Implementing a Novel "Frontiers in Neoplasia" Curriculum to Engage Fourth-Year Medical Students in Evidence-Based, Multidisciplinary Oncology Care.

Few medical students are exposed to evidence-based, multidisciplinary oncology care, and few studies in oncology education reflect consolidated pre-clinical curricula. We developed a four-week curriculum, "Frontiers in Neoplasia," for fourth-year medical students, which included didactic lectures, interactive site visits, and team-based simulations of tumor boards and clinical trial design. A mixed methods approach was utilized to investigate the course's impact on students' understanding and interest in oncology, involving pre- and post-course responses to Likert-scale and open-ended questions.

Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.

Vitiligo is a chronic skin damage disease, triggered by differential melanocyte death. Vitiligo (0.5%-1% of the population) is one of the most severe skin conditions.

MediScan: A Framework of U-Health and Prognostic AI Assessment on Medical Imaging.

With technological advancements, remarkable progress has been made with the convergence of health sciences and Artificial Intelligence (AI). Modern health systems are proposed to ease patient diagnostics. However, the challenge is to provide AI-based precautions to patients and doctors for more accurate risk assessment.

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience.

Purpose: Electronic health records (EHRs) comprise a rich source of real-world data for cancer studies, but they often lack critical structured data elements such as diagnosis date and disease stage. Fortunately, such concepts are available from hospital cancer registries. We describe experiences from integrating cancer registry data with EHR and billing data in an interoperable data model across a multisite clinical research network.

Hydrogeochemical investigation and water quality assessment of the Indus River in the semiarid region of Ladakh, India.

The decline in water quality, particularly in river water, is a significant concern, especially in semi-arid areas and tourist destinations such as Ladakh. Periodic assessment of water quality could be a crucial step for ensuring its potability and serve as a foundation for formulating effective policies for sustainable water resource management. Consequently, this research aimed to analyze the periodic variations in the water quality of Indus River for domestic and agricultural use, focusing on the impact of geochemical processes within the basin.