Snakebites: COVID vaccine tech could limit venom damage
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Updates every hour. Last Updated: 3-Apr-2026 00:15 ET (3-Apr-2026 04:15 GMT/UTC)
Researchers have successfully grown platinum crystals in liquid metal, using a powerful X-ray technique giving rare insight into how these delicate crystals form and grow.
PopEVE can identify genetic variants most likely to cause severe disease, death
Held on 8 May 2025, the 10th UN Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals side event, titled “One Health for All: Synergistic Solutions Advancing SDG3 through Sustainable Science & Inclusive Innovation”, convened global experts to explore integrated strategies for advancing human, animal, and environmental health within the 2030 Agenda. The event highlighted innovations like artificial intelligence (AI)-driven surveillance and low-carbon diagnostics, emphasizing equity and Sustainable Development Goals (SDGs) acceleration. One milestone was the launch of an expert consensus promoting the global One Health index (GOHI), a roadmap to align research and experimental development (R&D) with SDG3 targets. Discussions centered on three key issues covering: the One Health approach for SDGs, the role of GOHI as a scientific tool addressing data fragmentation and capacity disparities, and GOHI's potential to enhance cross-sectoral governance, exemplified by case studies from Japan, Cambodia, and Singapore. A consensus emerged to promote GOHI at the sub-national level, recognizing its value as a comprehensive, structured framework offering practical tools, data transformation capabilities, economic analysis, and global knowledge sharing, despite implementation challenges. Six actionable recommendations were proposed, focusing on strengthening institutional coordination, bridging data gaps, integrating GOHI into governance, piloting localized interventions, mobilizing funding, and building capacity through global partnerships. The event marked a significant step forward, positioning the One Health framework, facilitated by tools like GOHI, as essential for achieving the SDGs and ensuring a healthier, more sustainable future for all.
Classic AI technologies are disembodied, and insufficient to make robots intelligently behave in the real world. In contrast, embodied artificial intelligence (Embodied AI) enables artificial agents with physical embodiment to achieve intelligent behavior through interactions with environments. Prof. Weinan Zhang and his team from Harbin Institute of Technology provide a comprehensive survey on Embodied AI. The survey proposes a structured research framework for Embodied AI from the perspective of robot behavior.
This study proposes a mechanism-data dual-driven framework to address the challenge of balancing water conservation, carbon emission reduction, and aquatic ecosystem preservation in China's industrial sector at minimal cost. It involves developing hybrid models for water-use and treatment processes and establishing a superstructure optimization model. This model identifies the optimal pathway for simultaneous water saving and carbon mitigation, supporting cost-effective decisions for industrial park water network optimization. Case studies confirm the framework's effectiveness in balancing economic and environmental benefits.