Publications by authors named "A F Dean"

Purpose: A previously developed machine-learning approach with Kalman-filtering technology accurately predicted disease trajectory for patients with various glaucoma types and severities using clinical trials data. This study assesses performance of the KF approach with real-world data.

Design: Retrospective cohort study.

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Background: Acute myocardial infarction-related cardiogenic shock (AMICS) is a severe complication associated with exceedingly high mortality rates. While mechanical circulatory support (MCS) has emerged as a potential intervention, the evidence base for independent MCS use remains weak. In contrast, systematic reviews of observational studies have revealed significant mortality reduction when a combination of MCS was used: VA-ECMO in conjunction with a left ventricular (LV) unloading device (Impella or IABP).

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Background: Non-tuberculous mycobacteria (NTM) are environmental agents that can cause opportunistic pulmonary disease in humans and animals, often misdiagnosed as tuberculosis (TB). In this study, we describe the cases of NTM identified during the first national anti-TB drug resistance survey conducted in Mali and explore associated risk factors.

Methods: Sputum was collected from people presenting for pulmonary TB diagnosis from April to December 2019, regardless of age.

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Article Synopsis
  • Recent treatment options for advanced classical Hodgkin lymphoma have evolved from the longstanding ABVD regimen, with new combinations showing improved survival rates but also increased side effects.
  • A study tested a new treatment protocol (AN+AD) which replaces vinblastine with nivolumab, enrolling patients with treatment-naive stage II bulky or III/IV cHL, leading to promising response rates.
  • At the time of analysis, patients showed an 88% complete response rate and a favorable safety profile, suggesting further investigation into this new combination therapy is necessary.
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  • Core loss spectroscopies offer detailed insights into redox processes in Li-ion battery cathodes, necessitating precise interpretation of their spectral features, particularly the oxygen K-edge spectra of lithium transition-metal oxides (LiMO).
  • Using density-functional theory (DFT), three exchange-correlation functionals were applied to simulate the spectra, with rSCAN showing a better alignment with experimental data compared to PBE and PBE +, especially for energies near the main edge.
  • The study demonstrates that DFT can effectively link experimental spectroscopic signatures to theoretical models, revealing the impact of structural distortions, chemical composition, and magnetism on the differentiation of materials with similar structures and magnetic states.
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