The ranking, compiled by Isidro F. Aguillo at the Cybermetrics Lab of the Institute of Public Goods and Policies of the Spanish National Research Council (IPP-CSIC), aims to increase the visibility of women researchers through open-access platforms such as Google Scholar, ORCID and OpenAlex, which provide broader coverage than other bibliometric sources, including subscription-based databases. It also seeks to promote open infrastructures through the wider use of personal ORCID identifiers and institutional ROR identifiers.

The 2026 edition of the ranking includes a total of 12,110 researchers ranked according to the global impact of their research, 122 of whom belong to the public university of Castelló. The full ranking can be consulted in the author’s publication.

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial transcriptomics and proteomics to map intra-tumor heterogeneity. DVSTP predicts molecular profiles from routine pathology slides, making spatial multi-omics more accessible. Whole–tumor 3D reconstruction reveals that SRSF6 drives immune exclusion and is associated with poor clinical outcomes.

Large language models and autonomous agents have advanced rapidly, showing broad promise in medical imaging analysis, clinical diagnosis, and treatment planning. However, most existing medical AI systems still rely primarily on pre-trained knowledge and fixed workflows, making it difficult to learn continuously from long-term clinical feedback, patient outcomes, and prior treatment experience. This "static AI" architecture limits their value in complex real-world clinical settings.

To address this bottleneck, a team led by Dr. Lian Zhang from the First Hospital of Hebei Medical University, in collaboration with domestic and international research partners, has proposed VIBEMed, which is a self-evolving multi-agent framework for clinical decision support designed to enable dynamic learning and safe, traceable system evolution.