5^th International Conference on Translational Medicine and Bioengineering November 29-30, 2021 Singapore City, Singapore

Translational bioinformatics is an emerging field in the study of health informatics  focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. It focus on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. It applies biomedical research to improve human health through the use of computer-based information system

Epigenetics is defined as heritable changes in gene activity that occurs without alterations in the DNA sequence. The  “Cancer Genomics and Epigenomes” has been widely investigated for their involvement in cancer to understand the basic processes of different malignancies. The aggregation of genetic and epigenetic alteration also displays a wide range of heterogeneity making it necessary to develop personalized treatment strategies.

Computational Proteomics is the computational methods, algorithms, database and methodologies used to process, manage, analyze and interpret the data produced in proteomics experiment. The broad application of proteomics in several biological and medical fields, are because of the diffusion of high-throughput platform, results in increasing volume of obtainable proteomics data requiring efficient algorithm, new data management capabilities and novel analysis, inference and visualization techniques.

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to large collections of biological data, like genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modeling and simulation.

Bio photonics is the subject that deals with the study of optical procedures in biological systems, composed of  those which occur naturally and in bioengineered materials. Biomedical optics accents on the planning and application of advanced optical techniques to resolve problems in medicine and biology

Nowadays wearable devices are developed for effectively measuring biological data. These devices have tissue allege and noise problem. To unravel these problems, biometric measurement supported a non-contact method, like face image sequencing is developed. Which makes it possible to live biometric data with none operation and side effects. However, it's impossible for a foreign center to spot the person whose data are measured by the novel methods. 

Our bodies are constantly communicating information about our health. This information are often captured through physiological instruments that measures pulse , vital sign , oxygen saturation level, blood sugar , nerve conduction and brain activity. Such measurements are taken at specific points of your time and noted on a patient’s chart. Physicians actually see but one-hundredth of those values as they create their rounds and treatment decisions are made based upon these isolated readings.

The Biomedical Robotics Research focus area is centered on the planning, development, and evaluation of medical robotics systems and smart assistive robotic platforms that enhance the physical capabilities of both patients and clinicians via advancements in mechanical design, modeling and control, sensors and instrumentation, computing, and image processing. Core Research in this area include medical robotics, haptic interfaces, machine learning, soft robotics, robot-assisted surgery and rehabilitation, tissue modeling, human augmentation, biomechanics, and human-robot interaction.

Neuro Engineering and Bioelectricity involves the study of exitable cells and tissues, and how the electrical properties of these cells and tissues affect physiologic function and diseases. Neuro engineering and Bioelectricity research involves a good range of experimental, computational, and quantitative research focused on clinically-relevant health conditions and diseases. Currently, Neuro engineering and Bioelectricity includes a diverse range of applications including neuroplasticity, computational modeling, and cardiac electrophysiology.

Translational medicine, also called translational life science, preclinical research, evidence-based research, or disease-targeted research, area of research that aims to enhance human health and longevity by determining the relevance to human disease of novel discoveries within the biological sciences. Translational medicine seeks to coordinate the utilization of latest knowledge in clinical practice and to include clinical observations and questions into scientific hypotheses within the laboratory. 

Advances in Translational Medicine Research may be a peer reviewed, open access journal dedicated to publish the insights within biomedical and public health research that aims to perk up the health of people and therefore the community by translating findings into diagnostic tools, medicines, procedures, policies and education. Translational Medicine Research is encouraging researchers from the rapidly growing discipline in biomedical research and aims to expedite the invention of latest diagnostic tools and coverings by employing a multi-disciplinary, highly collaborative; bench-to-bedside approach

Immunology and communicable diseases is that the study of how the body copes with bacterial, viral, or parasitic infections, cancer, autoimmune disorder and other diseases of the system . The system protects us from infection through may be a complex network of cells and tissues designed to fight invading pathogens. Immunology is the study of  response of the system to bacterial, viral or parasitic infections. It's also the study of diseases caused by disorders of the system. Autoimmune diseases are diseases that cause your system to attack your own body. 

Clinical and Translational Oncology is a world journal dedicated to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries handling both cell and biology of tumor cells, to the foremost advanced clinical assays of conventional and new drugs. Additionally the journal features a strong commitment to facilitating the transfer of data from the essential laboratory to the clinical practice, with the publication of educational series dedicated to closing the gap between molecular and clinical oncologists. 

Despite large investments in drug development, the general success rate of medicine during clinical development remains low. One prominent explanation is flawed preclinical research, during which the utilization and outcome of animal models is pivotal to bridge the translational gap to the clinic. Therefore, the choice of a validated and predictive animal model is important to deal with the clinical question. the present challenges and limitations of animal models are discussed, with attention on the fit-for-purpose validation. 

Clinical epidemiology is that the study of the patterns, causes, and effects of health and disease in patient populations and therefore the relationships between exposures or treatments and health outcomes. Areas of research include disease screening and prevention, systematic review methodology, comparative effectiveness research, developing evidence-based practice and policy guidelines, implementation of practices and guidelines in health systems, development of patient-centered registries and data marts within health information systems, creating and testing patient decision aids, and using patient data for quality improvement and research projects.

Advances in knowledge of the molecular alterations of human cancers, refinements in technologies for the generation of genetically engineered mouse models (GEMMs), and therefore the development of cancer therapies have accelerated in recent years. Progress in these fields provides the inspiration for clinically relevant studies to be performed in GEMMs, through which it's possible to glean information on drug efficacy and to spot determinants of sensitivity and resistance to drugs and drug combinations.

This programme aims to develop the interest in translational cardiovascular research and medicine, and equip with an enhanced knowledge, understanding and critical awareness of the current approaches and emerging research in this area.

Translational research has many various potential definitions. There are two broad elements: one is research that is a bridge between basic science and therefore the development of a therapeutic intervention; the second also referred to as knowledge translation explores why a clinically established product isn't used more widely and/or further characterizes its optimal use. The primary Translational Research element has always been an integral part of transfusion medicine; it's previously been mentioned as applied research or development.

The field of biomarker discovery has exhibited an excellent surge of interest in recent years. Biomarkers are often used for several purposes including diagnosis, prognosis and selecting appropriate patient therapy, and should provide information on disease mechanism or progression. Translation of such markers to clinical testing encompasses phases for his or her discovery and characterization, assay development, and eventually implementation using automated platforms employed in clinical laboratories.