Health care systems primarily focus on patients after they present with disease, not before. The emerging field of precision health encourages disease prevention and earlier detection by monitoring health and disease based on an individual's risk. Active participation in health care can be encouraged with continuous health-monitoring devices, providing a higher-resolution picture of human health and disease. However, the development of monitoring technologies must prioritize the collection of actionable data and long-term user engagement.
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http://dx.doi.org/10.1126/scitranslmed.aao3612 | DOI Listing |
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January 2025
Department of Clinical Pharmacology, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, P. R. China.
Topical transdermal drug delivery for psoriasis remains a challenge because of the poor solubility of hydrophobic drugs and the limited penetration of the stratum corneum. In this study, a near-infrared (NIR) light-responsive thermosensitive hydrogel (PDLLA-PEG-PDLLA, PLEL)-based drug reservoir is developed that directly incorporated gold nanorods (GNRs) and methotrexate (MTX) in the sol state at low temperature, which is referred to as PLEL@GNR+MTX. The in vitro anti-psoriasis experiment indicated that, GNRs, as photothermal cores of composite hydrogel, not only triggered keratinocyte apoptosis but also promoted MTX release in a synergistic manner.
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December 2024
Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, IND.
Background The synthetic opioid tramadol is widely used as a pain reliever. Unlike other opioids, it is used freely worldwide, unaffected by international controls resulting in abuse and accidental intoxication. Analytical methods are necessary to prove tramadol abuse because 30% of the drug is excreted unchanged.
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December 2024
Orthopaedics, University Hospitals Birmingham National Health Service (NHS) Foundation Trust, Birmingham, GBR.
Introduction Artificial intelligence (AI)-powered tools are increasingly integrated into healthcare. The purpose of the present study was to compare fracture management plans generated by clinicians to those obtained from ChatGPT (OpenAI, San Francisco, CA) and Google Gemini (Google, Inc., Mountain View, CA).
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December 2024
Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.
View Article and Find Full Text PDFProstate cancer (PCa) has high prevalence rates in men and is a leading cause of cancer-related death. Transrectal (TR) biopsy has traditionally been the gold standard for diagnosis, but transperineal (TP) biopsy is increasingly favoured due to its lower infection risk. However, debate remains regarding which method has superior cancer detection rates.
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