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Why APT is maintaining a low profile despite Aptos ’ latest partnerships
Aptos has been gaining momentum on the business front considering the number of partnerships for the network. However, that hasn't led to any bullish momentum for APT.#apt
Source: Reuters: Health - September 21, 2023 Category: Consumer Health News Source Type: news
A consistent pattern of slide effects in Illumina DNA methylation BeadChip array data
Volume 18, Issue 1, December 2023 .
Source: Epigenetics - September 21, 2023 Category: Genetics & Stem Cells Authors: Julian HeckerSanghun LeePriyadarshini KachrooDmitry ProkopenkoAnna Maaser-HeckerSharon M. LutzGeorg HahnRafael IrizarryScott T. WeissDawn L. DeMeoChristoph Langea Channing Division of Network Medicine, Brigham and Women ’s Hospital and Harvard Medical S Source Type: research
Cancers, Vol. 15, Pages 4655: An Interpretable Three-Dimensional Artificial Intelligence Model for Computer-Aided Diagnosis of Lung Nodules in Computed Tomography Images
In this study, an improved 3D interpretable hierarchical semantic convolutional neural network named HSNet was developed and validated for the automatic diagnosis of lung cancer based on a collection of lung nodule images. The interpretable AI model proposed in this study, with different training strategies and adjustment of model parameters, such as cyclic learning rate and random weight averaging, demonstrated better diagnostic performance than the previous literature, with results of a four-fold cross-validation procedure showing calcification: 0.9873 ± 0.006, margin: 0.9207 ± 0.009, subtle...
Source: Cancers - September 21, 2023 Category: Cancer & Oncology Authors: Sheng-Chieh Hung Yao-Tung Wang Ming-Hseng Tseng Tags: Article Source Type: research
Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images
Conclusions
Our algorithm showed robust performance in predicting visual impairment in patients with RP, thus providing proof-of-concept for predicting structure-function correlation based solely on cSLO imaging in patients with RP.
Source: British Journal of Ophthalmology - September 21, 2023 Category: Opthalmology Authors: Liu, T. Y. A., Ling, C., Hahn, L., Jones, C. K., Boon, C. J., Singh, M. S. Tags: Open access Original articles - Clinical science Source Type: research
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed to exploit the benefits of ML in this field fully. In particular, there is a need to establish “gold standard” protocols for conducting ML analysis experiments and improve interactions between microbiome researchers and ML experts. The Machine Learning Techniques in Human Mi...
Source: Frontiers in Microbiology - September 21, 2023 Category: Microbiology Source Type: research
Evaluation of Whole and Core Genome Multilocus Sequence Typing Allele Schemes for Salmonella enterica Outbreak Detection in a National Surveillance Network, PulseNet USA
This study demonstrates that Salmonella isolates clustered in concordance with epidemiologic data using three WGS-based subtyping methods and supports using cgMLST as the primary method for national surveillance of Salmonella outbreak clusters.
Source: Frontiers in Microbiology - September 21, 2023 Category: Microbiology Source Type: research
Sensors, Vol. 23, Pages 8010: Remote Sensing Image Scene Classification in Hybrid Classical & ndash;Quantum Transferring CNN with Small Samples
Sensors, Vol. 23, Pages 8010: Remote Sensing Image Scene Classification in Hybrid Classical–Quantum Transferring CNN with Small Samples
Sensors doi: 10.3390/s23188010
Authors:
Zhouwei Zhang
Xiaofei Mi
Jian Yang
Xiangqin Wei
Yan Liu
Jian Yan
Peizhuo Liu
Xingfa Gu
Tao Yu
The scope of this research lies in the combination of pre-trained Convolutional Neural Networks (CNNs) and Quantum Convolutional Neural Networks (QCNN) in application to Remote Sensing Image Scene Classification(RSISC). Deep learning (RL) is improving by leaps and bounds pretrained CNNs in Remote Sensing Image (RSI) analysis...
Source: Sensors - September 21, 2023 Category: Biotechnology Authors: Zhouwei Zhang Xiaofei Mi Jian Yang Xiangqin Wei Yan Liu Jian Yan Peizhuo Liu Xingfa Gu Tao Yu Tags: Article Source Type: research
Sensors, Vol. 23, Pages 8004: Enhancing Feature Detection and Matching in Low-Pixel-Resolution Hyperspectral Images Using 3D Convolution-Based Siamese Networks
anaka
Today, hyperspectral imaging plays an integral part in the remote sensing and precision agriculture field. Identifying the matching key points between hyperspectral images is an important step in tasks such as image registration, localization, object recognition, and object tracking. Low-pixel resolution hyperspectral imaging is a recent introduction to the field, bringing benefits such as lower cost and form factor compared to traditional systems. However, the use of limited pixel resolution challenges even state-of-the-art feature detection and matching methods, leading to difficulties in generating robust feat...
Source: Sensors - September 21, 2023 Category: Biotechnology Authors: Chamika Janith Perera Chinthaka Premachandra Hiroharu Kawanaka Tags: Article Source Type: research
Sensors, Vol. 23, Pages 8003: Revealing Long-Term Indoor Air Quality Prediction: An Intelligent Informer-Based Approach
Haonan Zhang
Indoor air pollution is an urgent issue, posing a significant threat to the health of indoor workers and residents. Individuals engaged in indoor occupations typically spend an average of around 21 h per day in enclosed spaces, while residents spend approximately 13 h indoors on average. Accurately predicting indoor air quality is crucial for the well-being of indoor workers and frequent home dwellers. Despite the development of numerous methods for indoor air quality prediction, the task remains challenging, especially under constraints of limited air quality data collection points. To address this issue...
Source: Sensors - September 21, 2023 Category: Biotechnology Authors: Hui Long Jueling Luo Yalu Zhang Shijie Li Si Xie Haodong Ma Haonan Zhang Tags: Communication Source Type: research
Alu transposable elements rewire enhancer-promoter network through RNA pairing
A recent study by Liang et al.1 reveals that interacting enhancer RNAs (eRNAs) and promoter-transcribed upstream antisense RNAs (uaRNAs) can identify enhancer-promoter interactions. Complementary sequences within the interacting eRNAs and uaRNAs, predominantly Alu sequences, confer the specificity for eRNA-uaRNA pairing and hence enhancer-promoter recognition.
Source: Molecular Cell - September 21, 2023 Category: Cytology Authors: Xingzhao Wen, Sheng Zhong Tags: Spotlight Source Type: research
Exploring advanced methods for network meta-analysis
High-quality systematic reviews (SRs) of both new and existing health technologies are vital to inform clinical practices and healthcare decision-making. This has been recognised by global entities such as the World Health Organization and national healthcare policy agencies like the Canadian Agency for Drugs and Technologies in Health, the National Institute for Health and Care Excellence in the United Kingdom, and the National Health and Medical Research Council in Australia. These SRs serve as the foundation for evidence-based practices and policies, which is reflected in the increasing number of publications in recent ...
Source: Evidence-Based Medicine - September 21, 2023 Category: Internal Medicine Authors: Veroniki, A. A., Franco, J. V. A. Tags: Editorials Source Type: research
Tumor mutation burden-related histopathological features for predicting overall survival in gliomas using graph deep learning
This study aimed to identify the TMB-related histopathological features from hematoxylin and eosin slides and explore their prognostic value in gliomas. We detected the TMB-related features using a graph convolutional neural network from whole slide image (WSI) of patients from The Cancer Genome Atlas dataset (619 patients), and evaluated the correlation between features and TMB in an external validation set (237 patients).
Source: American Journal of Pathology - September 21, 2023 Category: Pathology Authors: Caixia Sun, Tao Luo, Zhenyu Liu, Jia Ge, Lizhi Shao, Xiangyu Liu, Bao Li, Song Zhang, Qi Qiu, Wei Wei, Shuo Wang, Xiu-Wu Bian, Jie Tian Tags: Regular Article Source Type: research
Implementing hierarchical network meta-analysis incorporating exchangeable dose effects compared to standard hierarchical network meta-analysis
Introduction Network meta-analysis (NMA) compares the efficacy or safety of more than two treatments or treatment doses that are directly or indirectly compared through a common comparator.1 2 Treatment doses are not routinely incorporated into NMAs, which potentially limits the applicability and validity of results.3 4 In this paper, we will introduce readers to NMA incorporating dose effects, specifically, how they can implement a hierarchical random effects NMA incorporating exchangeable dose effects. In particular, we share a motivating clinical example describing the comparative risk of vomiting associated with differ...
Source: Evidence-Based Medicine - September 21, 2023 Category: Internal Medicine Authors: Watt, J., Hofmeister, M., Del Giovane, C., Turner, R., Tricco, A. C., Mavridis, D., Straus, S., Veroniki, A. A. Tags: EBM learning Source Type: research
The pharmacological mechanism of chaihu-jia-longgu-muli-tang for treating depression: integrated meta-analysis and network pharmacology analysis
Conclusion: Compared to SSRIs/SNRIs alone, CLM is more effective and safe in treating depression. It not only significantly alleviates depressive mood, but improves symptoms such as anxiety and insomnia, with fewer side effects, especially in combination with SSRI. Its antidepressant mechanism may be correlated with the regulation of the PI3K/Akt signaling pathway and inhibiting inflammatory response.
Source: Frontiers in Pharmacology - September 21, 2023 Category: Drugs & Pharmacology Source Type: research
Comparison of the efficacy and safety of third-line treatments for metastatic colorectal cancer: a systematic review and network meta-analysis
ConclusionTAS-102, fruquintinib, TAS-102 plus bevacizumab, the regorafenib standard dose regimen (regorafenib), and the regorafenib dose-escalation regimen (regorafenib 80+) all demonstrated improved OS and PFS compared to BSC in mCRC patients. However, TAS-102 plus bevacizumab may be the optimal choice for third-line treatment in mCRC patients.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php, CRD42023434929.
Source: Frontiers in Oncology - September 21, 2023 Category: Cancer & Oncology Source Type: research
