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 ...
Python hunters have nothing to be afraid of when it comes to venom and pythons. They are not venomous. But they have very sharp teeth.
Researchers at Forschungszentrum Jülich and Heinrich Heine University Düsseldorf have developed a tool that could ...
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.
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 ...
OpenAI's powerful GPT-5.2-Codex agentic model is now available in more IDEs through GitHub Copilot for multiple subscription ...
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 ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
“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.
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