Gender-bias has been the long standing hurdle to the modernness and advancement of practicing science. This is particularly true for research being done in the field of computational physiology and metabolism. As per recent reports by United Nations Educational Scientific and Cultural Organization (UNESCO), women are under represented in the Science, Technology, Engineering and Mathematics (STEM) fields, with total estimates being close to only 30% worldwide. On the path to defeating stereotypes, women researchers are working towards answering some of the most important questions in Science technology. Therefore, this article collection shall focus on highlighting the quintessential contribution of women researchers to the field of "Computational Physiology and Medicine".

In order to bridge-in the gender-divide prevailing within the current scientific research practice, as well as, to emphasize the pivotal role of women in the computational modeling field, the presented research topic seeks to bring together women researchers from diverse backgrounds working either in depth or in association with computational modeling techniques. Further, this will also showcase the potential of theoretical modeling to solve a wide-array of scientific problems, ranging from fundamental sciences to long-term medical applications.

We encourage especially the young women researchers, i.e., PhD scholars and Postdocs to come forward with their creativity and innovation in the field of Computational Modeling to solve problems in modern Physiology, Metabolism, & Medicine.

Young women researchers can either team-up with established women PIs, or submit independently. Co-authors can be of any gender. Areas to be covered in this article collection may include, but are not limited to the following subtopics:

- Modeling the role of hormones in maintaining overall homeostasis and metabolism
- Modeling the role of gut-brain-axis in neurological disorders
- Modeling host-microbe interactions in cancer
- Application of computational modeling to study human metabolism, and associated disorders
- Integration of computational modeling & AI for vision research

We welcome the submission of different article types to this collection. For a complete list of article types that can be considered in Frontiers in Physiology, please follow this link. To learn more about the scope of the Computational Physiology section, please follow this link.

Topic Editor Dr. Neha Rohatgi, one of the co-guest editors is currently affiliated to Astek Canada– Roche, Toronto. She works in the capacity of a Computational Biologist. The other Topic Editors declare no competing interests with regards to the Research Topic subject.

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