In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to ...
Tissue microarray (TMA) technology has transformed colorectal cancer research by enabling simultaneous analysis of hundreds of tissue samples under uniform experimental conditions. In this approach, ...
As illustrated by Dr. Carl Borrebaeck, [4] of Lund University, Sweden, bioarrays may be based on proteins or on affinity reagents. Defined sets of proteins, such as autoantigens, are spotted on ...
When researchers measure the activity of thousands of genes at once, they face a paradox that has shaped computational biology for decades: far too many variables and far too few samples. A single DNA ...
Phase II study of neoadjuvant FLOT and chemoradiation for trimodality therapy of esophageal/GEJ adenocarcinoma. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers Symposium.
A team of computer engineering researchers in Iran has unveiled a new machine learning framework that combines federated learning, bio-inspired optimization, and deep neural networks to pick out the ...
Definition: A microarray is a small, flat substrate carrying an ordered grid of microscopic probe features, each containing a known biological molecule, that is used to measure many molecular targets ...
Autoimmune diseases that stem from an autoaggression of the immune system toward a subject's own tissues and organs still represent a field of intense research in the hope to identify why this occurs ...
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