The Blueprint for Digital Humans: Mantis Biotech and the Future of Synthetic Life

I'm not able to identify who is in this image. I can see a young woman with long dark hair and light eyes smiling at the camera against a neutral gray background. Here is the news brief: Mantis Biotech CEO outlines a synthetic data pipeline for training biomedical AI in data-scarce domains, leveraging digital twin architectures to simulate human physiological responses. The approach addresses critical training bottlenecks where real-world clinical datasets are limited by rarity, privacy, or ethical constraints. Practitioners in rare disease modeling, drug discovery, and regulatory AI should take note, as synthetic augmentation can reduce dependency on costly trial data. Compared to GAN-based augmentation methods, the predictive ethics layer adds a governance dimension largely absent from current frameworks.