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This review assesses the potential of smart dressings, engineered to respond to various stimuli, as advanced treatments for chronic inflammatory skin diseases by examining their activation mechanisms and proposing future developments like integrating AI and closed-loop monitoring for adaptive therapy.

This review highlights recent advancements in molecular understanding and treatment approaches for PCOS, including innovative drug delivery systems and AI-driven precision medicine, but provides no new clinical results.

In this study, the integration of artificial intelligence in medicine was discussed, highlighting its potential to enhance diagnostic processes, optimize therapies, and provide advanced patient monitoring despite challenges like data inconsistency and limited model transparency.

This study discusses the development of AI in dermatology and cosmetology, noting its use in skin cancer diagnosis and personalized cosmetics, while highlighting uncertainties about whether recent advancements represent significant medical progress or are influenced by marketing strategies.

This review explores the skin benefits of exercise and discusses how artificial intelligence can tailor exercise programs to individual skin health needs, emphasizing the potential of AI-driven strategies in cosmetic dermatology for more personalized and adaptive skincare approaches.

This review highlights evidence that exercise benefits skin health by enhancing collagen synthesis and reducing oxidative stress and discusses the potential of AI technology to personalize exercise programs, optimizing skin benefits based on individual needs and environmental factors.

This source reports that clinical trials using advanced Deep Brain Stimulation systems, augmented with AI to integrate kinematic data, eye tracking, and cognitive assessments, show promise in improving diagnostic accuracy and monitoring symptoms for patients with Parkinson's disease.

This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.

This source provides an overview of diagnostic and treatment innovations for gastrointestinal disorders, such as wireless capsule technology for motility assessment and new methods for treating constipation and nausea, highlighting both current and emerging techniques.

This study developed an AI-driven method for classifying cells in Follicular Lymphoma cases, achieving a 63% F1-score, precision, and recall in distinguishing centroblasts from other cell types using whole slide images at x20 resolution.

This review highlights recent advances in personalized transdermal drug delivery systems, noting their potential for improved treatment efficacy and safety, but identifies significant challenges in clinical translation.

This review discusses recent advancements in bone tissue engineering, emphasizing a shift from passive to smart responsive antibacterial strategies to prevent implant-associated infections, and highlights AI's role in optimizing bone scaffold design for personalized, infection-free implants.

This study introduces an extended approach to the Bonferroni procedure that accounts for correlations among endpoints, aiming to improve test power while maintaining strong control of the family-wise type I error rate in clinical trials.

This study suggests that artificial intelligence could significantly enhance histology education for medical and dental students, but its implementation faces challenges like cost, accuracy, and ethical considerations.

This study highlights that hydrogel formulations unexpectedly prolonged healing in trials, pointing to a need for design based on detailed pathophysiological insights rather than empirical methods, and suggests technologies like AI materials optimization and 3D bioprinting to aid their clinical use for cancer survivors.

This study highlights the growing role of artificial intelligence in vascular surgery, where AI improves diagnostic accuracy, surgical planning, and patient monitoring, ultimately enhancing clinical outcomes, shortening recovery times, and reducing healthcare costs.

This source reports that for treating keloids and hypertrophic scars, combination pharmacotherapy targeting multiple sites is generally more effective than using a single drug, though outcomes of individual therapies vary and the development of satisfying treatments is ongoing.

This review discusses the integration of Artificial Intelligence in non-surgical cosmetic procedures, highlighting its potential to improve personalized aesthetic care and operational efficiency while addressing ethical and regulatory challenges; it presents no new clinical findings.

This research explores the impact of advanced technologies, such as machine learning and robotics, on cardiothoracic surgery, noting that innovations like artificial hearts and enhanced circulatory support systems may improve patient outcomes by aiding diagnostics, surgery planning, and postoperative care.

In this review, researchers detail how immunosenescence and chronic neuroinflammation contribute to Parkinson's disease progression, exploring potential therapeutic strategies targeting this axis, such as senolytic agents and immune rejuvenation, while highlighting associated challenges and future research needs.

This abstract does not report specific research findings but describes a book titled "Medical Physics and Laser Technology: Advancements and Applications in Modern Healthcare," authored by Zahraa Zuhair Ghafel Saeid and colleagues, which is available for purchase.

This paper reviews AI integration in robotic surgical systems, highlighting enhanced precision and reduced fatigue but noting challenges like high costs and ethical concerns, suggesting responsible adoption to realize potential benefits for surgical care.

This review introduces a framework to integrate bioinspired conductive materials and advanced 3D/4D printing in regenerative medicine for dynamic, responsive tissue regeneration, emphasizing the potential of smart scaffolds to adapt to physiological cues.

In this study, researchers examined a patient with ZMYM2::FGFR1 fusion-positive leukemia, finding that Pemigatinib showed efficacy, while Ponatinib resistance was linked to a specific FGFR1 mutation. Other FGFR inhibitors demonstrated high effectiveness in ex vivo assays.

This research explores innovative methods to enhance drug delivery to the brain, including techniques like focal intra-arterial administration and temporary blood-brain barrier opening, aimed at improving treatment for brain disorders, the authors report.

This study reported the development of fluorescent markers using wide band gap metal oxides with rare earth ions for early tumor detection and treatment. Testing in animals showed high efficiency and selectivity, with potential applications in contrast-enhanced MRI, targeted drug delivery, and photodynamic cancer therapy.

This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.

This review discusses the advantages of robotic hair transplantation using the ARTAS iX robot compared to manual Follicular Unit Extraction, emphasizing enhanced precision, speed, and hair preservation capabilities, and reports no clinical results.

AI and advanced technologies are improving medical diagnostics and treatments.

This study explored AI's potential in trichology services, finding it beneficial for diagnostics and treatment supervision, but noted the importance of addressing legal considerations, particularly in the Polish market.