Regulated cell death (RCD) comprises a diverse and expanding set of molecularly defined processes, such as apoptosis, necroptosis, ferroptosis, and ...

An AI-assisted drug discovery platform using transfer learning has identified a promising gp130 inhibitor for colorectal ...

Proceeds will support continued commercial expansion, operational scale-up, clinical study execution, and product development * Clinical oncology ...

The stimulator of interferon genes (STING) pathway is a central mediator of innate immunity, sensing cytosolic DNA and triggering type I interferon ...

Marine organisms have evolved a remarkable arsenal of host-defense peptides under conditions of extreme variability and ...

A new kind of CRISPR that destroys cells rather than gene editing them has shown potential for killing sick cells while leaving healthy cells untouched. CRISPR-mediated gene editing technology has ...

Welcome to the Sheffield Cancer Bioinformatics Group GitHub Organisation! The Sheffield Cancer Bioinformatics Group is dedicated to cutting-edge research in cancer bioinformatics, with a focus on ...

A free open-access webinar will introduce the Cancer Genome Interpreter (CGI), an advanced bioinformatics tool to interpret mutations in cancer genomes developed by IRB Barcelona and co-created with ...

Abstract: Pathway analysis is crucial for revealing the molecular mechanisms of cancer, as it emphasizes the important proteins that participate in various biological pathways. This study introduces a ...

In an increasingly tech-driven world, specialization in bioinformatics will set graduate students in Tufts’ biology master’s program apart. Bioinformatics is a scientific subdiscipline situated at the ...

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System ClinBioNGS is a modular, fully containerized ...