Researchers from University of Naples Federico II, Chinese CDC and Shanghai Jiao Tong University employ deep learning, agent‐based simulations and big data analytics to enhance diagnostics, optimize epidemiological surveillance and accelerate basic research. Their work demonstrates AI’s capacity to shorten queues, boost imaging accuracy and inform global disease control strategies.

Key points

• Deep learning frameworks enhance image‐based diagnostics in parasitology, oncology and cardiology workflows.
• Agent‐based AI simulates vector‐borne disease spread using IoT and geospatial big data for real‐time epidemiological surveillance.
• AlphaFold2’s deep‐learning approach resolves protein folding, accelerating drug design and aging‐related disease research.

Why it matters: Integrating AI across diagnosis, imaging and surveillance promises to transform healthcare delivery, drive down costs and improve global disease control outcomes.