The integration of artificial intelligence into biotechnology is yielding remarkable tools for scientific advancement. Novel deep learning models significantly improve ischemic stroke lesion segmentation, while advanced AI frameworks address critical cross-vendor challenges in diagnostic imaging maintaining data privacy. Additionally, sophisticated large language models synthesize causal evidence from diverse study designs, accelerating research synthesis. In precision medicine, a bioinformatics tool enhances multi-omics data interpretation, supporting tailored diagnostics and therapies.