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Long-acting injectable in situ forming implants: Impact of polymer attributes and API.
Int J Pharm
December 2024
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269, USA. Electronic address:
Poly(DL-lactide-co-glycolide) (PLGA) and N-methyl-2-pyrrolidone (NMP)-based in situ forming implants are liquid formulations that solidify through phase separation following injection into the body. Drug is dissolved or suspended in the final formulation liquid prior to injection. Depending on the polymers used, the depots formed can deliver drug over different periods of time.
View Article and Find Full Text PDFDemystifying furan formation in foods: Implications for human health, detection, and control measures: A review.
Compr Rev Food Sci Food Saf
January 2025
Center of High Altitude Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Furan (C₄H₄O), an unintended hazardous compound, is formed in various thermally processed foods through multiple pathways, raising concerns due to its potential carcinogenicity in humans. The aim of this comprehensive review was to synthesize and evaluate the latest research on furan, from its formation by different precursors to its presence in diverse food matrices, as well as the emerging methods for its detection and mitigation. Emphasizing the toxicity of furan, it explored evidence from in vitro and in vivo studies, including reproductive toxicity, carcinogenic effects, and related biomarkers.
View Article and Find Full Text PDFBMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.
Sci Data
December 2024
Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, 02912, USA.
In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually edited out, or are prepared using the conventional Pap smear method. Multicellular liquid Pap image datasets are a more accurate reflection of current cervical screening techniques.
View Article and Find Full Text PDFExploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.
BMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFBias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.
BMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
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