Tag Archives: deep learning

UCLA researchers pioneer AI-based tissue staining to detect amyloid deposits without chemical stains or polarization microscopy

Los Angeles, CA – September 10, 2024 – Researchers at the University of California, Los Angeles (UCLA) have pioneered a groundbreaking approach in the imaging and detection of amyloid deposits in tissue samples. The innovative method leverages

UCLA researchers develop high-sensitivity paper-based sensor for rapid cardiac diagnostics

AoS. UCLA Researchers Develop High-Sensitivity Paper-based Sensor for Rapid Cardiac Diagnostics

A significant advancement for point-of-care medical diagnostics, a team of researchers from UCLA has introduced a deep learning-enhanced, paper-based vertical flow assay (VFA) capable of detecting cardiac troponin I (cTnI) with high sensitivity. The innovative assay holds

Protein structure detection in intermediate-resolution cryo-EM maps using deep learning

AoS. Protein structure detection in intermediate-resolution cryo-EM maps using deep learning

Cryo-EM has established its position in structural biology as an indispensable method of choice for determining macromolecular structures due to recent technological breakthroughs. The recent years have observed a steep increase of biomolecular structures solved by cryo-EM,

Bayesian sparse neural networks for biomarker discovery with omics data

AoS. Bayesian Sparse Neural Networks for Biomarker Discovery with Omics Data

Recent advances in high-throughput biotechnologies, such as microarray and sequencing technologies, have provided an unprecedented opportunity for biomarker discovery, which potentially enhances the development of precision medicine. From a statistical point of view, the discovery of biomarkers

A novel deep learning-based method for predicting RNA-protein interactions

RNA-binding proteins (RBPs) take over 5–10% of the eukaryotic proteome and regulate the gene localization and  translation. On the other hand, the mutations in RBPs have been discovered to be associated with disease risk, such as FUS