Can conventional brain MRI support the attribution process in neuropsychiatric SLE? A multicentre retrospective study by Carlo Alberto Scirè, Alessandra Bortoluzzi, Marcello Govoni, Matteo Piga, Antonis Fanouriakis, George Bertsias, Greta Carrara, Ettore Silvagni, Enrico Fainardi, Simone Appenzeller, Antonio Marangoni, Carlo Garaffoni

“…Objectives We aimed to investigate which elementary lesions, identified through conventional brain MRI, correlated with the attribution of neuropsychiatric (NP) manifestations of SLE as determined by clinical judgement (CJ) and a validated attribution algorithm (AA).Methods We conducted a multicentre, retrospective cohort study of patients with SLE (1999–2018) from four tertiary SLE centres. …”
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Emergency Medical Care for Victims with Crush Syndrome at the Pre-Hospital Stage by V. Orlyk

“…The study emphasizes that assistance for CS-victims must be organized according to a clear and coordinated algorithm corresponding to evacuation zones - at the scene, in red, yellow, and green zones, as well as during transportation and hospitalization. …”
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Isolation of a natural DNA virus of Drosophila melanogaster, and characterisation of host resistance and immune responses. by William H Palmer, Nathan C Medd, Philippa M Beard, Darren J Obbard

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Integrating multi-omics data to optimize immunotherapy in endometrial cancer: a comprehensive study by Xin Guan, Rongchuan Cao, Longbi Liu, Lin Ma, Ning Gao, Yanfei Yang, Mingyue Xiao, Rui Du, Yuzhe Su, Zhen Wang, Xiaofeng Liu, Lu Han

“…In independent cohorts, the Scissor algorithm suggests that macrophages may exert a substantial impact on immunotherapy response in patients with EC. …”
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A machine learning based radiomics approach for predicting No. 14v station lymph node metastasis in gastric cancer by Tingting Ma, Tingting Ma, Tingting Ma, Tingting Ma, Tingting Ma, Mengran Zhao, Mengran Zhao, Mengran Zhao, Mengran Zhao, Mengran Zhao, Xiangli Li, Xiangchao Song, Xiangchao Song, Xiangchao Song, Xiangchao Song, Lingwei Wang, Lingwei Wang, Lingwei Wang, Lingwei Wang, Zhaoxiang Ye, Zhaoxiang Ye, Zhaoxiang Ye, Zhaoxiang Ye

“…The diagnostic ability of the signature and model were evaluated.ResultsLR algorithm was chosen for signature construction. The radiomics signature exhibited good discrimination accuracy of 14vM with AUCs of 0.83 in the training and 0.77 in the testing set. …”
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Identification of veterinary and medically important blood parasites using contrastive loss-based self-supervised learning by Supasuta Busayakanon, Morakot Kaewthamasorn, Natchapon Pinetsuksai, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang, Veerayuth Kittichai

“…The input data were subjected to SSL model training using the Bootstrap Your Own Latent (BYOL) algorithm with Residual Network 50 (ResNet50), ResNet101, and ResNet152 as the backbones. …”
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A non-invasive nomogram for predicting heart failure with preserved ejection fraction in taiwanese outpatients with unexplained dyspnea and fatigue by Yi-Wei Chung, Jen-Fang Cheng, Yen-Liang Lin, Hung-Jui Chuang, Chia-Chuan Chuang, Cheng-Wei Chen, Wei-Ming Huang, Cho-Kai Wu, Lian-Yu Lin

“…Background: While Reddy proposed the H2FPEF diagnostic algorithm to aid in diagnosing heart failure with preserved ejection fraction (HFpEF), certain parameters like age and obesity are not suitable for Asian population, especially given the increasing incidence of HFpEF in younger individuals. …”
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Molecular Classification of Large B-Cell Lymphoma and High-Grade B-Cell Lymphoma Cases and Association with Outcomes in Morocco by Mahat Taybi, Zineb Khammar, Noufissa Alami Drideb, Rhizlane Berrady, Sanae Benmiloud, Laila Bouguennouch, Sanae Elfakir, Laila Tahiri, Mohammed Majdoub, Laila Chbani, Nawal Hammas

“…First-line treatment with the RCHOP chemotherapy protocol may not be effective for all aggressive DLBCL cases. …”
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Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols by Na Kong, Yu Xia, Zhilong Wang, Hui Zhang, Liyan Duan, Yingchun Zhu, Chenyang Huang, Guijun Yan, Jie Mei, Wujun Li, Haixiang Sun

“…Final dose predictions were generated using a K-nearest neighbor algorithm applied to low-dimensional latent representations derived from the deep encoder layers. …”
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Characterization of a non-nudix pyrophosphatase points to interplay between flavin and NAD(H) homeostasis in Saccharomyces cerevisiae. by Joseph H Lynch, Na Sa, Sompop Saeheng, Nadia Raffaelli, Sanja Roje

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The relationship between low perceived numeracy and cancer knowledge, beliefs, and affect. by Katherine Ross, Justin Stoler, Nick Carcioppolo

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Evaluation of phenotypic and functional stability of RAW 264.7 cell line through serial passages. by Bartłomiej Taciak, Maciej Białasek, Agata Braniewska, Zuzanna Sas, Paulina Sawicka, Łukasz Kiraga, Tomasz Rygiel, Magdalena Król

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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…Methods and testing: TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. …”
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Deep Learning−Driven Exophthalmometry through Facial Photographs in Thyroid Eye Disease by Joonhyeon Park, PhD, Jin Sook Yoon, MD, PhD, Namju Kim, MD, PhD, Kyubo Shin, PhD, Hyun Young Park, MD, PhD, Jongchan Kim, MS, Jaemin Park, MS, Jae Hoon Moon, MD, PhD, JaeSang Ko, MD, PhD

“…Financial Disclosure(s): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.…”
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New framework for the development of clinical guidelines in Russia by D. V. Blinov, E. S. Akarachkova, A. S. Orlova, E. V. Kryukov, D. I. Korabelnikov

“…For example, the updated regulatory acts do not specify the deadlines and algorithms for updating the CG; these acts do not address the coordination between various medical non-profit organizations although such coordination is needed to avoid work duplication; the acts determine no specific resources required for the CG development (the latter flaw may have a negative impact on the quality and timing of the resulting CG). …”
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COVID-19 Vaccination and Transient Increase in CD4/CD8 Cell Counts in People with HIV: Evidence from China by Yanyan Li, Yingying Lin, Yunyun Yi, Na Zhu, Xinyu Cui, Xin Li

“…Unvaccinated PWH were matched 1:3 with vaccinated PWH using a propensity score matching algorithm. Differences in immuno-virological markers between the matched groups were analyzed. …”
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Cervical radiculopathy management with physical, chiropractic, and acupuncture therapy: Factors associated with different therapy utilization patterns by Anthony E. Seddio, BS, Beatrice M. Katsnelson, BA, Michael J. Gouzoulis, BS, Sahir S. Jabbouri, MD, Anshu Jonnalagadda, BS, Wesley Day, BS, Daniel R. Rubio, MD, Jonathan N. Grauer, MD

“…Following diagnosis, patients may seek conservative management including physical therapy (PT), chiropractic therapy (CT), and acupuncture therapy (AT). …”
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Rhaponticin inhibits the proliferation, migration, and invasion of head and neck squamous cell carcinoma (HNSCC) cells through modulation of the IL6/STAT3 signaling pathway by Hongcheng Wei, Shanshan Wang, Jiayue Wan, Sicheng Li, Wei Wang, Jiajun Zhu, Lin Jiang, Yisen Shao, Yuan Wu

“…Using the CIBERSORT algorithm, we assessed the differences in infiltration levels of 22 immune cell types between the high and low IL-6 expression groups. …”
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Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis by Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev

“…Developed by OpenAI, the Generative Pre-trained Transformer 3.5 model (GPT-3) may provide enhanced decision support for surgeons in less certain appendicitis cases or those posing a higher risk for (relative) operative contra-indications. …”
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Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study. by Sam Hodgson, Qin Qin Huang, Neneh Sallah, Genes & Health Research Team, Chris J Griffiths, William G Newman, Richard C Trembath, John Wright, R Thomas Lumbers, Karoline Kuchenbaecker, David A van Heel, Rohini Mathur, Hilary C Martin, Sarah Finer

“…We show that a T2D PRS optimised for this high-risk BPB population has potential clinical application in BPB, improving the identification of T2D risk (especially in the young) on top of an established clinical risk algorithm and aiding identification of subgroups at diagnosis, which may help future efforts to stratify care and treatment of the disease.…”
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