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Development of Two Korean IACUC Guidance Documents to Foster Implementation of the Three Rs
Altern Lab Anim. 2023 Aug 20:2611929231194309. doi: 10.1177/02611929231194309. Online ahead of print.ABSTRACTIn Korea, Institutional Animal Care and Use Committees (IACUCs) have been legally required to apply the Three Rs principles (i.e. replacement, reduction and refinement) and undertake the ethical review of animal study protocols, since 2008. According to Korean law, each IACUC is required to appoint at least one lay member recommended by a non-governmental animal protection organisation, who participates in the ethical review process as part of this role. Despite the importance of the Three Rs and the ethical review ...
Source: Alternatives to Laboratory Animals : ATLA - August 21, 2023 Category: Research Authors: Gwi Hyang Lee Heui-Jin Kim Young-Shin Joo Seung Yeon Kim Barney Reed Lynette A Hart Byung In Choe Source Type: research
Water fluoridation in Australia: A systematic review
Environ Res. 2023 Aug 18:116915. doi: 10.1016/j.envres.2023.116915. Online ahead of print.ABSTRACTWater fluoridation is considered a safe and effective public health strategy to improve oral health. This review aimed to systematically summarize the available evidence of water fluoridation in Australia, focusing on the history, health impacts, cost effectiveness, challenges, and limitations. A systematic search was conducted on the Ovid Medline, Web of Science, Scopus, ProQuest Central, Cinahl, and Informit databases to identify literature on water fluoridation in Australia. A grey literature search and backward snowballing...
Source: Environmental Research - August 20, 2023 Category: Environmental Health Authors: Lalantha Senevirathna Himali Erandathie Ratnayake Nadeeka Jayasinghe Jinlong Gao Xiaoyan Zhou Shanika Nanayakkara Source Type: research
The role of financial markets in the energy transition: an analysis of investment trends and opportunities in renewable energy and clean technology
Environ Sci Pollut Res Int. 2023 Aug 21. doi: 10.1007/s11356-023-29014-6. Online ahead of print.ABSTRACTThe crucial role that financial markets have played in accelerating the shift to clean energy and renewable sources of energy is examined in this article. Thus, we built global essential mineral trade networks from 1999 to 2020 using a complex network technique to analyze their topological properties quantitatively. The impact of crucial mineral trade patterns on the growth of renewable energy is then examined using the dynamic econometric model, along with the mediating function of technological advancement in renewable...
Source: Environmental Science and Pollution Research International - August 20, 2023 Category: Environmental Health Authors: Bin Li Source Type: research
Global and regional estimates of genital human papillomavirus prevalence among men: a systematic review and meta-analysis
Lancet Glob Health. 2023 Sep;11(9):e1345-e1362. doi: 10.1016/S2214-109X(23)00305-4.ABSTRACTBACKGROUND: The epidemiology of human papillomavirus (HPV) in women has been well documented. Less is known about the epidemiology of HPV in men. We aim to provide updated global and regional pooled overall, type-specific, and age-specific prevalence estimates of genital HPV infection in men.METHODS: We conducted a systematic review and meta-analysis to assess the prevalence of genital HPV infection in the general male population. We searched Embase, Ovid MEDLINE, and the Global Index Medicus for studies published between Jan 1, 1995...
Source: Cancer Control - August 17, 2023 Category: Cancer & Oncology Authors: Laia Bruni Ginesa Albero Jane Rowley Laia Alemany Marc Arbyn Anna R Giuliano Lauri E Markowitz Nathalie Broutet Melanie Taylor Source Type: research
First-line cemiplimab monotherapy and continued cemiplimab beyond progression plus chemotherapy for advanced non-small-cell lung cancer with PD-L1 50% or more (EMPOWER-Lung 1): 35-month follow-up from a mutlicentre, open-label, randomised, phase 3 trial
Lancet Oncol. 2023 Aug 14:S1470-2045(23)00329-7. doi: 10.1016/S1470-2045(23)00329-7. Online ahead of print.ABSTRACTBACKGROUND: Cemiplimab provided significant survival benefit to patients with advanced non-small-cell lung cancer with PD-L1 tumour expression of at least 50% and no actionable biomarkers at 1-year follow-up. In this exploratory analysis, we provide outcomes after 35 months' follow-up and the effect of adding chemotherapy to cemiplimab at the time of disease progression.METHODS: EMPOWER-Lung 1 was a multicentre, open-label, randomised, phase 3 trial. We enrolled patients (aged ≥18 years) with histologically ...
Source: Cancer Control - August 17, 2023 Category: Cancer & Oncology Authors: Mustafa Özgüroğlu Saadettin Kilickap Ahmet Sezer Mahmut G ümüş Igor Bondarenko Miranda Gogishvili Marina Nechaeva Michael Schenker Irfan Cicin Gwo Fuang Ho Yaroslav Kulyaba Kasimova Zyuhal Roxana-Ioana Scheusan Marina Chiara Garassino Xuanyao He Man Source Type: research
Wellness Wheel Clinics: A First Nation community-partnered care model improving healthcare access, from healthcare providers' perspectives
Health Promot Int. 2023 Aug 1;38(4):daad079. doi: 10.1093/heapro/daad079.ABSTRACTFirst Nation people residing in rural and remote communities have limited primary healthcare access, which often affects chronic disease management leading to poor health outcomes. Individuals with lived experiences of chronic disease and substance use, along with health directors, advocated for improved services. Subsequently, an urban healthcare team in partnership with four First Nation communities developed an Outreach clinic to address healthcare access barriers. Established in 2016, this community-led clinic improves primary care access ...
Source: Rural Remote Health - August 17, 2023 Category: Rural Health Authors: Mamata Pandey Megan Clark Erin Beresh Solveig Nilson Cynthia Kay Trisha Campbell Susanne Nicolay Stuart Skinner Source Type: research
"Hi, How Can I Help You?" Embracing Artificial Intelligence in Kidney Research
Am J Physiol Renal Physiol. 2023 Aug 17. doi: 10.1152/ajprenal.00177.2023. Online ahead of print.ABSTRACTIn recent years, biology and precision medicine have benefited from the major advancements in generating large-scale molecular and biomedical datasets and in analyzing those data using advanced machine learning algorithms. Machine learning applications in kidney physiology and pathophysiology include segmenting kidney structures from imaging data and predicting conditions like acute kidney injury or chronic kidney disease using electronic health records. Despite the potential of machine learning to revolutionize nephrol...
Source: Am J Physiol Renal P... - August 17, 2023 Category: Urology & Nephrology Authors: Anita T Layton Source Type: research
Wellness Wheel Clinics: A First Nation community-partnered care model improving healthcare access, from healthcare providers' perspectives
Health Promot Int. 2023 Aug 1;38(4):daad079. doi: 10.1093/heapro/daad079.ABSTRACTFirst Nation people residing in rural and remote communities have limited primary healthcare access, which often affects chronic disease management leading to poor health outcomes. Individuals with lived experiences of chronic disease and substance use, along with health directors, advocated for improved services. Subsequently, an urban healthcare team in partnership with four First Nation communities developed an Outreach clinic to address healthcare access barriers. Established in 2016, this community-led clinic improves primary care access ...
Source: Rural Remote Health - August 17, 2023 Category: Rural Health Authors: Mamata Pandey Megan Clark Erin Beresh Solveig Nilson Cynthia Kay Trisha Campbell Susanne Nicolay Stuart Skinner Source Type: research
"Hi, How Can I Help You?" Embracing Artificial Intelligence in Kidney Research
Am J Physiol Renal Physiol. 2023 Aug 17. doi: 10.1152/ajprenal.00177.2023. Online ahead of print.ABSTRACTIn recent years, biology and precision medicine have benefited from the major advancements in generating large-scale molecular and biomedical datasets and in analyzing those data using advanced machine learning algorithms. Machine learning applications in kidney physiology and pathophysiology include segmenting kidney structures from imaging data and predicting conditions like acute kidney injury or chronic kidney disease using electronic health records. Despite the potential of machine learning to revolutionize nephrol...
Source: Am J Physiol Renal P... - August 17, 2023 Category: Urology & Nephrology Authors: Anita T Layton Source Type: research
