The Center for Predictive Medicine recognizes
the challenges of translational research such as in designing and implementing high - throughput screens and assessing small molecules and potential vaccines for their efficacy in small animal models of disease.
Regardless of the geographic setting, the goals and
challenges of translational research are the same, says Liu: Getting funding and infrastructure support from the government, training young investigators, creating a multidisciplinary community of researchers who can effectively communicate with each other, and finding ways to systematically implement translational research results into clinical practice.
Not exact matches
From my perspective, this makes a world
of difference in identifying those
challenges that are central to
translational research.»
Translational — bench to bedside —
research remains a particular
challenge in the clinical neurosciences, in large part due to the inaccessibility
of the brain.
The discussion could also speak about the
challenges and opportunities to build a
research collection to support the field
of translational medicine.
Developed to address just these
challenges, Labmatrix ™ is a web - accessible clinical &
translational research management software system used for information management and integration
of patient, clinical, specimen, genetic and molecular assay data.
Labmatrix was developed for clinical and
translational research, so at its core is the concept
of managing
of patient, samples, clinical and molecular data and the
challenges these data pose.
Despite ongoing efforts toward finding novel entities for the treatment
of the most
challenging cancers, translation into patient benefit has been slow due to the fact that
translational cancer
research from early drug discovery to late stage drug development and assessment in clinical trials is a long process.
The culmination
of their work is the recent publication
of the article Addressing Core
Challenges for the Next Generation
of Type 2
Translational Research and Systems: The Translation Science to Population Impact (TSci Impact) Framework in Prevention Science (Richard Spoth, Louise A. Rohrbach, Mark Greenberg, Philip Leaf, C. Hendricks Brown, Abigail Fagan, Richard R. Catalano, et al).
Each
of these structures advances our ability to handle the
challenging and increasing caseload, allows for the adoption
of the latest technology in veterinary medicine and provides the infrastructure and efficient services to facilitate
translational research.
Seeking a
challenging position that will enable me to use my acquired clinical, basic and
translational research, my knowledge
of multi-disciplines
of basic and clinical medical sciences, and lab management and teamwork skills as well as scientific and medical writing experiences.