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.
Explore the full record of volume 1.
This issue presents a multidisciplinary collection of studies spanning artificial intelligence, clinical analytics, and molecular science. The articles explore advances in cancer risk stratification, early disease detection, and AI-assisted therapeutic monitoring in lifestyle and pain-related conditions. Additional work investigates catalytic processes and analytical modeling techniques to improve chemical transformation efficiency and compound identification. Collectively, these contributions emphasize data-driven healthcare, precision medicine, and translational innovation, reinforcing the integration of computational methods with clinical and biomedical research.