Journal of Clinical & Medical Genomics

Genetic detection plays a pivotal role in contemporary disease prevention and treatment strategies. By analyzing an individual’s genetic makeup, healthcare professionals can identify predispositions to various diseases, allowing for personalized risk assessment and early intervention. This approach facilitates targeted screening programs and enables tailored treatment plans that consider genetic factors influencing drug efficacy and adverse reactions. Moreover, genetic testing empowers patients with knowledge to make informed lifestyle choices, potentially mitigating disease progression. This abstract explores the expanding applications of genetic detection in optimizing healthcare outcomes through proactive and personalized medical interventions.

Recent advancements in genomic sequencing technologies have profoundly impacted transcriptomic analysis by enabling comprehensive and high-throughput exploration of gene expression profiles. This review highlights key technological innovations such as next-generation sequencing platforms, single-cell sequencing and long-read sequencing, emphasizing their transformative implications for understanding complex biological processes and disease mechanisms. These technologies offer unprecedented resolution and scalability, facilitating the identification of novel transcripts, alternative splicing events and regulatory elements with greater accuracy. Moreover, their application in clinical settings promises advancements in personalized medicine and therapeutic development. As genomic sequencing methodologies continue to evolve rapidly, they hold immense potential to further elucidate the intricacies of gene expression dynamics and drive future breakthroughs in biomedical research.

The integration of radiomics and genomics represents a pivotal advancement in precision medicine for non-small cell lung cancer (NSCLC). Radiomics utilizes advanced imaging techniques to extract quantitative data from medical images, offering insights into tumor heterogeneity and treatment response. Genomic analysis identifies molecular alterations driving cancer progression, facilitating targeted therapies. By combining these disciplines, clinicians can personalize treatment strategies, predict patient outcomes and optimize therapeutic efficacy. This synergistic approach holds promise for enhancing diagnostic accuracy, monitoring treatment response and ultimately improving survival outcomes in NSCLC patients.

Antibiotic resistance poses a significant threat to global health, necessitating a deeper understanding of its genomic underpinnings. This review explores various mechanisms by which bacteria acquire resistance genes, including mutations, horizontal gene transfer and mobile genetic elements. Furthermore, it discusses genomic approaches such as whole genome sequencing and metagenomics that elucidate the spread and evolution of resistance. Countermeasures against antibiotic resistance, such as novel drug development and precision medicine strategies informed by genomics, are also highlighted. Integrating genomic insights into clinical practice promises to enhance surveillance, diagnosis and treatment of resistant infections, thereby safeguarding public health.