PET-Assessed Metabolic Tumor Volume Across the Spectrum of Solid-Organ Malignancies: A Review of the Literature by Anusha Agarwal, Chase J. Wehrle, Sangeeta Satish, Paresh Mahajan, Suneel Kamath, Shlomo Koyfman, Wen Wee Ma, Maureen Linganna, Jamak Modaresi Esfeh, Charles Miller, David C. H. Kwon, Andrea Schlegel, Federico Aucejo

“…In the past few decades, the rapid evolution of imaging modalities has shifted the paradigm towards image-based precision medicine, especially in the care of patients with solid-organ malignancies. …”
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Polygenic height prediction for the Han Chinese in Taiwan by Chih-Hao Chang, Che-Yu Chou, Timothy G. Raben, Shih-Ann Chen, Yuh-Jyh Jong, Jeng-Yih Wu, Shun-Fa Yang, Hsiang-Cheng Chen, Yen-Lin Chen, Ming Chen, Gwo-Chin Ma, Chih-Yang Huang, Tso-Fu Wang, Sing-Lian Lee, Chen-Fang Hung, See-Tong Pang, Erik Widen, Yao-Ming Chang, Erh-Chan Yeh, Chun-Yu Wei, Chien-Hsiun Chen, Stephen D. H. Hsu, Pui-Yan Kwok

“…We analyzed data from 78,719 Taiwan Biobank (TWB) participants and 40,641 Taiwan Precision Medicine Initiative (TPMI) participants using genome-wide association study and multivariable linear regression least absolute shrinkage and selection operator (LASSO) methods to incorporate genetic and non-genetic factors for height prediction. …”
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Patient-derived induced pluripotent stem cell organoids for amyotrophic lateral sclerosis drug discovery by Wenyan Li, Jingqi Liu, Wenting Li, Lina Sun, Hao Zhang, Lei Gao, Chong Gao

“…Given these challenges, reliable disease models that accurately replicate ALS phenotypes with relevant biological underpinnings are essential for advancing precision medicine in ALS. Patient-derived induced pluripotent stem cell (iPSC) organoids have emerged as an innovative tool for disease modeling and drug evaluation. …”
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Radiopharmaceuticals and their applications in medicine by Siqi Zhang, Xingkai Wang, Xin Gao, Xueyao Chen, Linger Li, Guoqing Li, Can Liu, Yuan Miao, Rui Wang, Kuan Hu

“…Furthermore, radiotheranostic-empowered precision medicine is revolutionizing the cancer treatment paradigm. …”
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Blood-based DNA methylation markers for lung cancer prediction by Marc Chadeau-Hyam, Paolo Vineis, Caroline Relton, Mattias Johansson, Gianluca Severi, Roger L Milne, Melissa C Southey, Pierre-Antoine Dugué, Florence Guida, Mikael Johansson, Torkjel Sandanger, Justina Ucheojor Onwuka, Ryan Langdon, Therese Haugdahl Nøst, Hilary A. Robbins, Matthew Suderman

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Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma by Abdul Basit Ahanger, Syed Wajid Aalam, Tariq Ahmad Masoodi, Asma Shah, Meraj Alam Khan, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

“…This research contributes to advancing precision medicine in GBM management, highlighting the importance of integrating radiomics with genomic data to understand tumor behavior and treatment response better.…”
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Innovative approaches to asthma treatment: harnessing nanoparticle technology by Vanshika Goswami, Kushneet Kaur Sodhi, Chandra Kant Singh

“…Nanotechnology enables advancements in precision medicine, offering benefits for heterogeneous conditions such as asthma. …”
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Advances in modeling cellular state dynamics: integrating omics data and predictive techniques by Sungwon Jung

“…By evaluating strengths, limitations, and recent advancements of these methodologies, we aim to guide future research in developing more robust and interpretable models for understanding and manipulating cellular state dynamics in various biological contexts, ultimately advancing therapeutic strategies and precision medicine.…”
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Rare epithelial gastric cancers: a review of the current treatment knowledge by Angelica Petrillo, Margaret Ottaviano, Luca Pompella, Emilio Francesco Giunta, Pasquale Pisapia, Gianpaolo Marte, Andrea Tufo, Sara Di Lorenzo, Jessica Orefice, Chiara Miceli, Umberto Malapelle, Bruno Daniele, Ferdinando De Vita

“…In this narrative review, we highlight the importance of a better understanding of rare GCs to personalize the cures in the light of the precision medicine concept. Our main aim is to translate the scarce evidence from the literature into daily clinical practice, never forgetting that all the clinicians dedicated to rare GCs should encourage such patients’ enrolment in clinical trials and promote international collaborations. …”
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Application of Three-Dimensional (3D) Printing in Neurosurgery by Hao Li, Linyun Lu, Ning Li, Liu Zi, Qian Wen

“…They can also assist in preoperative planning and simulation, help in surgical or interventional surgery precision medicine, and improve the effectiveness of treatments. …”
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Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. by Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh

“…In the realm of personalized AI and precision medicine, the importance of dissimilarities is paramount. …”
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Characterisation of pregnancy-induced alterations in apolipoproteins and their associations with maternal metabolic risk factors and offspring birth outcomes: a preconception and l... by Li Chen, Karen Mei-Ling Tan, Melvin Khee-Shing Leow, Kok Hian Tan, Jerry Kok Yen Chan, Shiao-Yng Chan, Yap Seng Chong, Peter D. Gluckman, Johan G. Eriksson, Markus R. Wenk, Sartaj Ahmad Mir

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Steroid hormone receptors, exome sequencing and treatment responsiveness of breast cancer patient-derived xenografts originated in a South American country by Gabriela Pataccini, Andrés Elia, Gonzalo Sequeira, Luisa Ambrosio, Marcela Coianis, Caroline A. Lamb, Paola A. Rojas, Paula Martínez Vázquez, Javier Burruchaga, Eunice Spengler, Silvia I. Vanzulli, Martin Abba, Claudia Lanari

“…Abstract Breast cancer (BC) patient-derived xenografts (PDX) are relevant models for precision medicine. However, there are no collections derived from South American BC patients. …”
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Multiomics integration unravels genotype‐microbiome interactions shaping the conjunctival transcriptome by Qiaoxing Liang, Guo‐Wang Lin, Xiaohu Ding, Bin Zou, Xiaomin Liu, Jing Li, Yuxin Zhang, Xiaofeng Wen, Lingyi Liang, Jin‐Xin Bei, Mingguang He, Huijue Jia, Lai Wei

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Comparative efficacy of repurposed drugs lopinavir-ritonavir and darunavir-ritonavir in hospitalised COVID-19 patients: insights from a tertiary centre cohort by Dóra Paróczai, Dóra Paróczai, András Bikov, András Bikov, Andreea Blidaru, Emanuel Bobu, Ana Lascu, Ana Lascu, Cristian Ion Mot, Cristian Ion Mot, Stefan Mihaicuta, Stefan Mihaicuta, Stefan Frent, Stefan Frent

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The REpeated ASSEssment of SurvivorS in intracerebral haemorrhage: protocol for a multicentre, prospective observational study by Daniel Woo, Richard Thompson, Carl D Langefeld, Nichol McBee, Daniel Hanley, Matthew L Flaherty, Lauren Sansing, Karen Lane, Lee A Gilkerson, Achala Vagal, Nathan Walborn, Wendy Ziai, Noeleen Ostapkovich, Kevin Triene, Timothy David Howard

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Classification of Genes Based on Age-Related Differential Expression in Breast Cancer by Gunhee Lee, Minho Lee

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Integration of a Large-Scale Genetic Analysis Workbench Increases the Accessibility of a High-Performance Pathway-Based Analysis Method by Sungyoung Lee, Taesung Park

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Drug discovery and mechanism prediction with explainable graph neural networks by Conghao Wang, Gaurav Asok Kumar, Jagath C. Rajapakse

“…Abstract Apprehension of drug action mechanism is paramount for drug response prediction and precision medicine. The unprecedented development of machine learning and deep learning algorithms has expedited the drug response prediction research. …”
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Transforming oral cancer care: The promise of deep learning in diagnosis by Durairaj Varalakshmi, Mayakrishnan Tharaheswari, Thirunavukarasou Anand, Konda Mani Saravanan

“…In summary, this article underscores the innovative contributions of DL in revolutionizing oral cancer management and advocating for precision medicine in oncology.…”
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