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This Letter to the Editor responds to the recent publication by Patel et al. (J Robot Surg. Jul 11;19(1):370, 2025), which outlines a framework and recommendations for telesurgery. Their work identifies the most suitable network connections and the need for redundancy systems to reduce network failures, while also prompting further reflections on additional implications. In particular, it led us to consider the exclusive challenges of telesurgery, which we identified primarily in a new category of complications related to network connectivity, alongside the well-established clinical and technical complications of traditional and robotic surgery. This correspondence further emphasizes the ongoing transformation of surgery from a direct interaction between surgeon and patient to a coordinated team-based practice involving assistants, machines, and technical specialists. By addressing these emerging challenges, this commentary highlights the necessity of re-evaluating safety assumptions in telesurgical practice.
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http://dx.doi.org/10.1007/s11701-025-02751-1 | DOI Listing |
Anim Sci J
January 2025
Department of Animal Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.
This study investigates the effects of L-carnitine on nuclear maturation and fertilization in cattle and goat oocytes. Ovaries were collected from females with poor reproductive efficiency in the tropical climate, and cumulus-oocyte complexes (COCs) were retrieved from large antral follicles. COCs were cultured with varying concentrations of L-carnitine (0, 0.
View Article and Find Full Text PDFGenome Biol
September 2025
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Background: Soil salinization represents a critical global challenge to agricultural productivity, profoundly impacting crop yields and threatening food security. Plant salt-responsive is complex and dynamic, making it challenging to fully elucidate salt tolerance mechanism and leading to gaps in our understanding of how plants adapt to and mitigate salt stress.
Results: Here, we conduct high-resolution time-series transcriptomic and metabolomic profiling of the extremely salt-tolerant maize inbred line, HLZY, and the salt-sensitive elite line, JI853.
Br J Pharmacol
September 2025
Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Background And Purpose: Neuroinflammation is increasingly recognised to contribute to drug-resistant epilepsy. Activation of ATP-gated P2X7 receptors has emerged as an important upstream mechanism, and increased P2X7 receptor expression is present in the seizure focus in rodent models and patients. Pharmacological antagonists of P2X7 receptors attenuate seizures in rodents, but this has not been explored in human neural networks.
View Article and Find Full Text PDFClin Genet
September 2025
Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
LONP1 encodes a mitochondrial protease essential for protein quality control and metabolism. Variants in LONP1 are associated with a diverse and expanding spectrum of disorders, including Cerebral, Ocular, Dental, Auricular, and Skeletal anomalies syndrome (CODAS), congenital diaphragmatic hernia (CDH), and neurodevelopmental disorders (NDD), with some individuals exhibiting features of mitochondrial encephalopathy. We report 16 novel LONP1 variants identified in 16 individuals (11 with NDD, 5 with CDH), further expanding the clinical spectrum.
View Article and Find Full Text PDFBehav Res Methods
September 2025
Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Cybernetics, Prague, Czech Republic.
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of disorders. There has been a rapid development of human pose estimation methods in computer vision, thanks to advances in deep learning and machine learning. However, these methods are trained on datasets that feature adults in different contexts.
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