Cutting-edge AI methods are transforming biomedical research and diagnostics. A federated learning framework addresses cross-vendor collaboration and data privacy challenges in medical imaging. Meanwhile, the ‘Evidence Triangulator’ uses large language models to synthesize causal evidence across study designs, advancing scientific inference. These innovations promise to enhance diagnostic consistency and accelerate research synthesis across complex biomedical datasets.