Jefferson Digital Commons quarterly report: January-March 2020

This quarterly report includes: New Look for the Jefferson Digital Commons Articles COVID-19 Working Papers Educational Materials From the Archives Grand Rounds and Lectures JeffMD Scholarly Inquiry Abstracts Journals and Newsletters Master of Public Health Capstones Oral Histories Posters and Conference Presentations What People are Saying About the Jefferson the Digital Common

Focal Spot, Spring 2006

https://digitalcommons.wustl.edu/focal_spot_archives/1102/thumbnail.jp

Redesigning the advanced pharmacy practice experiential education from hospital to home: A COVID-19 scenario

Introduction: During the 2020 COVID-19 pandemic, suspension of many educational activities occurred to mitigate the risks of infection spread. For pharmacy students in their internship year, many efforts have been made to move their experiential training to a virtual platform without compromising learning outcomes. Objectives: Redesign the advanced pharmacy practice experience (APPE) to remote learning without compromising the learning outcomes; Develop an appropriate teaching modality/strategy and assessment method for remote APPE; To drive the change in experiential education by providing guidance for other pharmacy schools dealing with similar situations. Restructured APPE: Eighty-seven interns were switched to an online internship with five specialties based on the availability of the preceptors, namely internal medicine, infectious diseases, oncology, total parenteral nutrition, and psychiatry. Experiential education activities such as drug information questions, case presentations, and clinical pharmacy topic discussions took place on virtual platforms. Student assessment was done using adjusted rubrics to suit the online platforms. Student feedback was taken using an online questionnaire and was mostly positive, indicating that they improved their clinical pharmacy knowledge. Conclusion: The authors highlighted the various restructuring modalities and learning methods used for different clinical rotations to achieve the learning outcomes in difficult situations. In future, the authors plan to work with their colleagues in other health colleges to adapt their practices together

Simulation pipeline for virtual clinical trials of dermatology images

We have designed a pipeline for developing Virtual Clinical Trials (VCTs) for optical imaging of skin lesions. Skin cancer is the most common cancer in the US; one in five Americans will develop it by the age of 70. Early diagnosis offers more favorable treatment options; currently available diagnostics, however, shows large reader-dependence. A simulation approach offers advantages in terms of the known ground truth and flexibility to model clinically observed lesion variability. The pipeline is motivated by our success with VCTs of breast imaging. Our open source pipeline has been used to develop and evaluate novel clinical-grade displays, a new generation of tomosynthesis systems, and search observer models. The proposed pipeline includes modules for the simulation of skin and subcutaneous tissue, insertion of lesion models, and simulated acquisition of optical images, followed by the virtual reading of simulated images and the analysis of task-based system performance. The physical properties of the skin and lesion were selected among clinically plausible values. Skin lesion images were simulated assuming the ambient white light, and a linear camera model. We have utilized the standards for optimal data representation based upon the XML schema, adopted from our breast imaging VCTs. The presentation describes VCT principles used for designing the pipeline. We present proof-of-concept results, and discuss the preliminary visual and quantitative evaluation. Integration of pipeline modules and its validation is ongoin

Precision Oncology, Artificial Intelligence, and Novel Therapeutic Advancements in the Diagnosis, Prevention, and Treatment of Cancer: Highlights from the 59th Irish Association for Cancer Research (IACR) Annual Conference

Advancements in oncology, especially with the era of precision oncology, is resulting in a paradigm shift in cancer care. Indeed, innovative technologies, such as artificial intelligence, are paving the way towards enhanced diagnosis, prevention, and personalised treatments as well as novel drug discoveries. Despite excellent progress, the emergence of resistant cancers has curtailed both the pace and extent to which we can advance. By combining both their understanding of the fundamental biological mechanisms and technological advancements such as artificial intelligence and data science, cancer researchers are now beginning to address this. Together, this will revolutionise cancer care, by enhancing molecular interventions that may aid cancer prevention, inform clinical decision making, and accelerate the development of novel therapeutic drugs. Here, we will discuss the advances and approaches in both artificial intelligence and precision oncology, presented at the 59th Irish Association for Cancer Research annual conference

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of single vs multimodality screening of breast cancer diagnosis with 31 clinicians and 566 images, and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI). We summarize our work with recommendations from the radiologists for guiding the future design of medical imaging interfaces.Comment: AVI 2020 Short Papers, 5 pages, 2 figures, for associated files, see https://github.com/MIMBCD-UI/avi-2020-short-pape

Proceedings Virtual Imaging Trials in Medicine 2024

This submission comprises the proceedings of the 1st Virtual Imaging Trials in Medicine conference, organized by Duke University on April 22-24, 2024. The listed authors serve as the program directors for this conference. The VITM conference is a pioneering summit uniting experts from academia, industry and government in the fields of medical imaging and therapy to explore the transformative potential of in silico virtual trials and digital twins in revolutionizing healthcare. The proceedings are categorized by the respective days of the conference: Monday presentations, Tuesday presentations, Wednesday presentations, followed by the abstracts for the posters presented on Monday and Tuesday