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Efficacy and safety of SHEN26, a novel oral small molecular RdRp inhibitor for COVID-19 treatment: a multicenter, randomized, double-blinded, placebo-controlled, phase II clinical trial.
Virol J
January 2025
Medi-X Pingshan, Southern University of Science and Technology, Shenzhen, Guangdong, 518118, China.
Background: SHEN26 (ATV014) is an oral RNA-dependent RNA polymerase (RdRp) inhibitor with potential anti-SARS-CoV-2 activity. Safety, tolerability, and pharmacokinetic characteristics were verified in a Phase I study. This phase II study aimed to verify the efficacy and safety of SHEN26 in COVID-19 patients.
View Article and Find Full Text PDFPurpose: To evaluate the effect of osilodrostat and hypercortisolism control on blood pressure (BP) and glycemic control in patients with Cushing's disease.
Methods: Pooled analysis of two Phase III osilodrostat studies (LINC 3 and LINC 4), both comprising a 48-week core phase and an optional open-label extension. Changes from baseline in systolic and diastolic BP (SBP and DBP), fasting plasma glucose (FPG), and glycated hemoglobin (HbA) were evaluated during osilodrostat treatment in patients with/without hypertension or diabetes at baseline.
Clinical value of quantitative echocardiographic features in preterm infants with necrotizing enterocolitis.
Sci Rep
January 2025
Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.
This study investigated the correlation between quantitative echocardiographic characteristics within 3 days of birth and necrotizing enterocolitis (NEC) and its severity in preterm infants. A retrospective study was conducted on 168 preterm infants with a gestational age of < 34 weeks. Patients were categorized into NEC and non-NEC groups.
View Article and Find Full Text PDFDeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts.
Sci Data
January 2025
Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Leipzig, 04103, Germany.
With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, and curated analysis-ready datasets. Earth observation datasets comprehensively monitor ecosystem dynamics and responses to climatic extremes, yet the data complexity can challenge the effectiveness of machine learning models.
View Article and Find Full Text PDFLDPC-cat codes for low-overhead quantum computing in 2D.
Nat Commun
January 2025
Université de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France.
The main obstacle to large scale quantum computing are the errors present in every physical qubit realization. Correcting these errors requires a large number of additional qubits. Two main avenues to reduce this overhead are (i) low-density parity check (LDPC) codes requiring very few additional qubits to correct errors (ii) cat qubits where bit-flip errors are exponentially suppressed by design.
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