The POINT platform (http://point.gene.ac/) integrates multi-omics biological networks, advanced network topology analysis, deep learning prediction algorithms, and a comprehensive biomedical knowledge graph. It provides a powerful tool to overcome current bottlenecks in network pharmacology and advance the field.

A research team led by Professor Yumei Zhang from the Academy of Global Food Economics and Policy (AGFEP) at China Agricultural University, in collaboration with Dr. Issa Ouedraogo from the Alliance of Biodiversity International and International Center for Tropical Agriculture (CIAT), has conducted a study that reveals the structural characteristics and emission reduction potential of agrifood system carbon emissions in China and Africa. The related article has been published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2025609).

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a deep learning model that can produce phase diagrams for ferroelectric materials in just 20 seconds. Using FerroAI, the team discovered a novel ferroelectric material with an exceptionally high dielectric constant of 11,051, representing a significant advancement in AI-driven ferroelectric materials research. Their findings, published in the prestigious journal npj Computational Materials, offer an innovative approach to accelerating the design and discovery of functional materials.

Recently, a research team led by Gengjie Jia at the Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, in collaboration with Yu Li at The Chinese University of Hong Kong, Xin Gao at King Abdullah University of Science and Technology, and Andrey Rzhetsky at The University of Chicago, published an article in Quantitative Biology titled “An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations.” The study presents an embedding-based approach that encodes medical records into a high-dimensional disease space, providing a versatile framework for uncovering disease associations, facilitating genetic parameter estimation, and enabling data-driven disease classification. The authors also discuss the key challenges and future prospects of this emerging paradigm.

Researchers at Nanjing University of Aeronautics and Astronautics have developed a water-integrated floating droplet electricity generator that uses natural water as both the electrode and the substrate. The device matches the performance of conventional generators while significantly reducing weight and cost, opening pathways to scalable, land-free clean energy applications.

Researchers from Southern University of Science and Technology (SUSTech) and collaborators have built “double molecular bridges” across perovskite interfaces, unlocking ultrafast charge transport and pushing inverted perovskite solar cells to a certified fill factor of 88%, a new world record. The study was published in National Science Review (NSR).