Publications by authors named "J P Mensa"
Article Synopsis
- * The review focuses on the experience of developing a virtual control center for COVID-19 patients in Spain, showcasing how CDSS allowed for real-time monitoring and improved personalized medical care during the pandemic.
- * While CDSS can enhance patient care quality and increase healthcare efficiency, challenges remain, such as the need for training medical professionals to use the systems effectively and maintaining updated software.
Background: This study aimed to describe documented infections associated with postinfusion fever after CAR T-cell therapy and to evaluate daily changes in vital signs, laboratory results, and the National Early Warning Score (NEWS) in patients with and without confirmed bacterial infections following fever onset, with the objective of assisting in antibiotic stewardship.
Methods: This was a retrospective, observational study including all consecutive adult patients who received CAR T-cell therapy. Documented infection in the first fever episode after infusion, and clinical and analytic trend comparison of patients with bacterial documented infections and those without documented infections, are described.
Article Synopsis
- The study investigates the effectiveness of remdesivir on reducing mortality in COVID-19 patients, focusing on identifying specific patient groups that benefit the most from the treatment.
- Researchers analyzed data from 1160 hospitalized patients, identifying five distinct clusters based on factors like symptoms duration and lymphocyte counts, which revealed varying mortality rates among these groups.
- The findings suggest that patients with higher viral loads—characterized by lower lymphocyte counts and shorter symptom duration—showed significant mortality improvement when treated with remdesivir, validating these results in a separate patient cohort.
Background: We aimed to describe a cohort of hematologic patients with COVID-19 treated with antivirals early.
Methods: Non-interventional chart review study. Comparison of baseline characteristics and outcomes in high-risk hematologic patients treated with remdesivir between December 2021 and April 2022 versus those treated with nirmatrelvir/ritonavir between May and August 2022.
Introduction: Artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize the management of febrile neutropenia (FN) and drive progress toward personalized medicine.
Areas Covered: In this review, we detail how the collection of a large number of high-quality data can be used to conduct precise mathematical studies with ML and AI. We explain the foundations of these techniques, covering the fundamentals of supervised and unsupervised learning, as well as the most important challenges, e.