The diagnosis and treatment of chronic refractory wounds on body surface has always been full of challenges, and it also poses a huge burden on medical care and society. High-throughput sequencing combined with omics analysis can reveal potential mechanisms of chronic wound formation, and identify potential biomarkers related to diagnosis, prognosis, and screening of chronic wound. Combined with multiple levels of omics analysis, the detailed molecular mechanism of chronic wound development can be further explored and understood, so as to provide clues for the formulation of personalized treatment methods and lay a solid foundation for the precision medicine of chronic wounds. Therefore, this review addresses the recent progress of various omics analyses in chronic refractory wounds on body surface.
Precision Medicine/methods* ; Biomarkers

Organoids are three-dimensional cellular structures with self-organizing and self-differentiation capacities. They faithfully recapitulate structures and functions of in vivo organs as represented by functionality and microstructural definitions. Heterogeneity in in vitro disease modeling is one of the main reasons for anti-cancer therapy failures. Establishing a powerful model to represent tumor heterogeneity is crucial for elucidating tumor biology and developing effective therapeutic strategies. Tumor organoids can retain the original tumor heterogeneity and are commonly used to mimic the cancer microenvironment when co-cultured with fibroblasts and immune cells; therefore, considerable effort has been made recently to promote the use of this new technology from basic research to clinical studies in tumors. In combination with gene editing technology and microfluidic chip systems, engineered tumor organoids show promising abilities to recapitulate tumorigenesis and metastasis. In many studies, the responses of tumor organoids to various drugs have shown a positive correlation with patient responses. Owing to these consistent responses and personalized characteristics with patient data, tumor organoids show excellent potential for preclinical research. Here, we summarize the properties of different tumor models and review their current state and progress in tumor organoids. We further discuss the substantial challenges and prospects in the rapidly developing tumor organoid field.
Humans ; Neoplasms/genetics* ; Organoids/pathology* ; Carcinogenesis ; Models, Biological ; Precision Medicine/methods* ; Tumor Microenvironment

Genome-guided oncology refers to a new treatment concept that transcends histological classification and pathological ty-ping and uses drugs according to the genetic characteristics of tumors. New drug development technology and clinical trial design based on this concept provide new ideas for the clinical application of precision oncology. The multi-component and multi-target characteristics of Chinese medicine provide rich resources for the development of tumor-targeting drugs from natural products, and the design of the master protocol trial aiming at the characteristics of precision oncology supports the rapid clinical screening of effective tumor-targeting drugs. The emergence of the synthetic lethality strategy breaks through the bottleneck that the drug can only target the oncogene but cannot do anything to the tumor suppressor gene with the loss-of-function mutation in the past. With the rapid development of high-throughput sequencing technology, the cost of sequencing is also decreasing. For the development of tumor-targeting drugs, how to keep up with the update speed of target information is a difficult problem of concern. Based on the integration of innovative ideas and me-thods of precision oncology, network pharmacology, and synthetic lethality strategy on synthetic lethal interaction network of antitumor Chinese medicine compatibility formula design, and the combination of improvement of innovative clinical trial methods, such as master protocol trial, basket trial, and umbrella trial, unique advantages of Chinese medicine are expected to be exerted beyond the antibody-based drugs and small molecule-based drugs and corresponding targeted drugs are potentially developed for clinical application.
Humans ; Neoplasms/genetics* ; Medicine, Chinese Traditional ; Precision Medicine/methods* ; Medical Oncology ; Antineoplastic Agents/therapeutic use*

Objective To explore the short-term efficacy of digitally-assisted traditional Chinese medicine manual reduction combined with 3D printed splint in the treatment of AO type-A distal radius fractures, and explore the quantification of traditional Chinese medicine manual reduction and personalized improvement of splinting. Methods The clinical data of 50 patients with AO type-A distal radius fractures, who received treatment at the outpatient department of Cangzhou Integrated Traditional Chinese and Western Medicine Hospital in Hebei Province, were retrospective analyzed. The patient cohort included 22 females and 28 males, with ages ranging from 25 to 75 years old. Among them, 27 cases presented with distal radius fractures on the left side, and 24 cases on the right side. The patients were categorized into two groups: treatment group (n=25) and control group(n=25). There were 13 males and 12 females in the treatment group, with an average age of (56.2±5.5) years old. Treatment approach for this group involved several steps. Initially, Mimics Research software was used to conduct comprehensive analysis of complete CT data from the affected limb, resulting in the creation of a three-dimensional model. Subsequently, 3D models of the bones and skin contours, stored as STL format files, were imported into the Materialise Magics 23.0 software for model processing and repair. This facilitated the simulation of reduction and recording of displacement data, effectively generating a "digital prescription" to guide and quantify traditional Chinese medicine manipulation procedures. Finally, a personalized 3D printed splint was applied for fixation treatment. There were 15 males and 10 females in the control group, with an average age of (53.32±5.28) years old. These patients were treated with manualreduction combined with traditional splinting. The clinical efficacy of the two groups was assessed in terms of fracture reduction quality, fracture healing time, Gartland-Werley wrist joint score and X-ray parameters (palminclination angle, ulnar deviation angle, radius height) at 6 weeks post-operatively. Results The treatment group exhibited a shorter duration for achieving clinical healing compared to the control group (P<0.05). Six weeks post-operatively, the treatment group demonstrated higher wrist joint function scores, and a higher proportion of excellent and good outcomes than the control group(P<0.05). The treatment group was superior to the control group in terms of imaging parameters 6 weeks post-operatively (P<0.05). Conclusion By quantifying skin contours through digital simulation prescription reduction, a personalized 3D printed splint is developed to effectively stabilize fractures, enhancing localized fixation while ensuring greater adherence, stability, and comfort. This innovative approach offers personalized treatment for AO type-A distal radius fractures and presents a novel, precise treatment strategy for consideration.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; East Asian People ; Printing, Three-Dimensional ; Retrospective Studies ; Splints ; Wrist Fractures/therapy* ; Medicine, Chinese Traditional/methods* ; Therapy, Computer-Assisted/methods* ; Manipulation, Orthopedic/methods* ; Tomography, X-Ray Computed ; Precision Medicine/methods*

Prostate cancer (PCa) is a pernicious tumor with high heterogeneity, which creates a conundrum for making a precise diagnosis and choosing an optimal treatment approach. Multiparametric magnetic resonance imaging (mp-MRI) with anatomical and functional sequences has evolved as a routine and significant paradigm for the detection and characterization of PCa. Moreover, using radiomics to extract quantitative data has emerged as a promising field due to the rapid growth of artificial intelligence (AI) and image data processing. Radiomics acquires novel imaging biomarkers by extracting imaging signatures and establishes models for precise evaluation. Radiomics models provide a reliable and noninvasive alternative to aid in precision medicine, demonstrating advantages over traditional models based on clinicopathological parameters. The purpose of this review is to provide an overview of related studies of radiomics in PCa, specifically around the development and validation of radiomics models using MRI-derived image features. The current landscape of the literature, focusing mainly on PCa detection, aggressiveness, and prognosis evaluation, is reviewed and summarized. Rather than studies that exclusively focus on image biomarker identification and method optimization, models with high potential for universal clinical implementation are identified. Furthermore, we delve deeper into the critical concerns that can be addressed by different models and the obstacles that may arise in a clinical scenario. This review will encourage researchers to design models based on actual clinical needs, as well as assist urologists in gaining a better understanding of the promising results yielded by radiomics.
Male ; Humans ; Artificial Intelligence ; Magnetic Resonance Imaging/methods* ; Prostatic Neoplasms/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Precision Medicine ; Retrospective Studies

Liquid chromatography tandem mass spectrometry (LC-MS/MS) is an analytical method that combines high separation of liquid chromatography with high selectivity and sensitivity of mass spectrometry. In recent years, LC-MS/MS has been widely used in clinical practice, including screening of inherited disorders, determination of endogenous compounds and analysis of biomarkers. LC-MS/MS is of great value to the precision prevention, diagnosis and treatment of some diseases due to its accurate data. This article not only illustrates the advantages of LC-MS/MS in precision medicine, but also prospects the future trend of LC-MS/MS in clinical practice, which expects to promote the development of clinical LC-MS/MS in the prevention, diagnosis and treatment of diseases.
Humans ; Chromatography, Liquid/methods* ; Tandem Mass Spectrometry/methods* ; Precision Medicine ; Reproducibility of Results

Proteomics is the study of proteins-the direct executor of life activities. Protein plays a vital role in the development and growth of human body and the genesis and development of diseases. It is the most widely used clinical marker type and the direct drug target. In recent years, the advance of proteomic core technology with chromatography and mass spectrometry has promoted the rapid development in the depth and breadth of proteomic research, and its application in the large cohort of hepatocellular carcinoma opens a new era of proteomics-driven precision medicine (PDPM). This review highlights the proteomic research in new techniques, directions and discoveries of hepatocellular carcinoma research in recent years, providing new ideas and references for clinicians to understand proteomics, and to use proteomics to assist in the diagnosis of diseases and the development of personalized therapies.
Biomarkers ; Carcinoma, Hepatocellular/pathology* ; Humans ; Liver Neoplasms/pathology* ; Precision Medicine/methods* ; Proteomics/methods*

Precision medicine, which is based on individualized medicine, is a new medical model developed with the cross-application of genome sequencing technology, bioinformatics, and big data science. The establishment of precision medicine model is conducive to maximize the efficient utilization of medical resources and patient benefits. Bariatric surgery is an emerging branch of general surgery in the new century. Although the development of bariatric surgery still has a long way to go, precision medicine will add significant value to the rapid and positive development of the branch of bariatric surgery. In the context of precision medicine, bariatric metabolic surgery is now in its infancy. Currently, the successful implementation of precision control in bariatric surgery is initially focusing on the prediction of postoperative weight and the study of body weight differences in epigenetics. However, there are still gaps to be filled in the area of postoperative recovery, nutritional support treatment, and realization of individualized treatment based on big data. In the future, the integration of large-scale resource and data information can be realized by establishing the multi-center clinical sample library and perfecting the data collection of long-term follow-up and clinical information. Meanwhile, we can conduct deep biological data mining effectively with the big data platform, while using data reference to achieve accurate prediction and control of obesity treatment, so as to formulate detailed implementation plans and detailed procedure standard. Last but not least, we should pay attention to the patients' privacy and prevent personal health information leakage.
Bariatric Surgery/methods* ; Epigenesis, Genetic ; Humans ; Precision Medicine

precision medicine among health professionals in Korea and to identify issues that need to be addressed before implementing precision medicine. Mixed methods research was applied. For qualitative research, a semi-structured focus group interview was conducted with six health professionals. For quantitative research, a self-reported survey was administered. A total of 542 health professionals participated in the survey, and 526 completed the entire questionnaire. Health professionals showed positive attitudes toward precision medicine. About 95–96% of respondents agreed that precision medicine will be effective in treatment and precise diagnosis, and 69.9% reported that they would participate as study subjects. Meanwhile, they expressed concerns regarding educating patients and health professionals in precision medicine and developing research and data sharing infrastructure. Also, they emphasized the importance of developing precision medicine in an equitable way. Despite varying levels of awareness of precision medicine, the health professionals expressed a willingness to engage in precision medicine research, and recommended that health professionals work closely with policymakers to design precision medicine in a way that can be effectively adopted. Health professionals showed had a positive, but cautious, attitude toward precision medicine. The results of this study suggest areas to be addressed before ushering in precision medicine in Korea.]]>
Diagnosis ; Focus Groups ; Health Occupations ; Humans ; Information Dissemination ; Korea ; Methods ; Precision Medicine ; Qualitative Research ; Surveys and Questionnaires

Precision medicine, imaging first. Radiomics, a method of machine learning in artificial intelligence, provides valuable diagnostic, prognostic or predictive information through quantitative analysis on the tumor's region of interest to support personalized clinical decisions and improve individualized treatment, which could lay a solid foundation for achieving the precision medicine. This review provides a latest advance of the radiomic application of the precision medicine for lung cancer.
Animals ; Artificial Intelligence ; Humans ; Lung Neoplasms ; diagnosis ; Machine Learning ; Precision Medicine ; instrumentation ; methods