A new Northwestern University study has found one in three middle-aged American adults ages 35 to 64 cannot consistently read prescription instructions correctly, understand medical forms or recall details from doctor visits involving chronic condition diagnoses. These skills — often referred to as health literacy — are critical for managing common conditions such as high blood pressure, high cholesterol and diabetes, which commonly emerge in midlife.

The study author said, “This work is not about pointing out what people can't do, but rather, can we confuse patients less?” 

While previous research has found more than half of adults 65 and older have a difficult time engaging with the health care system, this is the first study to focus on middle-aged adults. 

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.

A review paper by scientists from Imperial College introduce embodied cross-domain intelligence, a framework for synergistic coupling across physical, biological, computational, and human intelligence, enabling multifunctional, collaborative, and adaptive micro-robotic behavior in dynamic, safety-critical biological settings.

The new research paper, published on May. 14 in the journal Cyborg and Bionic Systems, introduced a unifying concept called embodied cross‑domain intelligence, which weaves together physical, biological, computational, and human intelligence into a synergistic whole.