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What Next for the Science of Patient Preference? Interoperability, Standardization, and Transferability.
Patient
January 2025
Pfizer, New York City, NY, USA.
Using patient preference information (PPI) to incorporate patient voices into the drug development lifecycle can help align therapies with the needs and values of patients. However, several barriers have limited the use of PPI, including a lack of clarity on its use by decision-makers, a need for greater decision-maker trust in PPI, and a lack of time, budgets, and access to specialist expertise. The value proposition for PPI could be enhanced by making it FAIR: Findable, Accessible, Interoperable, and Reusable.
View Article and Find Full Text PDFLow-cost interventions to increase uptake of cervical cancer screening among emergency department patients: Results of a randomized clinical trial.
Acad Emerg Med
January 2025
Department of Emergency Medicine, University of Rochester, Rochester, New York, USA.
Background: Cervical cancer (CC) is preventable. CC screening decreases CC mortality. Emergency department (ED) patients are at disproportionately high risk for nonadherence with CC screening recommendations.
View Article and Find Full Text PDFTrigeminal Neuralgia: Disease Characterization and Prediction of Response to Surgical Intervention.
Curr Pain Headache Rep
January 2025
Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Purpose Of Review: Trigeminal neuralgia (TN) is a highly heterogeneous condition with a wide choice of successful treatment options. However, differences between subtypes are poorly understood and it remains unknown which patients will respond to different treatments. This review aims to summarize the current state of the TN field and explore the problem of predicting surgical outcomes.
View Article and Find Full Text PDFPrevalence of Mutations Associated with QoI, QiI, QioSI and CAA Fungicide Resistance Within in North America and a Tool to Detect CAA Resistant Isolates.
Phytopathology
January 2025
Michigan State University, Dept. Plant, Soil and Microbial Sciences, 105 CIPS, East Lansing, Michigan, United States, 48910;
Grape downy mildew, caused by poses a threat to grape cultivation globally. Early detection of fungicide resistance is critical for effective management. This study aimed to assess the prevalence and distribution of mutations associated with resistance to Quinone oxide inhibitors (QoI, FRAC 11), Quinone inside inhibitors (QiIs, FRAC 21, cyazofamid), Carboxylic acid amides (CAA, FRAC 41), and Quinone inside and outside inhibitor, stigmatellin binding mode (QioSI, FRAC 45, ametoctradin) in populations in the eastern United States and Canada; and evaluate whether these mutations are linked to fungicide resistance correlate with specific clades.
View Article and Find Full Text PDFFast and interpretable mortality risk scores for critical care patients.
J Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
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