Our recent work, "Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer," has been accepted in the IEEE Journal of Biomedical and Health Informatics (J-BHI). The paper provides the process of introducing a new set of visually meaningful features as a tool to evaluate the prostate risk grading. It explains the importance of the grading of prostate cancer for the determination of the appropriate treatment for an individual. The paper continues to explain how the tool would allow pathologists for further examination of the results in light of any disagreement of the diagnoses. It also discusses the possible further investigations of extending the features by investigating specific patterns, restricting specific regions, and including a greater number of pathologists. The abstract and full document in PDF form can be found at the following website: http://ieeexplore.ieee.org/ document/7467409/?reload=true& arnumber=7467409