Novel Mutations in the MKKS, BBS7, and ALMS1 Genes in Iranian Children with Clinically Suspected Bardet–Biedl Syndrome by Roghayeh Dehghan, Mahdiyeh Behnam, Mansoor Salehi, Roya Kelishadi

“…All variants were interpreted as pathogenic according to American College of Medical Genetics and Genomics (ACMG) guidelines and confirmed through Sanger sequencing. …”
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Nutrigenomics: Definitions and Advances of This New Science by N. M. R. Sales, P. B. Pelegrini, M. C. Goersch

“…With the advance of science, especially after the conclusion of the Human Genome Project (HGP), scientists started questioning if the interaction between genes and food bioactive compounds could positively or negatively influence an individual’s health. …”
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Comparative Analysis of Deep Learning Algorithm for Cancer Classification using Multi-omics Feature Selection by Nur Sabrina Azmi, Azurah A Samah, Vivekaanan Sirgunan, Zuraini Ali Shah, Hairudin Abdul Majid, Chan Weng Howe, Nies Hui Wen, Nuraina Syaza Azman

“…The multi-omics data used in this study includes genomics, methylomics, transcriptomics and clinical data for a case study of lung squamous cell carcinoma. …”
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Modern Genetic Education: How Does It Meet Students’ Requests? by T. A. Sedykh, L. A. Amirova, L. A. Gaysina, G. F. Galikeeva, A. I. Fazlutdinova, N. V. Sukhanova

“…It was found that despite the satisfaction of the majority of the surveyed students with the quality of genetic education, there are problems in understanding modern sections of genetics, such as molecular genetics, toxicological genetics, genomics. The students are not sufficiently involved in scientific research, most of them prefer the traditional forms of teaching and learning, only few of them are aware of modern online resources and MOOCs. …”
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A Nonoscillatory Second-Order Time-Stepping Procedure for Reaction-Diffusion Equations by Philku Lee, George V. Popescu, Seongjai Kim

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Structure‐based computational design of antibody mimetics: challenges and perspectives by Elton J. F. Chaves, Danilo F. Coêlho, Carlos H. B. Cruz, Emerson G. Moreira, Júlio C. M. Simões, Manassés J. Nascimento‐Filho, Roberto D. Lins

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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…Methods We compared and evaluated the performance of 13 representative regression algorithms using Genomics of Drug Sensitivity in Cancer (GDSC) dataset. …”
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Innovative approaches in colorectal cancer screening: advances in detection methods and the role of artificial intelligence by Changwei Duan, Jianqiu Sheng, Xianzong Ma

“…This review aims to provide a comprehensive perspective on new strategies for CRC screening, emphasizing the potential of noninvasive detection technologies and the prospects of AI and genomics in clinical applications. Despite several challenges, this review advocates for future large-scale prospective studies to validate the effectiveness and cost-effectiveness of these new screening methods while promoting the implementation of screening protocols tailored to individual characteristics.…”
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Role of New Biomarkers: Functional and Structural Damage by Evdoxia Tsigou, Vasiliki Psallida, Christos Demponeras, Eleni Boutzouka, George Baltopoulos

“…Innovative technologies such as genomics and proteomics have contributed to the discovery of new biomarkers, such as neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (Cys C), kidney injury molecule-1 (KIM-1), interleukin-18 (IL-18), and liver-type fatty acid binding protein (L-FABP). …”
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Peroxisome Proliferator Activated Receptors and Lipoprotein Metabolism by Sander Kersten

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Major Histocompatibility Complex Genes as Therapeutic Opportunity for Immune Cold Molecular Cancer Subtypes by Paweł Karpiński, Łukasz Łaczmański, Maria M. Sąsiadek

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The Relevance of HLA Sequencing in Population Genetics Studies by Alicia Sanchez-Mazas, Diogo Meyer

“…In this review, we first explain how HLA sequencing allows a better assessment of the HLA diversity in human populations, taking also into account the methodological difficulties it introduces at the statistical level; secondly, we show how analyzing HLA sequence variation may improve our comprehension of population genetic relationships by facilitating the identification of demographic events that marked human evolution; finally, we discuss the interest of both HLA and genome-wide sequencing and genotyping in detecting functionally significant SNPs in the MHC region, the latter having also contributed to the makeup of the HLA molecular diversity observed today.…”
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The Relationship between Natriuretic Peptide Precursor a Gene T2238C Polymorphism and Hypertension: A Meta-Analysis by Wenquan Niu

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Mutanome Engineered RNA Immunotherapy: Towards Patient-Centered Tumor Vaccination by Mathias Vormehr, Barbara Schrörs, Sebastian Boegel, Martin Löwer, Özlem Türeci, Ugur Sahin

“…Advances in nucleic acid sequencing technologies have revolutionized the field of genomics, allowing the efficient targeting of mutated neoantigens for personalized cancer vaccination. …”
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CCI: A Consensus Clustering-Based Imputation Method for Addressing Dropout Events in scRNA-Seq Data by Wanlin Juan, Kwang Woo Ahn, Yi-Guang Chen, Chien-Wei Lin

“…Single-cell RNA sequencing (scRNA-seq) is a cutting-edge technique in molecular biology and genomics, revealing the cellular heterogeneity. However, scRNA-seq data often suffer from dropout events, meaning that certain genes exhibit very low or even zero expression levels due to technical limitations. …”
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Latest Approved Therapies for Metastatic Melanoma: What Comes Next? by Farid Menaa

“…Eventually, multidisciplinary approaches are still requested (e.g., genomics for personalized medicine, nanomedicine to overcome low free-drug bioavailability and targeting, systematic search of “melanoma stem cells” to enhance the prognosis and develop more valuable theranostics). …”
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Application of Metabolomics in Thyroid Cancer Research by Anna Wojakowska, Mykola Chekan, Piotr Widlak, Monika Pietrowska

“…However, in some cases, cytological and histological patterns are inconclusive; hence, classification based on histopathology could be supported by molecular biomarkers, including markers identified with the use of high-throughput “omics” techniques. Beside genomics, transcriptomics, and proteomics, metabolomic approach emerges as the most downstream attitude reflecting phenotypic changes and alterations in pathophysiological states of biological systems. …”
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Single-Cell Transcriptome Analysis of Human Adipose-Derived Stromal Cells Identifies a Contractile Cell Subpopulation by Elize Wolmarans, Juanita Mellet, Chrisna Durandt, Fourie Joubert, Michael S. Pepper

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Ultrasound Radiogenomics-based Prediction Models for Gene Mutation Status in Breast Cancer by Zhai Yue, Tan Dianhuan, Lin Xiaona, Lv Heng, Chen Yan, Li Yongbin, Luo Haiyu, Dan Qing, Zhao Chenyang, Xiang Hongjin, Zheng Tingting, Sun Desheng

“…Ultrasound radiogenomics, an emerging field at the intersection of radiology and genomics, employs high-throughput methods to convert radiological images into high-dimensional data, which are then processed to extract and analyze radiomic features. …”
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Machine learning and multi-omics in precision medicine for ME/CFS by Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley, Christopher W. Armstrong

“…In this review, we explore how machine learning and multi-omics (genomics, transcriptomics, proteomics, and metabolomics) can transform precision medicine in ME/CFS research and healthcare. …”
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