A drop of dye added to a glass of water undergoes ordinary diffusion. However, when placed on the surface of a foam, the dye spreads differently – diffusion becomes anomalous. An example of this is the pattern on the froth of a cup of cappuccino. Interestingly, the latest research suggests that diffusion equations in a heterogeneous environment can also describe social phenomena, such as election results or the behaviour of stock market traders.

A research paper by scientists from Sun Yat-sen University Cancer Center represented the largest prospective validation to date of AI-based treatment planning for NPC, demonstrating real-time feasibility, robust generalizability, and consistent clinical quality.

The new research paper, published on May. 18 in the journal Cyborg and Bionic Systems, developed and clinically validated a deep‑learning‑based automated planning system that generates high‑quality treatment plans in real time – within an integrated CT‑linear accelerator (CT‑linac) “all‑in‑one” (AIO) workflow.