Clinical imaging creates visual representations of the body interior for disease assessment. The role of clinical imaging significantly overlaps with that of pathology, and diagnostic workflows largely depend on both fields. The field of clinical imaging is presently undergoing a radical change through the emergence of a new field called molecular imaging. This new technology, which lies at the intersection between imaging and molecular biology, enables noninvasive visualization of biochemical processes at the molecular level within living bodies. Molecular imaging differs from traditional anatomical imaging in that biomarkers known as imaging probes are used to visualize target molecules-of-interest. This ability opens up exciting new possibilities for applications in oncologic, neurological and cardiovascular diseases. Molecular imaging is expected to make major contributions to personalized medicine by allowing earlier diagnosis and predicting treatment response. The technique is also making a huge impact on pharmaceutical development by optimizing preclinical and clinical tests for new drug candidates. This review will describe the basic principles of molecular imaging and will briefly touch on three examples (from an immense list of new techniques) that may contribute to personalized medicine: receptor imaging, angiogenesis imaging, and apoptosis imaging.
Apoptosis ; Biochemical Processes ; Biomarkers ; Cardiovascular Diseases ; Diagnosis ; Precision Medicine* ; Molecular Biology ; Molecular Imaging* ; Pathology

A region of 326 bp of mitochondrial cytochrome oxidase 1 (cox1) for Opisthorchis sp sample collected in An My, Tuy An, Phu Yen, was amplified using PCR. Nucleotide sequence of this cox1 fragment was used to comparatively analyzed with that of O. viverrini, strain Khon Kaen, Thailand, and C. sinensis sequences of Opisthorchis sp of Vietnam, China and Korea. The analysis revealed that nucleotide sequences of Opisthorchis sp of Vietnam has absolute homology to O. viverrini strain Khon Kaen, Thai Lan, but difference from C. sinensis originated from Vietnam, China and Korea. Opisthorchis sp of Vietnam isolated in Phu Yen is, thus, molecularly identified as Opisthorchis viverrini. This gives rise to establish a diagnostic approach and aspect of preventive/control for these species
Opisthorchis ; Molecular Biology ; epidemiology

Humans ; Carcinoma/pathology* ; Myoepithelioma/pathology* ; Molecular Biology

Histopathological classification is in a pivotal position in both basic research and clinical diagnosis and treatment of gastric cancer. Currently, there are different classification systems in basic science and clinical application. In medical literatures, different classifications are used including Lauren and WHO systems, which have confused many researchers. Lauren classification has been proposed for half a century, but is still used worldwide. It shows many advantages of simple, easy handling with prognostic significance. The WHO classification scheme is better than Lauren classification in that it is continuously being revised according to the progress of gastric cancer, and is always used in the clinical and pathological diagnosis of common scenarios. Along with the progression of genomics, transcriptomics, proteomics, metabolomics researches, molecular classification of gastric cancer becomes the current hot topics. The traditional therapeutic approach based on phenotypic characteristics of gastric cancer will most likely be replaced with a gene variation mode. The gene-targeted therapy against the same molecular variation seems more reasonable than traditional chemical treatment based on the same morphological change.
Humans ; Molecular Biology ; Stomach Neoplasms ; classification ; pathology

Humans ; Hemangiosarcoma/pathology* ; Colonic Neoplasms ; Molecular Biology

Female ; Humans ; Adenocarcinoma/pathology* ; Genitalia, Female/pathology* ; Molecular Biology

With the technological progresses and applications of human genome sequencing, bioinformatics analysis and data mining, and molecular pathology and artificial intelligence-assisted pathological diagnosis, the development of clinical medicine is moving towards the era of precision diagnosis and treatment. In the context of this era, the traditional diagnostic pathology is facing unprecedented opportunities and challenges in our history and is striving towards the "next-generation diagnostic pathology" (NGDP). NGDP is based on histomorphology and clinical data, and characterized by the combination of molecular detection and bioinformatics analysis, intelligent sampling and process quality control, intelligent diagnosis and remote consultation, lesion visualization and "non-invasive" pathology as well as other innovative cutting edge interdisciplinary technologies. The NGDP reports will include the results from multi-omics and cross-scale integrated diagnosis for final diagnosis. NGDP will also be applied for predicting disease progression and outcomes, and determining optional therapeutics as well as assessing treatment responses, so that a novel "golden standard" of disease diagnosis can be established. In the near fature, it is necessary to stimulate the innovative vitality of pathology disciplines, accelerate the maturity and application for NGDP, update the theory and technical system of pathology, and perform its important applicable role in the prevention, diagnosis, treatment of diseases so that the futher development of clinical medicine will be promoted and the strategy for maintenance of being healthy in China will be served.
Artificial Intelligence ; China ; Computational Biology ; Humans ; Pathology, Molecular

No abstract available.
Molecular Biology

Local alignment is an important task in molecular biology to see if two sequences contain regions that are similar. The most popular approach to local alignment is the use of dynamic programming due to Smith and Waterman, but the alignment reported by the Smith-Waterman algorithm has some undesirable properties. The recent approach to fix these problems is to use the notion of normalized scores for local alignments by Arslan, Egecioglu and Pevzner. In this paper we consider the problem of finding all local alignments whose normalized scores are above a given threshold, and present a fast heuristic algorithm. Our algorithm is 180-330 times faster than Arslan et al.''s for sequences of length about 120 kbp and about 40-50 times faster for sequences of length about 30 kbp.
Molecular Biology

No abstract available.
Molecular Biology*