Spinal injuries have a major impact on patients’ quality of life due to the implacable consequences they bring, such as reduced mobility and loss of flexibility, in most cases requiring surgery to restore spinal stability and functionality. In this respect, spinal fixation devices represent an important strategy to stabilize the spine after severe injuries or degenerative conditions, providing structural support and preserving spinal function. However, at the moment, the materials used to manufacture spinal implants present numerous disadvantages (e.g., Young’s modulus larger than cortical bone, which can produce bone resorption and implant enlargement) that can lead to implant failure. In this context, nanotechnology can offer promising solutions, bringing improved properties (e.g., biocompatibility, osseointegration, and increased mechanical performance) that increase the potential for obtaining devices customized to patients’ needs. Thus, the present work aims to present an overview of the types of nanocoating surface modification, the impact of rough and porous implant surfaces, and the integration of bioactive nanoparticles that reduce the risk of infection and implant rejection. In addition, incorporating 3D printing technology and the use of biodegradable materials into the discussion provides a valuable perspective for future studies in this field. Although the emerging results are encouraging, further studies to assess the long-term safety of implant coatings are needed.

Background: Lumbar disc herniation (LDH) recurrence remains a pressing clinical challenge, with limited predictive tools available to support early identification and personalized intervention. Predicting recurrence after lumbar disc herniation (LDH) remains clinically important but algorithmically difficult due to extreme class imbalance and low signal-to-noise ratio. Objective: This study proposes a hybrid machine learning framework that integrates supervised classifiers, unsupervised anomaly detection, and decision threshold tuning to predict LDH recurrence using routine clinical data. Methods: A dataset of 977 patients from a Romanian neurosurgical center was used. We trained a deep neural network, random forest, and an autoencoder (trained only on non-recurrence cases) to model baseline and anomalous patterns. Their outputs were stacked into a meta-classifier and optimized via sensitivity-focused threshold tuning. Evaluation was performed via stratified cross-validation and external holdout testing. Results: Baseline models achieved high accuracy but failed to recall recurrence cases (0% sensitivity). The proposed ensemble reached 100% recall internally with a threshold of 0.05. Key predictors included hospital stay duration, L4–L5 herniation, obesity, and hypertension. However, external holdout performance dropped to 0% recall, revealing poor generalization. Conclusions: The ensemble approach enhances detection of rare recurrence cases under internal validation but exhibits poor external performance, emphasizing the challenge of rare-event modeling in clinical datasets. Future work should prioritize external validation, longitudinal modeling, and interpretability to ensure clinical adoption.

The immobility of patients confined to continuous bed rest continues to raise a couple of very serious challenges for modern medicine. In particular, the overlooking of sudden onset immobility (as in acute stroke) and the delay in addressing the underlying conditions are of utmost importance for the patient and, in the long term, for the medical and social systems. This paper describes the design principles and concrete implementation of a new smart textile material that can form the substrate of intensive care bedding, that acts as a mobility/immobility sensor in itself. The textile sheet acts as a multi-point pressure-sensitive surface that sends continuous capacitance readings through a connector box to a computer running a dedicated software. The design of the capacitance circuit ensures enough individual points to provide an accurate description of the overlying shape and weight. We describe the textile composition and circuit design as well as the preliminary data collected during testing to demonstrate the validity of the complete solution. These results suggest that the smart textile sheet is a very sensitive pressure sensor and can provide continuous discriminatory information to allow for the very sensitive, real-time detection of immobility.

Spinal metastasis remains a significant clinical issue, frequently resulting in substantial pain and disability among cancer patients. Conventional management strategies have historically included chemotherapy, radiotherapy, and open surgical intervention. However, advancements in minimally invasive spinal surgery (MISS) have notably shifted the therapeutic landscape. This review examines recent evidence surrounding MISS, directly comparing it to traditional open procedures. Current literature demonstrates that MISS typically results in reduced intraoperative blood loss, shorter hospitalization durations, decreased infection rates, and functional outcomes that are at least equivalent—if not superior—to those of open surgery. Additionally, the emergence of hybrid therapeutic approaches—specifically, the utilization of separation surgery followed by stereotactic radiosurgery—has shown promise in achieving local tumor control, particularly in select malignancies. This narrative review also evaluates contemporary clinical decision-making frameworks such as NOMS, LMNOP, and NESMS. Further, it advocates for the integration of advanced prognostic tools and tumor genomics to enable more personalized treatment strategies for individuals with spinal metastasis.

Implant-associated infections represent challenging complications following orthopedic surgeries, with spinal fixation procedures being particularly linked with increased risks. Thus, urgent research is required to develop enhanced solutions to avoid bacterial colonization, associated implant failure, and severe issues. Our study is based on the laser coating of surfaces with a composite mixture of PLA/Fe₃O₄@CEF that can fight against infectious agents and preserve their activity for a prolonged time. In the present study, we synthesized Fe₃O₄@Ceftriaxone (CEF) nanoparticles by co-precipitation and blended them into polylactic acid (PLA)-based coatings that were thoroughly evaluated from physicochemical and biological points of view. The novelty of this work is the dual functionality of these coatings, combining localized, sustained antibiotic delivery with enhanced biocompatibility for spinal screw applications. The coatings exhibited substantial anti-biofilm effects, reducing Staphylococcus aureus colonization from 1.8 × 10⁸ to 1.6 × 10⁵ CFU/mL and Pseudomonas aeruginosa from 1.2 × 10¹¹ to 1.9 × 10⁶ CFU/mL after 24 h. Furthermore, in vitro assays with murine preosteoblasts and human osteoblasts demonstrated excellent biocompatibility, maintaining >95% cell viability and showing no significant cytotoxicity or inflammatory response. These results highlight the potential of PLA/Fe₃O₄@CEF composite coatings in preventing implant-associated infections and promoting osseointegration, offering a multifunctional strategy for improving spinal fixation screw longevity and patient outcomes.

Pineal-region tumors are a histologically heterogeneous group of tumors and represent a rare occurrence, accounting for less than 1% of all adult intracranial tumors. Among these, primary pineal malignant melanomas (PPM) represent an even rarer entity, with only twenty-five cases being reported in the literature to date. We present the case of a 65-year-old patient who presented in our department for progressive headache, gait disturbance and memory impairment. Magnetic resonance imaging (MRI) of the brain revealed a solid mass in pineal region, measuring 2.2 × 1.2 × 2.0 cm and causing obstructive hydrocephalus. He underwent a third ventriculostomy, but we failed to obtain a sample for diagnostic purposes. The intraoperative surprise was the presence, at the level of the third ventricle, of multiple melanin deposits, which were not picked up by the MRI. Although the biopsy could not be performed and had to be obtained by stereotactic biopsy in a second intervention, the endoscopy findings allowed for the correct staging of the intracranial disease and appropriate treatment management.