Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration by Sangzin Ahn

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Unraveling the genetic connections for mitochondrial DNA control region and breast cancer susceptibility by Namra Khalid, Muhammad Umer Khan, Raima Rehman, Shamsa Kanwal, Tazeen Zahid, Muhammad Usman Ghani, Ayesha Iftikhar, Qurban Ali, Muhammad Arshad Javed

“…The study reveals a significant abundance of haplogroup M in breast cancer cases by analyzing breast cancer patients and healthy controls through mitochondrial control region genome sequencing (p < 0.001). Increased frequencies of haplogroups M, H, and R in patients compared to controls suggest their potential role in breast cancer susceptibility. …”
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Integrated TWAS, GWAS, and RNAseq results identify candidate genes associated with reproductive traits in cows by Sevda Hosseinzadeh, Seyed Abbas Rafat, Lingzhao Fang

“…The identified genes serve as markers for genomic selection aimed at enhancing reproductive traits in cow.…”
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Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review by Sejun Oh, SangHeon Lee

“… BackgroundRehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other “-omics” fields, aims to promote personalized approaches to rehabilitation care. …”
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Aweak phenotype associated with novel ABO*A allele variant c.106delinsGG by Sanmukh Ratilal Joshi, Glenda Millard, Mayuri Vekariya, Priya Radadiya, Manisha Rajapara, Hiren Dhanani, Gaurav Shastri, Prabhat Sharma, Brett Wilson, Yew-Wah Liew

“…Binary alignment mapping files, generated on board the Illumina MiSeq instrument and aligned to the GRCh37/Hg19 reference genome, were uploaded to the QIAGEN CLC genomics workbench software (version. 20) where variant call files were generated and analyzed. …”
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To describe the subsets of malignant epithelial cells in gastric cancer, their developmental trajectories and drug resistance characteristics by Tingting Xu, Tianying Zhang, Yan Sun, Sijia Wu

“…This study employed single-cell RNA sequencing, using the 10 × Genomics platform, to analyze 262,532 cells from gastric cancer samples, identifying 32 distinct clusters and 10 major cell types, including immune cells (e.g., T cells, monocytes) and epithelial subpopulations. …”
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Engagement of the Mannose Receptor by Tumoral Mucins Activates an Immune Suppressive Phenotype in Human Tumor-Associated Macrophages by P. Allavena, M. Chieppa, G. Bianchi, G. Solinas, M. Fabbri, G. Laskarin, A. Mantovani

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Hippocampal Regulation of Postsynaptic Density Homer1 by Associative Learning by Nicholas E. Clifton, Darren Cameron, Simon Trent, Lucy H. Sykes, Kerrie L. Thomas, Jeremy Hall

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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…The study focuses on mitigating the curse of dimensionality by implementing Support Vector Machine – Recursive Feature Elimination (SVM-RFE) as the selected feature selection method in the lung cancer (LUSC) multi-omics dataset integrated from three single omics dataset comprising genomics, transcriptomics and epigenomics, and assess the quality of the selected feature subsets using SDAE and VAE deep learning classifiers. …”
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Usefulness of C-Reactive Protein as a Marker for Prediction of Future Coronary Events in the Asian Indian Population: Indian Atherosclerosis Research Study by Veena S. Rao, Natesha B. Kadarinarasimhiah, Shibu John, Sridhara Hebbagodi, Jayashree Shanker, Vijay V. Kakkar

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Identifiability of mathematical models in medical biology by S. I. Kabanikhin, D. A. Voronov, A. A. Grodz, O. I. Krivorotko

“…Analysis of biological data is a key topic in bioinformatics, computational genomics, molecular modeling and systems biology. The methods covered in this article could reduce the cost of experiments for biological data. …”
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How the Knowledge of Interactions between Meningococcus and the Human Immune System Has Been Used to Prepare Effective Neisseria meningitidis Vaccines by R. Gasparini, D. Panatto, N. L. Bragazzi, P. L. Lai, A. Bechini, M. Levi, P. Durando, D. Amicizia

“…In the last decades, tremendous advancement in dissecting the mechanisms of pathogenicity of Neisseria meningitidis at a molecular level has been achieved, exploiting converging approaches of different disciplines, ranging from pathology to microbiology, immunology, and omics sciences (such as genomics and proteomics). Here, we review the molecular biology of the infectious agent and, in particular, its interactions with the immune system, focusing on both the innate and the adaptive responses. …”
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Pharmacogenomics Tools for Precision Public Health and Lessons for Low- and Middle-Income Countries: A Scoping Review by Borbón A, Briceño JC, Valderrama-Aguirre A

“…The objective of this study was to conduct a scoping review of technological tools, examining their evolution, the predominance of high-income countries in their development, and the gaps and needs for genomic data and advances in low- and middle-income countries (LMICs). …”
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Interspecific hybridization of potato: theoretical and applied aspects by T. A. Gavrilenko, A. P. Yermishin

“…To date, molecular genetics, genomics, and biotechnology have accumulated a large amount of information, allowing the problems of extension of the genetic diversity of common potato to be addressed. …”
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Frugivore Traits Predict Plant–Frugivore Interactions Using Generalized Joint Attribute Modeling by Laurel R. Yohe, Leith B. Leiser‐Miller, Zofia A. Kaliszewska, Susan R. Whitehead, Sharlene E. Santana, Liliana M. Dávalos

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The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

“…Furthermore, it explained the indispensable role of pathology and histopathology in cancer diagnosis, emphasizing AI's potential to augment traditional methods and improve diagnostic precision. Genomics and personalized medicine were explored as integral components of cancer detection, illustrating how AI facilitates tailored treatment strategies by analyzing vast genomic datasets. …”
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The landscape of nucleotide diversity in Drosophila melanogaster is shaped by mutation rate variation by Barroso, Gustavo V, Dutheil, Julien Y

“…What shapes the distribution of nucleotide diversity along the genome? Attempts to answer this question have sparked debate about the roles of neutral stochastic processes and natural selection in molecular evolution. …”
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Efficacy of CLT4A variants as immunoregulatory molecules among Vitiligo patients in Saudi Arabia by Amal F. Alshammary, Ghada BinSaif, Imran Ali Khan

“…The recruitment was based on the sample size calculation and based on it, we have recruited 300 Saudi individuals who were evenly divided into vitiligo cases and controls. Extracted genomic DNA was utilized to amplify rs231775 and rs3087243 SNPs in the CTLA4 gene, which were subsequently digested and verified using Sanger sequencing. …”
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Therapeutic rigid bronchoscopy for endobronchial glomus tumors: a case series by Rong Lih Ho, Byeong-Ho Jeong, Joungho Han, Hojoong Kim

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Rift Valley Fever in Rwanda Is Urging for Enhancing Global Health Security Through Multisectoral One Health Strategy by Claude Mambo Muvunyi, Jean Claude Semuto Ngabonziza, Emmanuel Edwar Siddig, Ayman Ahmed

“…We recommend exploring cost-effective human and/or animal vaccination mechanisms for RVF, integrating AI-powered drones into dis-ease vectors surveillance and control, and the routine implementation of genomics-enhanced xenosurveillance to monitor changes in pathogens and vectors dynamics in order to inform poli-cymaking and guide the control interventions.…”
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