Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This study describes an AI-powered system for diagnosing dermatological conditions, achieving a weighted score of 0.87 in both contextual understanding and diagnostic accuracy, suggesting it could enhance tele-dermatology applications by supporting remote consultations and care access in underserved regions.

This research explores the potential of the metaverse for transforming dermatology, particularly in treating hair and nail disorders through virtual consultations and support communities, but highlights significant challenges such as technological limitations, accessibility for underserved populations, and the need for empirical validation.

This study describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.

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.

In this study, artificial intelligence's integration into Indian aesthetic medicine has expanded from consumer apps to crucial roles in diagnostics, treatment planning, and clinic management, driven by demands for precise data over subjective opinions and enhancing competitive advantage.

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 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.

This study found that the extracts of Serenoa repens, when evaluated through chemical, biological, and in silico methods, demonstrated anti-inflammatory, pro-apoptotic, and anti-androgenic activities against prostate cancer cell lines, suggesting potential therapeutic benefits and directing future pharmaceutical development.

This review highlights new perspectives in genomics and epigenomics for skin rejuvenation, comparing innovative strategies like senolytics and DNA repair modulators with classical treatments, and emphasizing the importance of tailoring therapies using individual genomic profiles for personalized anti-ageing approaches.

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 highlights the potential of self-powered nanogenerators in revolutionizing biomedical devices by using biomechanical or environmental energy, focusing on applications like regenerative hair growth, drug release patches, and electronic skin while evaluating challenges such as energy efficiency and biocompatibility.

AI and advanced technologies are improving medical diagnostics and treatments.

This study developed BroadAMP-GPT, a computational-experimental framework, to discover new antimicrobial peptides, identifying candidates effective against multidrug-resistant pathogens. Notably, AMP_S13 showed strong stability, low toxicity, and efficacy in infection models, highlighting the platform's potential in combating antimicrobial resistance.

In this review, the potential role of the hormone prolactin in skin biology and its implications for treating skin diseases and hair disorders are explored, with a focus on its stress-related impacts and possible immunomodulatory function in the context of COVID-19.

This study presents a new wireless bioelectronic system powered by ambient Wi-Fi signals that enhances wound healing by providing electrical stimulation and real-time monitoring, offering a promising solution for at-home treatment and regenerative therapy.

This article provides an overview of microneedle technology for transcutaneous drug delivery, discussing microneedle designs, materials, and activation methods that enhance drug stability and regulated release, and outlines considerations for their successful clinical implementation, such as biocompatibility and production cost.

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 review discusses recent progress in PENG-based sensors for non-invasive medical diagnosis and treatment but reports no new experimental results.

In this review, several studies on Astragalus species, particularly Astragalus membranaceus, highlight their skin rejuvenating, photoprotective, antimicrobial, and wound-healing properties, though the authors note limitations due to reliance on non-human studies and short trial durations.

At the 21st Royan International Stem Cell Congress, researchers highlighted the growing integration in regenerative medicine, emphasizing advances in pluripotency, AI applications, and bioengineering for the development of accessible stem cell therapies.

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 synthesizes research on solar radiation's multifaceted effects on skin and recent advancements in sunscreen technology, including formulation, testing methods, and the use of AI, to inform future sun protection product development.

This research discusses the shift in cosmetic dermatology towards integrating regenerative medicine, AI, and personalized care, highlighting their potential to improve aesthetic outcomes and skin function while considering ethical and regulatory challenges.

In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.

This review highlights cellulose-based materials' potential in skin disease treatments, emphasizing their smart, responsive design for various conditions, with insights into their roles in wound healing, infection prevention, and wearable monitoring.

This review examines the current applications and potential of artificial intelligence in healthcare, highlighting its role in improving prevention, diagnosis, and treatment across multiple major disease areas, but reports no new experimental findings.

This presentation discusses the importance of fluid therapy in critical care, reviewing current data, guidelines, and emerging technologies to help clinicians make informed decisions about fluid type and volume for treating critically ill patients. Results are not reported in this abstract.

This review explores the recent developments and diverse applications of microneedles in drug delivery and diagnostic platforms but reports no new clinical results.

This study reviews AI's role in aesthetic medicine, noting it enhances diagnostic accuracy and personalized treatment planning, but faces challenges like ethical concerns, algorithmic biases, and regulatory issues that need addressing for successful integration.

This study explored the role of AI technologies in plastic and reconstructive surgery, highlighting their potential across preoperative, intraoperative, and postoperative stages, while also identifying challenges like data privacy and regulatory issues that must be addressed for successful implementation.