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    4211 research outputs found

    Using AI as a Teaching Tool in Developing Scientific Communication, Part 2

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    https://openworks.mdanderson.org/scoare/1001/thumbnail.jp

    Math meets the Clinic: Modeling Patient Specific HNSCC Radiation Response Dynamics

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    Head and neck squamous cell carcinomas (HNSCCs) originate from the mucosal lining of the upper aerodigestive tract and radiation therapy has become a fundamental component in the standard care for these patients. However, the treatment\u27s unique dynamics can lead to disparities in outcomes and biological responses in both tumor and normal tissues. A significant challenge remains in predicting individual patient responses to radiation, with variability often resulting in under or over-treatment and potentially adverse effects. The absence of reliable biomarkers highlights the need for predictive measures to guide clinical decisions in real-time. The integration of mathematical models in radiation therapy offers a promising solution, with models incorporating a global lambda demonstrating the ability to predict treatment responses beyond initial weeks. These models provide a framework to address patient response variability, potentially improving survival rates and quality of life.https://openworks.mdanderson.org/radonc24/1003/thumbnail.jp

    Implementation of Electronic Patient-Reported Outcomes in Head-Neck Cancer Patients Treated with Radiation Therapy Using the RE-AIM Framework​

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    Radiation therapy for head and neck cancers can result in many moderate-severe toxicities. Patient-reported outcomes can be used to monitor these symptoms, but are difficult to implement in the clinic. To evaluate the implementation of electronic patient-reported outcomes, a study was conducted in the head and neck radiation oncology clinic. This resulted in increased PRO utilization, along with the identification of barriers to implementation, with next steps to address.https://openworks.mdanderson.org/soar24/1007/thumbnail.jp

    The Image Guided Cancer Therapy Research Program together with the CCSG Imaging-Driven Biologically-Informed Therapy Program Seminar Series, April 29, 2024

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    April 29, 2024 Rebecca Morrison, PhDAssistant Professor, Department of Computer Science at University of Colorado - Boulderhttps://openworks.mdanderson.org/igct_seminars/1008/thumbnail.jp

    The Importance of Reproducible Research in High-Throughput Biology

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    December 12, 2024 Keith Baggerly, PhDProfessor, Department of Bioinformatics and Computational Biology, (retired)https://openworks.mdanderson.org/igct_workshops/1004/thumbnail.jp

    Post Chest Xray Pull Poster

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    https://openworks.mdanderson.org/aprn-week-24/1007/thumbnail.jp

    BUILDING RESILIENCE IN THE SCHOOL OF HEALTH PROFESSIONS​ STUDENTS WITH SUDARSHAN KRIYA YOGA (SKY)

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    https://openworks.mdanderson.org/edwk24/1000/thumbnail.jp

    Correlating Pharmacist Drug Therapy Management Competency Assessment Scores with Didactic Education

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    https://openworks.mdanderson.org/edwk24/1006/thumbnail.jp

    An Investigation on the Intricacies of Epigenetic Modulations in the Pathogenesis of Human Papillomavirus-Associated Cervical Cancer: A Comprehensive Meta-Narrative Synthesis

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    Abstract Objective: To conduct a meta-analysis of the available and relevant literature on E1/E2 genes and their affect on the epigenetics of Human Papillomavirus caused uterine cervical cancer. Background/Significance: Human Papillomavirus is strongly linked to cervical cancer, and cervical cancer is the fourth most common type of cancer in women. 99.7% of patients with cervical cancer have a “high risk HPV genotype” which factors greatly into the causation if their diagnosis. The HPV vaccine that came out in 2006 has greatly decreased cervical cancer in the population as well as increased the preventative chances of highly susceptible individuals. Methods: To conduct a meta-narrative review, MD Anderson databases and Google Scholar were used to access PubMed as well as Web of Science. Articles older than 5 years (2019-2024) were not considered, but articles with research from across the globe not just the United States were considered. Phrases such as “E1/E2 genes”, “Human Papillomavirus”, and “Cervical Cancer” were used. Discussion: The genes E1 and E2 were discussed by their role in DNA application, as well as the multitude and variety of nucleotide variations and their locations. The oncogenic links between these genetic variations and their epigenetic modulations were shown to be strong but further research still needs to be conducted. Conclusion: The articles reviewed show that genes play a factor in HPV induced uterine cancer, and that DNA methylation and histone modifications are a key factor in all stages of cervical uterine cancer.https://openworks.mdanderson.org/rmps24/1011/thumbnail.jp

    The Effects of Cold-Stored Platelets on Hemorrhagic Patients: A Meta-Narrative Review

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    https://openworks.mdanderson.org/rmps24/1007/thumbnail.jp

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