International Journal of Clinical Research and Medical Sciences
Advancing medical knowledge and improving clinical practice require rigorous, ethically grounded research that is responsive to real-world health challenges. Progress in medical sciences...
A diverse and international author and reviewer network
Real-World Impact
Research that advances theory and practice
Int. J. Clin. Res. Med. Sci.
A global platform for research at the intersection of intelligent systems and data science.
Advancing medical knowledge and improving clinical practice require rigorous, ethically grounded research that is responsive to real-world health challenges. Progress in medical sciences depends not only on scientific discovery but also on careful study design, data integrity, transparent reporting, and responsible interpretation of findings. Clinical and biomedical research must address uncertainty, variability across populations, and evolving standards of care, while maintaining patient safety and ethical accountability.
Meaningful contributions to medical science demand close attention to foundational issues such as study methodology, data quality, reproducibility, and clinical relevance. Equally important are broader considerations, including healthcare equity, access to evidence, regulatory compliance, and the societal implications of medical research. Addressing these challenges requires collaboration across clinical disciplines, biomedical sciences, and public health, integrating empirical research with clinical insight and contextual understanding.
The International Journal of Clinical Research and Medical Sciences (IJCRMS) provides a dedicated scholarly platform for the dissemination of rigorously conducted medical and clinical research. The journal brings together perspectives from clinical medicine, biomedical sciences, and public health to support evidence-based inquiry into disease mechanisms, diagnostics, therapeutics, and healthcare outcomes. IJCRMS prioritizes work that demonstrates methodological clarity, ethical compliance, and relevance to medical practice or health policy.
IJCRMS is committed to openness, accessibility, and inclusivity. The journal operates as a fully open-access publication, ensuring that all accepted articles are available to clinicians, researchers, and policymakers worldwide. By providing unrestricted access to research, the journal seeks to promote the wide dissemination of medical knowledge and support global participation in scholarly research.
Through its editorial standards and publishing practices, IJCRMS actively promotes reproducibility, ethical responsibility, and transparent peer review. The journal supports research aligned with public health priorities, evidence-based medicine, and responsible clinical inquiry, recognizing the central role of high-quality medical research in improving patient care and population health.
Publisher: Who Supports This Journal?
The International Journal of Clinical Research and Medical Sciences (IJCRMS) is published and supported by Femington, an independent academic publishing organization committed to ethical, transparent, and high-quality scholarly communication.
IJCRMS aims to make academic medical research available:
Online
Free from most copyright or licensing restrictions
Accepted Types of Articles
The International Journal of Clinical Research and Medical Sciences (IJCRMS) considers the following categories of scholarly contributions for publication:
Original Research / Research Articles
Review Articles
Case Studies
Research Notes
Editorials (by invitation or prior approval)
For detailed formatting requirements and the exact structure, authors are required to use the official journal manuscript template available below.
Manuscript Template (PDF):
for formatting guidance and Word-based manuscript preparation
LaTeX Template (ZIP):
includes complete LaTeX source files for manuscript preparation
Benefits to Authors
All articles published in the International Journal of Clinical Research and Medical Sciences (IJCRMS) are fully open access. This ensures that published work is available to read, download, and share worldwide.
Key benefits include:
Flexible publication fees for authors to ensure inclusivity
Rigorous double-blind peer-review process
Rapid editorial screening
Review decisions are typically communicated within six weeks
Fast and efficient online submission and review system
Authors retain copyright of their published work
The authors grant Femington a license to publish and identify itself as the original publisher.
3143-2263ISSN
3 daysSubmission to first decision (median)
Continuous PublishingFrequency
CC BY 4.0License
Issue Details
Vol. 1 No. 2 (2026)
Published: June 13, 2026
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.
This paper develops alternate science content expectations and accessible assessments tailored for K–12 students who require substantial cognitive support, centering the work squarely within inclusive special education practice. A design methodology
This study establishes an integrated pharmaceutical discovery pipeline from medicinal plant profiling to preclinical candidate identification, focusing on SARS-CoV-2 main protease (Mpro) inhibition. Comprehensive LC-ESI-TOF-MS/MS analysis of Cynanchum acutum L. identified 46 metabolites, with
The rapid advancement of large language models (LLMs) has opened up opportunities for AI applications in pharmaceutical sciences. However, integrating diverse biological data modalities continues to remain challenging. We propose SciMind, a multi-modal mixture-of-experts (MoE) having the capability of integrated representation learning from
Anushree Bhople, Aakash Kolekar
June 2026 · Vol. 1 · Issue 2
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