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                <text>Bone is a specialized connective tissue with the ability to regenerate following injury and trauma. However, when the extension of bone loss exceeds the regenerative capacity of tissue, additional treatments are required; these have been investigated by scientists and clinicians, and include biological and material approaches and their combination. This Special Issue, entitled “Bone Regeneration and Repair Materials”, is composed of 14 original and 2 review articles that can be grouped into the following three categories: (1) physicochemical and mechanical characterizations of biomaterials for bone regeneration and implants; (2) strategies to induce bone repair using biomaterials and/or cells; and (3) titanium implants. This collection of information covers the diverse range of materials and approaches that have emerged as promising and powerful tools in regenerative medicine in order to promote bone repair, regeneration, and implant osseointegration. Additionally, this Special Issue elucidates the need to understand the cellular mechanisms involved in the interactions between bones and materials in the search for optimized and smart therapies, with patient well-being always being the primary focus.</text>
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                <text>Biomaterials can be used as implantable devices or drug delivery platforms with a significant influence on a patients’ quality of life. Indeed, every year a substantial number of new biomaterials and scaffolding systems are engineered and introduced in the biomedical field with increased potential for biomedical uses. However, their long-term use can be threatened by the adhesion and proliferation of microorganisms, which can interact and form biofilms, or the formation of fibrosis, with cytotoxic responses being very common. Pathogenic microorganisms may cause local infection and consequent implant failure; furthermore, they can hinder the delivery of therapeutic molecules by specialized delivery platforms, turning them ineffective. Many alternatives have been proposed over the years to prevent such events, including the use of antiseptics and antibiotics or the physical modification of the biomaterial surface, with the incorporation of biomolecules of interest. From specialized polymers and functional groups to silver and, more recently, antimicrobial peptides and natural extracts, different functionalization/modification techniques have been employed in this fight against pathogenic agents.</text>
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                <text>Artificial intelligence (AI), which is the simulation of human intelligence processes by machines, is having a growing impact on healthcare. Via AI, researchers can provide new approaches to merge, analyze, and process complex “big data” and gain more actionable insights, understanding, and knowledge at an individual and population level. Medical staff can be helped by AI-assisted clinical decision support (CDS), i.e., machine learning (ML) and deep learning (DL) models that analyze large medical datasets. They do this by summarizing radiology and pathology reports by means of natural language processing (NLP), automating repetitive but time-consuming tasks, and much more. Patients can talk to chatbots who have access to all medical knowledge in the world, including the patient’s medical history, and provide personalized advice. This Special Issue intends to show some examples of how AI impacts healthcare, with some discussion on potential future developments as well as challenges. Since this Special Issue contains papers from 2023 and 2024, the era of Generative AI (GenAI), naturally there are papers related to ChatGPT and chatbots. There are also papers on prediction modeling in primary care, polychronic conditions, and heart disease. Other papers focus on the classification of colon cancer and Alzheimer’s disease. Finally, this Special Issue also includes papers on orthodontic diagnosis and treatment planning, anxiety treatment, and explainable AI (XAI).</text>
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                <text>The aim of this Special Issue was to update readers with the latest research in different areas of orthodontics, with an emphasis on diagnostic and therapeutic advances to widen our knowledge and support scientific and clinical activities. In recent years, new diagnostic and treatment approaches in orthodontics have emerged, and researchers and practitioners must stay current with these innovations. Artificial intelligence (AI) development has advanced, allowing experts to provide better alternatives to patients, make more precise diagnoses, and reduce treatment costs and time frames. New technologies and procedures, such as intraoral scanners, digital models, and measurements, along with the increasing use of CBCT, have slowly grown, enhancing overall patient care, treatment plan management, and prevention, particularly in the early stages. Currently, impacted teeth, facial deformities, OSA, and other oral disorders or pathologies may be detected more quickly, allowing for more direct and timely communication and enhancing patient compliance. Furthermore, technology has enabled the accurate timing and positioning of many types of orthodontic devices, such as functional appliances and mini-screws, and the ability to determine which factors are connected to the orthodontic treatment movement (OTM). The literature is regularly expanding, allowing doctors to provide more effective and less onerous therapies for each patient.</text>
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