About the Journal
The International Journal of Clinical Research and Medical Sciences (IJCRMS) publishes rigorously evaluated research that contributes directly to clinical knowledge and medical science. The journal prioritizes studies with clearly defined research questions, appropriate study design, and transparent analytical methodology, particularly where findings have relevance to diagnosis, treatment, disease progression, or healthcare outcomes.
IJCRMS focuses on clinical research, biomedical investigations, and public health studies grounded in empirical evidence. The journal accepts original research articles, systematic reviews, and structured clinical studies, including observational and retrospective analyses. Case-based submissions are considered only when they provide substantial clinical insight or methodological relevance. Purely speculative, opinion-based, or commercially motivated manuscripts are not within the journal’s scope.
All submissions must demonstrate compliance with recognized medical research ethics, including institutional approval where applicable, informed consent, and full disclosure of conflicts of interest. Manuscripts are evaluated through a double-blind peer-review process with explicit criteria for methodological validity, ethical integrity, and contribution to existing medical literature.
IJCRMS is structured to support reproducible, ethically sound medical research and to serve as a stable scholarly record for clinicians and researchers engaged in evidence-based medical practice.
Current Issue
This issue of the International Journal of Clinical Research and Medical Sciences (IJCRMS) brings together a diverse range of research contributions spanning clinical medicine, pharmaceutical sciences, healthcare systems, medical informatics, and inclusive education. The featured studies investigate multimodal artificial intelligence for pharmaceutical representation learning, plant-derived therapeutic candidate discovery through protease-targeted screening, rehabilitation workforce readiness in acute care settings, and machine learning-based approaches for hematological malignancy identification. Additionally, the issue explores strategies for improving science access for learners with extensive cognitive support needs, reflecting a commitment to advancing innovation, evidence-based practice, and equitable healthcare outcomes through interdisciplinary research.
Published: 2026-06-13