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Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy
CONCLUSION: In conclusion, the CNN based method with the proposed scaling procedures can be employed to quantify in vivo MRS spectra and derive metabolites concentrations in IU. The SE can be used as error index, indicating predicted uncertainties for metabolites and sharing information similar to the absolute CRLB.PMID:37713007 | DOI:10.1007/s10334-023-01120-z
Source: Magma - September 15, 2023 Category: Radiology Authors: Yu-Long Huang Yi-Ru Lin Shang-Yueh Tsai Source Type: research
Physical model-based cascaded generative adversarial networks for accelerating quantitative multi-parametric magnetic resonance imaging
CONCLUSION: Compared with other existing methods, the physical model-based cascaded generative adversarial networks can reconstruct more image details and features, thus improving the quality and accuracy of the reconstructed images.PMID:37712278 | DOI:10.12122/j.issn.1673-4254.2023.08.18
Source: Journal of Southern Medical University - September 15, 2023 Category: Universities & Medical Training Authors: Y Liu Z Chu Y Zhang Source Type: research
A Dual-Aware deep learning framework for identification of glioma isocitrate dehydrogenase genotype using magnetic resonance amide proton transfer modalities
CONCLUSION: The proposed deep learning algorithm model constructed based on the image characteristics of the APT modality is effective for glioma IDH genotyping and identification task and may potentially replace the commonly used T1CE modality to avoid contrast agent injection and achieve non- invasive IDH genotyping.PMID:37712275 | DOI:10.12122/j.issn.1673-4254.2023.08.15
Source: Journal of Southern Medical University - September 15, 2023 Category: Universities & Medical Training Authors: Z Chu Y Qu T Zhong S Liang Z Wen Y Zhang Source Type: research
Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair
CONCLUSIONS: In this data set, machine learning was able to predict 1-year mortality following EVAR using preoperative data and outperformed standard logistic regression models.PMID:37710397 | DOI:10.1093/bjs/znad287
Source: The British Journal of Surgery - September 15, 2023 Category: Surgery Authors: Ben Li Badr Aljabri Raj Verma Derek Beaton Naomi Eisenberg Douglas S Lee Duminda N Wijeysundera Thomas L Forbes Ori D Rotstein Charles de Mestral Muhammad Mamdani Graham Roche-Nagle Mohammed Al-Omran Source Type: research
Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research
Incorporating Interprofessional Education into a Required Introductory Pharmacy and Nursing Didactic Course
CONCLUSION: Including joint IPE sessions in a foundational didactic course was a feasible and successful IPE component. Sessions provided students with experience practicing foundational skills for interprofessional communication and teamwork. Students reported high satisfaction and valued the sessions, as indicated by quantitative surveys and qualitative themes.PMID:37714658 | DOI:10.1016/j.ajpe.2023.100123
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Jonathan Thigpen Deborah Naccarini Sherry L Moore Nicole S Culhane Source Type: research
A Genetics-Focused Lens on Social Constructs in Pharmacy Education
Am J Pharm Educ. 2023 Sep;87(9):100077. doi: 10.1016/j.ajpe.2023.100077. Epub 2023 May 10.ABSTRACTOBJECTIVE: Incorporating diversity, equity, inclusion, and anti-racism principles into clinical and didactic education is essential because each influence cognitive and affective attitudes in pharmacy practice. Educators must learn from the past to enlighten the future. For example, race is a social construct, not a biological construct. However, it persistently acts as a surrogate for determining medical diagnoses and treatment.FINDINGS: Precision medicine and pharmacogenomics can serve as a basis for deconstructing social co...
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Justina Lipscomb Marina G álvez-Peralta Cheryl D Cropp Elina Delgado Rustin Crutchley Diane Calinski Otito Iwuchukwu Source Type: research
Readiness of Pharmacists as Providers of Social Determinants of Health and Call to Action
Am J Pharm Educ. 2023 Sep;87(9):100051. doi: 10.1016/j.ajpe.2022.10.011. Epub 2023 Mar 15.ABSTRACTSocial determinants of health (SDOH) are defined as the conditions in the environments where people are born, live, learn, work, play, worship, and age. SDOH has an enormous impact on achieving the goals set by Healthy People 2030. With their education and training, pharmacists are in an ideal position to provide SDOH services. Community pharmacists should take innovative approaches in collaboration with the Community Pharmacy Enhanced Services Network to develop standard protocols for SDOH and reimbursements for these service...
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: M Omar Faruk Khan L Douglas Ried Source Type: research
Pharmacy Students Practicing Health Advocate Competency Roles in Workplace-Based Training
CONCLUSION: Pharmacy students construct health advocacy roles in workplace-based training through biomedical-oriented practices with little direct input offered by supervisors. Pharmacy educational outcomes require contemporary updates to health advocacy competency descriptions which offer examples for practical enactment at system-level and recommendations for feedback and assessment.PMID:37714657 | DOI:10.1016/j.ajpe.2023.100118
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Mojan Fazelipour Amninder Dhatt Tom Sun Arwa Nemir Kerry Wilbur Source Type: research
A Call to Action to Address Well-Being Within Experiential Education
Am J Pharm Educ. 2023 Sep;87(9):100078. doi: 10.1016/j.ajpe.2023.100078. Epub 2023 May 9.ABSTRACTThere is a significant lack of literature exploring or describing pharmacy student well-being during experiential learning even though students spend 30% of their doctor of pharmacy curricula in this environment. Drawing on inspiration from literature describing well-being challenges and solutions for pharmacy residents and other health disciplines, this commentary explores the unique challenges of supporting pharmacy student well-being during experiential education. Approaches for interventions are described along with a call ...
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Kate Newman Suzanne Larson Melissa J Ruble Misha Thomason Watts Source Type: research
Backward Design to Combat Curricular Expansion in a Large, Interdisciplinary, Team-Taught Course
CONCLUSION: Using backward design as a framework to intentionally evaluate didactic content volume and assessment alignment can address curricular expansion while maintaining student learning and decreasing student and instructor stress.PMID:37714652 | DOI:10.1016/j.ajpe.2022.12.009
Source: American Journal of Pharmaceutical Education - September 15, 2023 Category: Universities & Medical Training Authors: Kristine M Cline Marjorie M Winhoven Victoria L Williams Katherine A Kelley Brianne L Porter Source Type: research
Machine Learning: a New Approach for Dose Individualization
Clin Pharmacol Ther. 2023 Sep 15. doi: 10.1002/cpt.3049. Online ahead of print.ABSTRACTThe application of machine learning (ML) has shown promising results in precision medicine due to its exceptional performance in dealing with complex multidimensional data. However, using ML for individualized dosing of medicines is still in its early stage, meriting further exploration. A systematic review of study designs and modeling details of using ML for individualized dosing of different drugs was performed. We have summarized the status of the study populations, predictive targets, and data sources for ML modeling, the selection ...
Source: Clinical Pharmacology and Therapeutics - September 15, 2023 Category: Drugs & Pharmacology Authors: Qiu-Yue Li Bo-Hao Tang Yue-E Wu Bu-Fan Yao Wei Zhang Yi Zheng Yue Zhou John van den Anker Guo-Xiang Hao Wei Zhao Source Type: research
Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort
CONCLUSIONS: This study demonstrated a deep learning-based auto-segmentation model trained on curated clinical delineations which performs on par with a model trained on dedicated delineations, making it easier to develop multi-institutional auto-segmentation models.PMID:37712509 | DOI:10.1080/0284186X.2023.2252582
Source: Acta Oncologica - September 15, 2023 Category: Cancer & Oncology Authors: Emma Riis Skars ø Lasse Refsgaard Abhilasha Saini Ditte Sloth M øller Ebbe Laugaard Lorenzen Else Maae Karen Andersen Maja Vestm ø Maraldo Marie Louise Milo Tine Bisballe Nyeng Birgitte Vrou Offersen Stine Sofia Korreman Source Type: research
The Philadelphia Lung Cancer Learning Community: A Multi-Health-System, Citywide Approach to Lung Cancer Screening
CONCLUSIONS: The sociodemographic characteristics of LCS participants in Philadelphia varied by health system and neighborhood. These results suggest that a multi-center approach to LCS can identify vulnerable areas for future tailored approaches to improving LCS uptake. Future directions should leverage these findings to develop and test collaborative strategies to increase LCS at the community and regional levels.PMID:37713466 | DOI:10.1093/jncics/pkad071
Source: Cancer Control - September 15, 2023 Category: Cancer & Oncology Authors: Julie A Barta Cherie P Erkmen Christine S Shusted Ronald E Myers Chelsea Saia Sarah Cohen Jocelyn Wainwright Charnita Zeigler-Johnson Farouk Dako Richard Wender Gregory C Kane Anil Vachani Katharine A Rendle Source Type: research
Automated contouring and statistical process control for plan quality in a breast clinical trial
CONCLUSIONS: An automated contouring model in a statistical process control framework was appropriate for assessing planning consistency in a breast radiotherapy clinical trial.PMID:37712064 | PMC:PMC10498301 | DOI:10.1016/j.phro.2023.100486
Source: Cancer Control - September 15, 2023 Category: Cancer & Oncology Authors: Hana Baroudi Callistus I Huy Minh Nguyen Sean Maroongroge Benjamin D Smith Joshua S Niedzielski Simona F Shaitelman Adam Melancon Sanjay Shete Thomas J Whitaker Melissa P Mitchell Isidora Yvonne Arzu Jack Duryea Soleil Hernandez Daniel El Basha Raymond Mu Source Type: research
