A research paper by scientists from Shanghai Jiao Tong University developed and clinically evaluated an artificial intelligence (AI)-enabled wearable ultrasound device for noninvasive estimation of elevated central venous pressure (CVP) by imaging the internal jugular vein (IJV) and common carotid artery (CCA) in acute and critical patients.

The new research paper, published on Aug. 05 in the journal Cyborg and Bionic Systems, has developed an integrated system that combines a wearable ultrasound patch with artificial intelligence to estimate elevated CVP noninvasively from neck vascular imaging.

A research paper by scientists at Shenzhen Institutes of Advanced Technology proposed a single source dual drive flexible knee joint assisted exoskeleton device to assist elderly people in daily walking.

The research paper, published on Aug 11, 2026 in the journal Cyborg and Bionic Systems.

In its August 2026 issue, Petroleum Science publishes a landmark editorial that identifies 100 fundamental scientific challenges facing petroleum science—a discipline at a historic inflection point. Compiled through a rigorous five-year process involving hundreds of experts worldwide, the list spans six domains and three archetypes of scientific problems. The editorial reveals that artificial intelligence has evolved from an enabler into a core driver, and together with the low-carbon transition, is fundamentally redefining the paradigm of petroleum science. This roadmap is intended to guide research planning, investment, and talent development for decades to come.

Researchers have developed a novel AI model that can analyze a routine whole histopathology image and simultaneously predict cancer subtype, specific genetic mutations, and survival outcomes across 32 different solid cancers rather than focusing on a single cancer type. The findings from the study in The American Journal of Pathology, published by Elsevier, highlight the potential of computational pathology to connect routine diagnostic imaging with molecular oncology.