This systematic review synthesizes evidence on non-pharmacological interventions for managing acute, non-traumatic musculoskeletal pain (<6 weeks) and summarizes findings across efficacy, safety, acceptability, and cost-related considerations. A structured literature search was conducted on 15 June 2025 across four databases (PubMed/MEDLINE, the Cochrane Library, Embase, and Scopus) for publications from 1 January 2021 to 15 June 2025, supplemented by targeted website screening, outreach to relevant organisations, and backward citation searching. Study selection followed PRISMA 2020 with deduplication, title/abstract screening, and full-text assessment; 18 studies meeting the acute <6 weeks criterion was included in the final evidence base and narratively synthesized. Across the included evidence, advice to remain active and graded mobilization were consistently represented as core components of care, while selected modalities (e.g., superficial heat and transcutaneous electrical nerve stimulation) demonstrated short-term symptom relief in some settings. Evidence for cryotherapy was inconsistent and generally of low certainty in acute sprain populations, and findings for manual therapy and complementary approaches were heterogeneous and often condition-specific. Psychoeducational approaches were associated with improvements in pain-related cognitions (e.g., catastrophizing) in limited pilot evidence. Overall, the literature supports a pragmatic multimodal approach that prioritizes early activity and function, complemented by short-acting physical/neuromodulatory modalities and brief psychoeducation when appropriate; however, heterogeneity of populations, intervention parameters, and outcomes limits definitive comparative conclusions, and longer-term trials of predefined combinations are needed. The article will be helpful to clinicians, physiotherapists, pain specialists, and researchers developing integrated models of non-pharmacological rehabilitation.

The existing systems of health care in the world today are finding it difficult to cope with the historical strain in their operations whereby administrative and clinical inefficiencies are liable about 25% of the annual health care expenditure. Customary packets of analysis are not generally as dexterous as the multi-modal and quick data that is generated by the current Electronic Health Records (EHR). Purpose: The application of state-of-the-art Data Science techniques based on optimizing the predictive model precision and maximizing the systemic performance of healthcare analytics will be the research problem. Methodology: The present research relies on the evaluation of ensemble learning systems and deep neural networks depending on principles of AI-based engineering and infrastructural solidity. The performance metrics to be used during the study are Area Under the Curve (AUC), and throughput rate to determine the effectiveness of this type of models used in the actual clinical environment. Results: According to the analysis, the AI predictive models are better at identifying sepsis at infancy and chronic heart diseases; its AUC value is 0.85-0.92, which is more advanced compared to 0.70, the typical clinical scoring. In addition, performance optimization algorithms were also capable of reducing patient waiting time by 15-20 percent and reducing the efficiency in bed utilization by 12 percent, which all eased the hospital bottlenecks. Data science systems entail the inclusion of strong data science systems to ensure the creation of robust healthcare infrastructure. Even after the set of questions about the privacy of the data and the transparency of the algorithms would still remain critical issues, the transition to predictive and AI-based systems offers a measurable roadmap of the course toward sustainable clinical performance and reduced wastes in the operation. Ultimately, the integration of these AI-driven frameworks serves as a catalyst for a proactive rather than reactive medical paradigm. By harmonizing high-speed computational power with clinical intuition, healthcare providers can mitigate human error and standardize care across diverse demographics. This shift not only addresses immediate fiscal leaks but also establishes a scalable blueprint for global health equity. Consequently, the maturation of these technologies signifies a pivotal evolution toward an automated, precision-oriented future in public health management.

Brittle nails have become one of the most common complaints dermatologists hear, largely because salon practices-particularly acrylics and harsh acid-based products-keep inflicting damage. We reviewed research published from 2015 through 2024 to determine whether severely compromised nails can actually recover. Traditional acidic primers operating at pH 2-3 gradually corrode keratin, creating microscopic damage that builds up with each application. Formulations maintaining pH 5-7 achieve bonding without chemically degrading keratin. Gentler salon approaches-careful cuticle work, minimal filing, replacing acrylics with water-based gel systems-substantially reduce mechanical damage. Home care involves daily moisturizer application, 2.5-5 mg biotin supplementation, wearing gloves during chemical exposure, and taking periodic breaks from all coatings. Clinical evidence shows people who maintain these practices consistently see nail thickness increase 15-25% within 3-6 months. Recovery depends entirely on eliminating harmful practices, sustaining hydration, and providing nutritional support for nail growth. Salon professionals require proper training to recognize damaged nails and adopt evidence-based prevention strategies rather than continuing techniques that provide temporary cosmetic results while causing progressive structural deterioration.