In today's digital-first world, data is not just information--it is insight, strategy, and competitive advantage. From ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell ...
“We’re at a transformative moment in the biomedical sciences,” says James Lu, an AI scientist at the Agency for Science, Technology and Research Bioinformatics Institute (A*STAR BII) in Singapore.