Foundations of Systems Biology in Engineering

Registration and Conference Details are available Fast Facts.

Details for the Poster Awards are found by clicking on the Poster Awards on the left side of this page.

The final program is now available: Final Program (July 29).

Details for the Poster Sessions are now available by clicking on the Poster Session Link on the left side of this page.

The field of systems biology, and its translational science counterpart systems medicine, has emerged as the bridge between reductionist molecular and cellular biology approaches and the systems-level understanding required to use this knowledge to advance the human condition. Drawing upon the revolutionary advances from reductionist approaches in molecular and cellular biology, systems approaches focus on the relationships between the gene, protein, and metabolite responses that compose the individual and population responses at the whole organism level. The primary avenues in this search are (i) defining the causal connections between the plethora of transcriptional, protein, and metabolite players; (ii) linking these microscale networks to system response; and (iii) capturing the dynamics of the system in response to changes at lower scales.

The Seventh International Conference on Foundations of Systems Biology in Engineering (FOSBE 2018), sponsored by the CACHE Corporation, will address challenges and opportunities in systems biology research and education. FOSBE 2018 will continue the series of successful conferences previously held in Santa Barbara, CA (August, 2005), Stuttgart, Germany (September, 2007), Denver, CO (August 2009), Tsuruoka, Japan (October 2012), Boston (August 2015), and Magdeburg, Germany (October 2016). The primary objectives of the FOSBE 2018 conference will be to provide an in-depth review and critical assessment of the current state-of-the-art, to discuss current and future needs of research, education, and training, and translation to practice, and to identify new directions, opportunities, and challenges in systems biology.