Recommendations for training and education in QSP
We recommend creation of multi-faceted QSP training programs for predoctoral and postdoctoral
students, MD fellows and senior investigators. We also recommend introducing all trainees in
biomedical research to at least some contemporary pharmacology. Resources should also be provided
to create on-line educational tools similar those available for training in bioinformatics. This will help to
engage academic and industrial scientists interested in incorporating QSP concepts into their research.
T1. Defining core QSP competencies for all biomedical trainees
We recommend establishing a core set of competencies in classical and systems pharmacology that
would be advantageous for a broad range of pre- and postdoctoral training programs in pharmacology,
systems biology, bioengineering, pharmaceutical science and cell and molecular biology and potentially
other Ph.D. programs (e.g. chemical biology, genetics and bioinformatics). This set of skills would
necessarily be added to already heavy training loads and careful consideration should be given to
integration with existing teaching. It seems probable that the development of open-source pedagogical
materials for 2-4 lecture hours would be a reasonable initial goal. At the same time, complete tracks in
systems pharmacology should be developed for addition to existing doctoral programs; means to
incentivize the development of these programs should be considered.
T2. Establishing new pre- and postdoctoral training programs in programs in QSP.
We recommend establishing new training programs in QSP at both the pre- and postdoctoral levels. The
possibility that these programs could span institutions (e.g. universities and hospitals) should be
considered. Both Ph.D. and M.D. candidates should be included.
T3. Promoting the development of pedagogical resources
Many of the resources needed to teach QSP are poorly documented or are hard to access. Resources
and databases that can serve as models, examples, and training sets (e.g. of suitably redacted clinical
records and treatment histories or of PK/PD data) should be developed specifically for educational
purposes.
T4. Enhancing training in clinical pharmacology
We recommend the development of programs for training MDs and PharmD fellows in QSP within the
context of new or existing clinical pharmacology training programs and program for training clinical
investigators. Among other advantages this will help address a need for such individuals in industry.
T5. Encouraging industry-academic collaborations
We recommend that industry and academia develop joint training programs that combine the
traditional rigor of PhD programs with exposure to practical problems in industry. Specifically,
collaborative industry-academic training programs should be developed (at least partly funded by
industry) that include an internship experience.
T6. Training established investigators
We recommend the creation of novel pedagogical materials, forums and remote-learning tools for
cross-training established investigators in new quantitative and systems pharmacology; such training
could take the form of short nano-courses or web-based seminars. Two-week residential courses along
the lines of Cold Spring Harbor courses should also be considered.
Recommendations for training and education in QSP
We recommend creation of multi-faceted QSP training programs for predoctoral and postdoctoral
students, MD fellows and senior investigators. We also recommend introducing all trainees in
biomedical research to at least some contemporary pharmacology. Resources should also be provided
to create on-line educational tools similar those available for training in bioinformatics. This will help to
engage academic and industrial scientists interested in incorporating QSP concepts into their research.
T1. Defining core QSP competencies for all biomedical trainees
We recommend establishing a core set of competencies in classical and systems pharmacology that
would be advantageous for a broad range of pre- and postdoctoral training programs in pharmacology,
systems biology, bioengineering, pharmaceutical science and cell and molecular biology and potentially
other Ph.D. programs (e.g. chemical biology, genetics and bioinformatics). This set of skills would
necessarily be added to already heavy training loads and careful consideration should be given to
integration with existing teaching. It seems probable that the development of open-source pedagogical
materials for 2-4 lecture hours would be a reasonable initial goal. At the same time, complete tracks in
systems pharmacology should be developed for addition to existing doctoral programs; means to
incentivize the development of these programs should be considered.
T2. Establishing new pre- and postdoctoral training programs in programs in QSP.
We recommend establishing new training programs in QSP at both the pre- and postdoctoral levels. The
possibility that these programs could span institutions (e.g. universities and hospitals) should be
considered. Both Ph.D. and M.D. candidates should be included.
T3. Promoting the development of pedagogical resources
Many of the resources needed to teach QSP are poorly documented or are hard to access. Resources
and databases that can serve as models, examples, and training sets (e.g. of suitably redacted clinical
records and treatment histories or of PK/PD data) should be developed specifically for educational
purposes.
T4. Enhancing training in clinical pharmacology
We recommend the development of programs for training MDs and PharmD fellows in QSP within the
context of new or existing clinical pharmacology training programs and program for training clinical
investigators. Among other advantages this will help address a need for such individuals in industry.
T5. Encouraging industry-academic collaborations
We recommend that industry and academia develop joint training programs that combine the
traditional rigor of PhD programs with exposure to practical problems in industry. Specifically,
collaborative industry-academic training programs should be developed (at least partly funded by
industry) that include an internship experience.
T6. Training established investigators
We recommend the creation of novel pedagogical materials, forums and remote-learning tools for
cross-training established investigators in new quantitative and systems pharmacology; such training
could take the form of short nano-courses or web-based seminars. Two-week residential courses along
the lines of Cold Spring Harbor courses should also be considered.
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