Rare disease research may begin with small patient groups, but its impact can reach far beyond. From gene editing and AI-driven drug repurposing to cross-disease collaboration, new approaches are helping transform urgent challenges into breakthroughs for all. Read more: http://spkl.io/6046ArxNs
Redefining research: Elsevier’s next-generation AI-powered researcher solution. Researchers are working to address some of the world’s greatest challenges and AI can be a powerful ally. Yet, generic AI tools often fall short, relying on limited academic literature, low-quality data and offering little transparency about how conclusions are reached. That’s why we’re developing a new, end-to-end AI solution designed with and for researchers, so they can seamlessly carry out multiple tasks with confidence - to accelerate breakthroughs, boost collaboration, improve impact and productivity. The solution will help identify emerging areas of inquiry and funding opportunities, uncover knowledge gaps, synthesize literature rapidly, connect with collaborators – with unmatched content depth, breadth and quality. A closed beta version of the solution launches today. The solution will be available to purchase in Q1 2026 - existing ScienceDirect AI customers will have access as part of their subscriptions. 🔗 Learn more and stay updated: http://spkl.io/6042ARYA2
The third report on Japanese–Dutch research collaboration is here, and the focus is on clean energy. Findings show: ✅ High academic impact, even with modest activity levels. ✅ The essential role of international collaboration. ✅ Remarkably strong academic–corporate partnerships driving innovation. 🔗 Read the full report: http://spkl.io/6048ArzG4
Restoring public trust: Higher education’s generational challenge. How can academic leaders rebuild trust and secure higher education’s role as a public good for future generations? In this new Not Alone: Leaders in Focus article, Dr. Charles Isbell, Chancellor of the University of Illinois Urbana-Champaign, calls for bold change and meaningful dialogue. 📌 Key takeaways: • Public trust in higher education has eroded—leaders must act with humility and transparency. • Defending the status quo is not enough: meaningful conversations with stakeholders are essential. • Universities must reaffirm their mission as a public good that drives access, innovation, and civic progress. • True leadership means listening, not lecturing—engaging in dialogue, even when uncomfortable. • Today’s choices will shape whether we are remembered as good ancestors for future generations. 📖 👉 Read the full article and join the conversation: http://spkl.io/6048ARhUO
AI can support peer review, but it cannot replace the human expertise needed to assess novelty, complexity, and ethics. Editors bring context, community insight, and the ability to recognize nuances and biases that AI cannot replicate. Peer review must evolve with AI as a tool, not a substitute. 🔗 Learn more: http://spkl.io/6044ARapO
We’re looking for a Data Engineer to join Elsevier, UK: https://bit.ly/4p3Xjxf 📍 Multiple locations in the UK Our AI Engineering team is building scalable pipelines and knowledge graphs that unlock scientific meaning and power graph-driven agentic AI. Your work will help researchers, clinicians, and innovators worldwide make faster, more informed decisions. If you have experience with Spark, Airflow, Python/Scala, and are passionate about building data platforms at scale. This is your chance to contribute to global science and healthcare. Help us progress science and health. Apply today. Advancing human progress together
Now hiring: AI Engineer (Mexico) | 🔗 Apply now → https://bit.ly/46JZDBh At Elsevier, we’re building the next generation of generative AI systems to transform science and healthcare. In this role, you’ll: -Design scalable AI services and reusable components -Deploy and optimize applications on Kubernetes (EKS) -Translate prototypes into production-ready solutions -Contribute to architecture decisions and mentor engineers -Work with tools like HuggingFace, LangChain, and vector databases Bring your expertise in Python, Java, distributed systems, and AI platforms to help shape the future of innovation.
Trust is the foundation of AI in healthcare. As AI becomes part of clinical workflows, rigorous evaluation is essential to ensure safety, reliability, and real-world usefulness. See how Elsevier’s ClinicalKey AI Evaluation Framework, developed with clinicians, is setting standards for transparency and trust, and what the Clinician of the Future 2025 report tells us about the role of AI in clinical decision-making. 👇
Now hiring: Search Engineer (Mexico) 🔗 Apply today → https://bit.ly/4nwyQiC Join Elsevier as we build the next generation of search and retrieval systems that power science and healthcare innovation. In this role, you’ll: -Design scalable search services with ElasticSearch/OpenSearch -Build retrieval-augmented generation (RAG) workflows -Optimize performance across distributed infrastructure on EKS -Collaborate with a global team to shape mission-critical insights Bring your expertise in Python, Java, distributed systems, and search infrastructure to a company making a real impact on healthcare and research worldwide.
Now president of corporate markets, Stuart Whayman leads efforts to harness technology, data and AI to help researchers and businesses tackle some of the world’s most pressing challenges. Over a cappuccino, he reflects on the role of AI in drug discovery and climate change, and on his career journey since completing a maths degree at the University of Oxford.
