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Predicting the risk of intensive care unit admission in patients with COVID-19 presenting in the emergency room: Development and evaluation of the CROSS score.
Clin Infect Dis
January 2025
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Background: Existing risk evaluation tools underperform in predicting intensive care unit (ICU) admission for patients with the Coronavirus Disease 2019 (COVID-19). This study aimed to develop and evaluate an accurate and calculator-free clinical tool for predicting ICU admission at emergency room (ER) presentation.
Methods: Data from patients with COVID-19 in a nationwide German cohort (March 2020-January 2023) were analyzed.
Diffusion Generative Models for Designing Efficient Singlet Fission Dimers.
J Phys Chem A
January 2025
Institute of Physical and Theoretical Chemistry, Julius-Maximilians-Universität Würzburg, Emil-Fischer-Str. 42, Würzburg 97074, Germany.
Diffusion generative models, a class of machine learning techniques, have shown remarkable promise in materials science and chemistry by enabling the precise generation of complex molecular structures. In this article, we propose a novel application of diffusion generative models for stabilizing reactive molecular structures identified through quantum mechanical screening. Specifically, we focus on the design challenge presented by singlet fission (SF), a phenomenon crucial for advancing solar cell efficiency beyond theoretical limits.
View Article and Find Full Text PDFThe TRIPOD-LLM reporting guideline for studies using large language models.
Nat Med
January 2025
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.
View Article and Find Full Text PDFExperiences of patients with metastatic colorectal cancer participating in a supervised exercise intervention during chemotherapy.
Support Care Cancer
January 2025
Department of Medical BioSciences (HP 928), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands.
Purpose: Patients with metastatic colorectal cancer (mCRC) undergoing systemic treatment often experience toxicities. Although exercise may improve physical fitness and quality of life and counteract treatment toxicity, knowledge in patients with mCRC is limited. The ongoing randomized controlled AMICO trial evaluates the effects of supervised exercise on clinical outcomes.
View Article and Find Full Text PDFViews and opinions of the general public about the reimbursement of expensive medicines in the Netherlands.
PLoS One
January 2025
Department of Public Health, Healthcare Innovation & Evaluation and Medical Humanities, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Objectives: Solidarity-based healthcare systems are being challenged by the incremental costs of new and expensive medicines for cancer and rare diseases. To regulate reimbursement of such drugs, the Dutch government introduced a policy instrument known as the Coverage Lock (CL) in 2015. Little is known about the public opinion regarding such policy instruments and their consequences, i.
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