Results 61 to 70 of about 190,317 (312)

Model-based cost-effectiveness analysis of atorvastatin drugs for prevention of cardiovascular diseases in Iran

open access: yesInternational Journal of Preventive Medicine, 2020
Background: Today, cardiovascular disease is one of the main causes of mortality and disability in most developed and developing countries. The prediction of the major causes of deaths all over the world at all ages shows that 61% of deaths are due to ...
Alireza Jabbari   +3 more
doaj   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

open access: yesAdvanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang   +4 more
wiley   +1 more source

Impact analysis of expanded access to ketamine for treatment-resistant depression

open access: yesJournal of Comparative Effectiveness Research
Aim: This study aimed to estimate the economic impacts of expanded access to ketamine relative to electroconvulsive therapy (ECT) by offering intravenous ketamine to US patients with nonpsychotic treatment-resistant depression (TRD) and moderate-to ...
Thanh Lu   +5 more
doaj   +1 more source

Hump‐Shaped Relationship Between Microbial Carbon Use‐Efficiency and Soil Organic Carbon in Alpine Grasslands

open access: yesAdvanced Science, EarlyView.
On the Qinghai–Tibetan Plateau, microbial carbon use efficiency (CUE) peaks at intermediate soil organic carbon levels and declines thereafter. In carbon‐rich soils, the formation of stable mineral‐associated organic carbon is decoupled from microbial CUE.
Yuting Wang   +8 more
wiley   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

open access: yesAdvanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li   +8 more
wiley   +1 more source

Structural Variation and 3D Genome‐Driven DNA/RNA Methylation Divergence Contributing to Cotton Fiber Domestication

open access: yesAdvanced Science, EarlyView.
These findings elucidated the crucial role of the “SVs‐3D genome remodeling‐epigenetic modifications‐gene expression” cascade regulatory network in cotton fiber domestication, offering both a theoretical foundation and genetic resources for molecular design breeding in fiber crops.
Lei Shao   +11 more
wiley   +1 more source

Cost-Effectiveness Analysis of the TCM “Yupingfeng Granules” in the Treatment of Acute Exacerbations of COPD Based on a Randomized Clinical Trial

open access: yesInternational Journal of COPD, 2022
Ming Hu,1,* Pan Ding,1,* Jinfang Ma,2 Nan Yang,1 Jinping Zheng,2 Naitong Zhou1 1West China School of Pharmacy Sichuan University, Chengdu, People’s Republic of China; 2State Key Laboratory of Respiratory Disease, National Clinical Research Center
Hu M   +5 more
doaj  

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

open access: yesAdvanced Science, EarlyView.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

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