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Accurate predictions of SARS-CoV-2 infectivity from comprehensive analysis.
Elife
December 2024
Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
An unprecedented amount of SARS-CoV-2 data has been accumulated compared with previous infectious diseases, enabling insights into its evolutionary process and more thorough analyses. This study investigates SARS-CoV-2 features as it evolved to evaluate its infectivity. We examined viral sequences and identified the polarity of amino acids in the receptor binding motif (RBM) region.
View Article and Find Full Text PDFEditorial: Genetic and cellular heterogeneity in tumors.
Front Cell Dev Biol
December 2024
Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Navigating the unseen peril: safeguarding medical imaging in the age of AI.
Front Artif Intell
December 2024
Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
In response to the increasing significance of artificial intelligence (AI) in healthcare, there has been increased attention - including a Presidential executive order to create an AI Safety Institute - to the potential threats posed by AI. While much attention has been given to the conventional risks AI poses to cybersecurity, and critical infrastructure, here we provide an overview of some unique challenges of AI for the medical community. Above and beyond obvious concerns about vetting algorithms that impact patient care, there are additional subtle yet equally important things to consider: the potential harm AI poses to its own integrity and the broader medical information ecosystem.
View Article and Find Full Text PDFAutomated landmark-based cat facial analysis and its applications.
Front Vet Sci
December 2024
Information Systems Department, University of Haifa, Haifa, Israel.
Facial landmarks, widely studied in human affective computing, are beginning to gain interest in the animal domain. Specifically, landmark-based geometric morphometric methods have been used to objectively assess facial expressions in cats, focusing on pain recognition and the impact of breed-specific morphology on facial signaling. These methods employed a 48-landmark scheme grounded in cat facial anatomy.
View Article and Find Full Text PDFPredictive Scores for Identifying Chronic Opioid Dependence After General Anesthesia Surgery.
J Pain Res
December 2024
Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, People's Republic of China.
Purpose: To address the prevalence and risk factors of postoperative chronic opioid dependence, focusing on the development of a predictive scoring system to identify high-risk populations.
Methods: We analyzed data from the Taiwan Health Insurance Research Database spanning January 2016 to December 2018, encompassing adults undergoing major elective surgeries with general anesthesia. Patient demographics, surgical details, comorbidities, and preoperative medication use were scrutinized.
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