Bibliometric mapping shows that the learning-explicit robotic transplantation literature is strongly kidney-dominant, with evidence from other organs representing smaller and clinically distinct extensions, and proposes a multidomain interpretation in which technical efficiency, transplant-specific process control, clinical outcomes, and program-level transfer may evolve differently.
Background Robotic-assisted minimally invasive esophagectomy (RAMIE) is a significant evolution in esophageal cancer surgery, providing improved visualization, dexterity and operative precision. However, RAMIE is technically demanding and has a steep learning curve. The goal of this systematic review was to assess the...
Konstantinos Kossenas, A. Mylonakis, D. Avgerinos et al.· Frontiers in Oncology· 0 citations
Early institutional experience suggests SP-RAKT is technically feasible in carefully selected patients at experienced centers, with minimal blood loss, short hospitalization, and early graft function consistent with established benchmarks, which support feasibility but not comparative safety or superiority over open or...
Pierangelo Nitzkowski, Aaron Ouyang, Thriaksh Rajan et al.· International Urology and Ne...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
