tweaks

paper.md

@@ -34,6 +34,6 @@ Treatment response modelling has become an integral part of pharmaceutical resea
 
 The most widely used software packages and computer programs for treatment response modelling include NONMEM [@keizer2013modeling], [Monolix](https://lixoft.com/products/monolix/), and Matlab Simbiology [@hosseini2018gpkpdsim]. Other software packages include Scipion PKPD [@sorzano2021scipion], [PoPy](https://product.popypkpd.com/), Pumas [@rackauckas2020accelerated], and a number of [R libraries](https://cran.r-project.org/web/views/Pharmacokinetics.html). These packages provide an extensive toolkit for PKPD modelling. However, most of these solutions are difficult to use for research as their source code is not publicly distributed or not subject to open-source licenses, concealing the algorithmic details, limiting the transparency of the modelling results, and hindering the methdological development. Notable exceptions are Scipion PKPD and the R libraries, which make their source code publicly available on GitHub.
 
-[Chi](https://chi.readthedocs.io/en/latest/index.html) is an easy-to-use, open-source Python package for the modelling of treatment responses. It is targeted at modellers on all levels of programming expertise. For modellers with an interest in methodological research, [Chi](https://chi.readthedocs.io/en/latest/index.html)'s modular, open source framework enables users to extend or replace individual components of treatment response models and to study their advantages and limitations. We hope that this modularity and transparency will enable modellers to better scrutinise their modelling results and lead to a community that can jointly contribute to the development of better treatment response models.
+[Chi](https://chi.readthedocs.io/en/latest/index.html) is an easy-to-use, open-source Python package for the modelling of treatment responses. It is targeted at modellers on all levels of programming expertise. Modellers with an interest in methodological research can use [Chi](https://chi.readthedocs.io/en/latest/index.html)'s modular and open source framework to scrutinise their modelling results and study the advantages and limitations of diffent modelling choices. We hope that [Chi](https://chi.readthedocs.io) is the beginning of a community effort where improved methodology for treatment response modelling is developed and shared publicly.
 
 # References