for patients undergoing therapies that affect gut health.
Overcoming limitations in current measures of drug response may enable AI-driven precision oncology
State-of-the-art AI models in precision oncology were actually not giving personalized predictions 💣 Keep reading to learn how we discovered it ☄️
Cancer-Alterome, how literature resources contribute to the refined interpretation of cancer pathology ?
"This study introduces Cancer-Alterome, a literature-mined dataset that focuses on the regulatory events of an organism’s biological processes or clinical phenotypes caused by genetic alterations. It empowers investigation of cancer pathology, enabling tracking of relevant literature support."
