Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV by Mercadal-Orfila G, Serrano López de las Hazas J, Riera-Jaume M, Herrera-Perez S

“…Additionally, the model demonstrated strong reliability in maintaining standardized prediction errors below 0.2 for most instruments, with probabilities of achieving this threshold being 96.43% for WHOQoL HIV Bref and 88.44% for ESTAR, while lower probabilities were observed for TSQM (44%) and WRFQ (51%).Conclusion: The results from our machine learning algorithms are promising for predicting PROMs and PREMs in AIDS settings. This work highlights how integrating ML technologies can enhance clinical pharmaceutical decision-making and support personalized treatment strategies within a multidisciplinary integration framework. …”
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E-Cigarette Use and Use of Evidence-Based Smoking Cessation Methods Among American Indian Cigarette Smokers: A Cross-Sectional Analysis by Ashley L. Comiford, DrPH, Dorothy A. Rhoades, MD, MPH, Justin D. Dvorak, PhD, Kai Ding, PhD, Noah Collins, Alexandra L. Blair, Mark P. Doescher, MD, MSPH

“…Conclusions: These results suggest that persons who use E-cigarettes are more likely than individuals who do not use E-cigarettes to previously have tried nicotine replacement therapy but less likely to use the cold turkey method. …”
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Reinforcing cancer immunotherapy with engineered porous hollow mycobacterium tuberculosis loaded with tumor neoantigens by Jie Jiang, Feng-Ying Huang, Shu-Zhen Dai, Guang-Hong Tan, Ming-Hui Chen, Hengyu Chen, Wu-Ping Zheng, Ri-Hong Wu, Weijing Xie

“…Fluorescence microscopy was used to detect PAMPs and adhesion molecules on phMTb as well as to observe its role in aiding dendritic cells (DCs) in antigen uptake into endosomes or lysosomes. …”
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Improving the experience of health services for trans and gender-diverse young people and their families: an exploratory qualitative study by Melissa Stepney, Samantha Martin, Magdalena Mikulak, Sara Ryan, Jay Stewart, Richard Ma, Adam Barnett

“…Many participated in ‘mutual aid’ where there were reciprocal relationships of help between friends and communities. …”
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