A review paper by scientists at the Harbin Institute of Technology proposed the signal-enhancing mechanisms of MNMs in single-modal imaging and explored multimodal applications through MNMs-probe design and discusses artificial intelligence-driven intelligent MNMs for precision imaging.

The new research paper, published on Sep. 10 in the journal Cyborg and Bionic Systems, presented recent advancements in their applications for multimodal imaging and integration with artificial intelligence (AI)-driven technologies.

Gastric cancer remains a significant global health burden, with limited therapeutic options and poor clinical outcomes. Although conventional treatments such as surgery and chemotherapy are widely used, their effectiveness is often hindered by adverse effects and high recurrence rates, highlighting the urgent need for safer and more effective alternatives. Scleromitrion diffusum (Willd.) (S. diffusum), a well-established anticancer herb in traditional Chinese medicine, has demonstrated promising clinical potential against gastric cancer. This review systematically examines the bioactive components of S. diffusum and their multi-target mechanisms of action against gastric cancer. Key active compounds, including flavonoids, anthraquinones, and terpenoids, have been identified as exerting synergistic anti-gastric cancer effects. These compounds collectively target critical pathways in gastric cancer pathogenesis, including apoptosis induction, suppression of proliferation and angiogenesis, and immune modulation. The mechanistic elucidation presented in this review not only validates the traditional use of S. diffusum in cancer management but also provides a molecular basis for its potential application in precision medicine strategies for gastric cancer. Beyond summarizing existing evidence, this work highlights critical gaps in current knowledge and proposes essential directions for future research, providing important references for integrating traditional medicine with modern oncology approaches.

A Forest Ecosystems study highlights how forest landscape restoration (FLR) can play a critical role in improving water availability and ecosystem health across tropical regions. Drawing on decades of field studies, modeling, and global research, the study emphasizes that healthy soils and reliable water supplies are essential for both people and ecosystems to thrive.

AMHERST, Mass. — An app that turns consumer Apple Watches into tools for highly sophisticated sleep stage monitoring was developed by team of researchers led by professor Joyita Dutta at the University of Massachusetts Amherst. The researchers say the app and corresponding AI code are convenient and effective alternatives to existing costly and complex sleep study equipment and protocols.