The future we build could depend on research we don’t read. Basil Mahfouz's work highlights a striking gap: roughly two-thirds of science flagged as highly relevant to policy is never cited. Not because it is weak, but because it is invisible. As AI changes how evidence is discovered and used, the question is not only whether it can summarize research. It is whether it can help widen the field of view. Read more: http://spkl.io/60487D6BO
How do you turn uncertainty into a safe next step? For NHS 24 clinicians and call handlers, every call means guiding people to the right care, quickly, consistently, and with confidence. It is a challenge increasingly familiar across healthcare, research, and innovation: professionals are expected to act faster while navigating growing complexity. Read how NHS 24 and Elsevier are combining trusted knowledge, AI-supported reasoning, and expert assessment: http://spkl.io/60447EtAj
Elsevier has launched Shadow Health Lab with Virtual Reality — a clinical simulation solution designed to help nursing students build confidence and clinical judgment before they enter practice. The platform brings together more than 165 evidence-based lab simulations and 30 virtual reality patient encounters, each supported by structured preparation, facilitation and debriefing tools. Students can engage with a wide range of conditions and patient needs — in an immersive environment that mirrors the complexity of real clinical settings. The need is clear. Our Clinician of the Future 2026: Nurses Edition found that 61% of nurses are seeing more patients than a year ago, while increasing patient volumes, administration and complexity are squeezing time for care. Training that builds prioritization, decision-making and communication skills before graduation has never been more important. Shadow Health Lab with Virtual Reality is now available to undergraduate nursing programs. Learn more: http://spkl.io/604978ZQF
New research in Elsevier’s Current Biology by Cell Press shows how Bruce, an endangered kea at Willowbank Wildlife Reserve in New Zealand, developed a novel “beak jousting” technique using his exposed lower beak. Across recorded male dominance interactions, Bruce won every interaction he was part of. His jousting displaced opponents immediately 73% of the time and gave him priority access to feeders and social grooming.
Trust is earned. In research AI, it comes from transparency, traceability, and strong data protection. LeapSpace™ is Elsevier’s research-grade AI workspace built on trusted science. It is designed with transparency and clear trust markers, plus enterprise-grade privacy and security, so insights are explainable and traceable. Try LeapSpace today: http://spkl.io/604776SSV
Elsevier has been ranked #1 on Comparably’s Best Product & Design Teams 2026 list. Our teams are building products that shape how the world’s researchers, clinicians, and scientists discover, use, and share knowledge. That takes craft, vision, and people who genuinely care about what they make. This recognition belongs to every designer, product manager, researcher, and engineer who shows up for purposeful work every day. If you want to do the best work of your career, and work that matters, we’d love for you to join us. 👉 We’re hiring: http://spkl.io/60447DLmn | 🏆 Award information: http://spkl.io/60457DLmX
Responsible AI starts with trusted content. Elsevier collaborates with publishers, societies, and data providers to help ensure our research and clinical-grade AI solutions are grounded in high-quality scientific and medical knowledge. Read more on how we approach content coverage, attribution, transparency, privacy and IP protection, as AI changes how researchers and clinicians discover and use high-quality information: http://spkl.io/60407Dmv0
Fast answers built on a shallow evidence base do not solve the bias problem. They reproduce it faster. As AI becomes part of research and decision-making, the quality of the underlying evidence matters as much as the capability of the model. Better decisions require broader evidence, trusted sources, and insights that can be traced back to where they came from. Read more: http://spkl.io/60447D6DY
We’re growing our Data Science teams at Elsevier (RELX). These roles sit at the intersection of data, machine learning, and real-world impact—helping researchers, clinicians, and organizations solve meaningful global challenges. You’ll work on everything from advanced analytics and ML models to scalable data platforms that power decision-making in science and healthcare. Hiring across levels (Data Scientist → Manager) and locations (US, UK, NL). Take a look: https://bit.ly/3SaLXvj
Purposeful work, continuous growth, and colleagues who care are at the heart of the Elsevier Experience. HRGrapevine takes a closer look: https://bit.ly/3QNpBPY Join us: https://bit.ly/4cZeNH7
