Advances in artificial intelligence (AI) are transforming the way we analyze, model, and interpret both microbial systems and complex biomedical data.

However, surgical applications — which demand multimodal reasoning, real-time human interaction, and physical situational awareness — remain underrepresented in standard medical AI evaluation suites.

French artificial intelligence startup Bioptomus, pioneers of the biology research model family H-Optomus, today announced the availability of the company’s next-gen clinical biology AI model, ...

French artificial intelligence startup Bioptimus, pioneers of the biology research model family H-Optomus, today announced the availability of the company’s next-gen clinical biology AI model, ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

While breakthroughs in biomedical research are driving headlines, the real-world impact of generative AI is increasingly ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...