Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

A co-reported investigation with Gizmodo and The Markup into PredPol A co-reported investigation with Gizmodo and The Markup into PredPol PredPol’s algorithm is supposed to make predictions based on ...

In a recent study published in the Proceedings of the National Academy of Sciences, researchers from the United States of America developed and validated "TimeMachine," an algorithm that predicts the ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Smart stethoscope company Eko last week announced it has received FDA 510(k) clearance for an algorithm that detects and characterizes heart murmurs in adult and pediatric patients. Eko Murmur ...

The data genie is well and truly out of the bottle. The presence of data-driven consultancies, the rise of public data websites and the growth of its use in the media (cough, cough) highlight how ...