keyword
https://read.qxmd.com/read/38492097/prediction-of-cytochrome-p450-mediated-bioactivation-using-machine-learning-models-and-in-vitro-validation
#21
JOURNAL ARTICLE
Xin-Man Hu, Yan-Yao Hou, Xin-Ru Teng, Yong Liu, Yu Li, Wei Li, Yan Li, Chun-Zhi Ai
Cytochrome P450 (P450)-mediated bioactivation, which can lead to the hepatotoxicity through the formation of reactive metabolites (RMs), has been regarded as the major problem of drug failures. Herein, we purposed to establish machine learning models to predict the bioactivation of P450. On the basis of the literature-derived bioactivation dataset, models for Benzene ring, Nitrogen heterocycle and Sulfur heterocycle were developed with machine learning methods, i.e., Random Forest, Random Subspace, SVM and Naïve Bayes...
March 16, 2024: Archives of Toxicology
https://read.qxmd.com/read/38492096/diffusion-weighted-imaging-based-radiomics-model-using-automatic-machine-learning-to-differentiate-cerebral-cystic-metastases-from-brain-abscesses
#22
JOURNAL ARTICLE
Linyang Cui, Zheng Qin, Siyuan Sun, Weihua Feng, Mingyuan Hou, Dexin Yu
OBJECTIVES: To develop a radiomics model based on diffusion-weighted imaging (DWI) utilizing automated machine learning method to differentiate cerebral cystic metastases from brain abscesses. MATERIALS AND METHODS: A total of 186 patients with cerebral cystic metastases (n = 98) and brain abscesses (n = 88) from two clinical institutions were retrospectively included. The datasets (129 from institution A) were randomly portioned into separate 75% training and 25% internal testing sets...
March 16, 2024: Journal of Cancer Research and Clinical Oncology
https://read.qxmd.com/read/38491814/understanding-gut-microbiome-based-machine-learning-platforms-a-review-on-therapeutic-approaches-using-deep-learning
#23
REVIEW
Shilpa Malakar, Priya Sutaoney, Harishkumar Madhyastha, Kamal Shah, Nagendra Singh Chauhan, Paromita Banerjee
Human beings possess trillions of microbial cells in a symbiotic relationship. This relationship benefits both partners for a long time. The gut microbiota helps in many bodily functions from harvesting energy from digested food to strengthening biochemical barriers of the gut and intestine. But the changes in microbiota composition and bacteria that can enter the gastrointestinal tract can cause infection. Several approaches like culture-independent techniques such as high-throughput and meta-omics projects targeting 16S ribosomal RNA (rRNA) sequencing are popular methods to investigate the composition of the human gastrointestinal tract microbiota and taxonomically characterizing microbial communities...
March 2024: Chemical Biology & Drug Design
https://read.qxmd.com/read/38491754/deep-learning-based-super-resolution-for-accelerating-chemical-exchange-saturation-transfer-mri
#24
JOURNAL ARTICLE
Rohith Saai Pemmasani Prabakaran, Se Weon Park, Joseph H C Lai, Kexin Wang, Jiadi Xu, Zilin Chen, Abdul-Mojeed Olabisi Ilyas, Huabing Liu, Jianpan Huang, Kannie W Y Chan
Chemical exchange saturation transfer (CEST) MRI is a molecular imaging tool that provides physiological information about tissues, making it an invaluable tool for disease diagnosis and guided treatment. Its clinical application requires the acquisition of high-resolution images capable of accurately identifying subtle regional changes in vivo, while simultaneously maintaining a high level of spectral resolution. However, the acquisition of such high-resolution images is time consuming, presenting a challenge for practical implementation in clinical settings...
March 15, 2024: NMR in Biomedicine
https://read.qxmd.com/read/38491745/machine-learning-based-endothelial-cell-image-analysis-of-patients-undergoing-descemet-membrane-endothelial-keratoplasty-surgery
#25
JOURNAL ARTICLE
Emine Esra Karaca, Feyza Dicle Işık, Reza Hassanpour, Kasım Oztoprak, Özlem Evren Kemer
OBJECTIVES: In this study, we developed a machine learning approach for postoperative corneal endothelial cell images of patients who underwent Descemet's membrane keratoplasty (DMEK). METHODS: An AlexNet model is proposed and validated throughout the study for endothelial cell segmentation and cell location determination. The 506 images of postoperative corneal endothelial cells were analyzed. Endothelial cell detection, segmentation, and determining of its polygonal structure were identified...
March 18, 2024: Biomedizinische Technik. Biomedical Engineering
https://read.qxmd.com/read/38491651/learning-interpretable-collective-variables-for-spreading-processes-on-networks
#26
JOURNAL ARTICLE
Marvin Lücke, Stefanie Winkelmann, Jobst Heitzig, Nora Molkenthin, Péter Koltai
Collective variables (CVs) are low-dimensional projections of high-dimensional system states. They are used to gain insights into complex emergent dynamical behaviors of processes on networks. The relation between CVs and network measures is not well understood and its derivation typically requires detailed knowledge of both the dynamical system and the network topology. In this Letter, we present a data-driven method for algorithmically learning and understanding CVs for binary-state spreading processes on networks of arbitrary topology...
February 2024: Physical Review. E
https://read.qxmd.com/read/38491629/constructing-polynomial-libraries-for-reservoir-computing-in-nonlinear-dynamical-system-forecasting
#27
JOURNAL ARTICLE
Hu-Hu Ren, Yu-Long Bai, Man-Hong Fan, Lin Ding, Xiao-Xin Yue, Qing-He Yu
Reservoir computing is an effective model for learning and predicting nonlinear and chaotic dynamical systems; however, there remains a challenge in achieving a more dependable evolution for such systems. Based on the foundation of Koopman operator theory, considering the effectiveness of the sparse identification of nonlinear dynamics algorithm to construct candidate nonlinear libraries in the application of nonlinear data, an alternative reservoir computing method is proposed, which creates the linear Hilbert space of the nonlinear system by including nonlinear terms in the optimization process of reservoir computing, allowing for the application of linear optimization...
February 2024: Physical Review. E
https://read.qxmd.com/read/38491610/complex-networks-with-complex-weights
#28
JOURNAL ARTICLE
Lucas Böttcher, Mason A Porter
In many studies, it is common to use binary (i.e., unweighted) edges to examine networks of entities that are either adjacent or not adjacent. Researchers have generalized such binary networks to incorporate edge weights, which allow one to encode node-node interactions with heterogeneous intensities or frequencies (e.g., in transportation networks, supply chains, and social networks). Most such studies have considered real-valued weights, despite the fact that networks with complex weights arise in fields as diverse as quantum information, quantum chemistry, electrodynamics, rheology, and machine learning...
February 2024: Physical Review. E
https://read.qxmd.com/read/38491534/a-novel-machine-learning-framework-based-on-early-embryo-morphokinetics-identifies-a-feature-signature-associated-with-blastocyst-development
#29
JOURNAL ARTICLE
S Canosa, N Licheri, L Bergandi, G Gennarelli, C Paschero, M Beccuti, D Cimadomo, G Coticchio, L Rienzi, C Benedetto, F Cordero, A Revelli
BACKGROUND: Artificial Intelligence entails the application of computer algorithms to the huge and heterogeneous amount of morphodynamic data produced by Time-Lapse Technology. In this context, Machine Learning (ML) methods were developed in order to assist embryologists with automatized and objective predictive models able to standardize human embryo assessment. In this study, we aimed at developing a novel ML-based strategy to identify relevant patterns associated with the prediction of blastocyst development stage on day 5...
March 15, 2024: Journal of Ovarian Research
https://read.qxmd.com/read/38491519/the-rise-of-big-data-deep-sequencing-driven-computational-methods-are-transforming-the-landscape-of-synthetic-antibody-design
#30
REVIEW
Eugenio Gallo
Synthetic antibodies (Abs) represent a category of artificial proteins capable of closely emulating the functions of natural Abs. Their in vitro production eliminates the need for an immunological response, streamlining the process of Ab discovery, engineering, and development. These artificially engineered Abs offer novel approaches to antigen recognition, paratope site manipulation, and biochemical/biophysical enhancements. As a result, synthetic Abs are fundamentally reshaping conventional methods of Ab production...
March 16, 2024: Journal of Biomedical Science
https://read.qxmd.com/read/38491397/development-and-effectiveness-of-a-boppps-teaching-model-based-workshop-for-community-pharmacists-training
#31
JOURNAL ARTICLE
Bingzheng Shen, Yating Chen, Yue Wu, Yu Lan, Xiaoqin He, Na Wang, Jun Liu, Yan Yu
BACKGROUND/AIM: With the pharmaceutical innovation and clinical knowledge updating, the continuing education and on-the-job training are extremely important for improving community pharmacists' professional competence. Previous training often adopted traditional lecture-based teaching, and the efficacy was limited. The aim of this study is to develop a new strategy for community pharmacist training. METHODS: Based on the BOPPPS (Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment and Summary) teaching model and workshop method, a continuing on-the-job training program was constructed...
March 15, 2024: BMC Medical Education
https://read.qxmd.com/read/38491363/applying-narrative-medicine-to-prepare-empathetic-healthcare-providers-in-undergraduate-pharmacy-education-in-singapore-a-mixed-methods-study
#32
JOURNAL ARTICLE
Zhe Han, Keith C Barton, Li-Ching Ho, Kai Zhen Yap, Doreen Su-Yin Tan, Shuh Shing Lee, Constance Xue Rui Neo, Amanda Han Lin Tan, Brian Ming Yao Boey, Charis Jia Yan Soon, Paul J Gallagher
BACKGROUND: Narrative medicine demonstrated positive impact on empathy in medicine and nursing students. However, this pedagogical approach had not been evaluated in pharmacy education. This study sought to apply and evaluate the narrative medicine approach in extending empathy in Asian undergraduate pharmacy students. METHODS: Narrative medicine was applied through workshops which used narratives of people with different experiences and perspectives. First-year undergraduate pharmacy students who volunteered and attended these workshops formed the intervention group (N = 31) and the remaining first-year cohort formed the control group (N = 112)...
March 15, 2024: BMC Medical Education
https://read.qxmd.com/read/38491248/epdrna-a-model-for-identifying-dna-rna-binding-sites-in-disease-related-proteins
#33
JOURNAL ARTICLE
CanZhuang Sun, YongE Feng
Protein-DNA and protein-RNA interactions are involved in many biological processes and regulate many cellular functions. Moreover, they are related to many human diseases. To understand the molecular mechanism of protein-DNA binding and protein-RNA binding, it is important to identify which residues in the protein sequence bind to DNA and RNA. At present, there are few methods for specifically identifying the binding sites of disease-related protein-DNA and protein-RNA. In this study, so we combined four machine learning algorithms into an ensemble classifier (EPDRNA) to predict DNA and RNA binding sites in disease-related proteins...
March 16, 2024: Protein Journal
https://read.qxmd.com/read/38491244/pele-scores-pelvic-x-ray-landmark-detection-with-pelvis-extraction-and-enhancement
#34
JOURNAL ARTICLE
Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S Kevin Zhou
PURPOSE: Pelvic X-ray (PXR) is widely utilized in clinical decision-making associated with the pelvis, the lower part of the trunk that supports and balances the trunk. In particular, PXR-based landmark detection facilitates downstream analysis and computer-assisted diagnosis and treatment of pelvic diseases. Although PXR has the advantages of low radiation and reduced cost compared to computed tomography (CT), it characterizes the 2D pelvis-tissue superposition of 3D structures, which may affect the accuracy of landmark detection in some cases...
March 15, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38491234/differential-diagnosis-of-diabetic-foot-osteomyelitis-and-charcot-neuropathic-osteoarthropathy-with-deep-learning-methods
#35
JOURNAL ARTICLE
Maide Cakir, Gökalp Tulum, Ferhat Cuce, Kerim Bora Yilmaz, Ayse Aralasmak, Muhammet İkbal Isik, Hüseyin Canbolat
Our study aims to evaluate the potential of a deep learning (DL) algorithm for differentiating the signal intensity of bone marrow between osteomyelitis (OM), Charcot neuropathic osteoarthropathy (CNO), and trauma (TR). The local ethics committee approved this retrospective study. From 148 patients, segmentation resulted in 679 labeled regions for T1-weighted images (comprising 151 CNO, 257 OM, and 271 TR) and 714 labeled regions for T2-weighted images (consisting of 160 CNO, 272 OM, and 282 TR). We employed both multi-class classification (MCC) and binary-class classification (BCC) approaches to compare the classification outcomes of CNO, TR, and OM...
March 15, 2024: J Imaging Inform Med
https://read.qxmd.com/read/38491134/empowering-coffee-farming-using-counterfactual-recommendation-based-rnn-driven-iot-integrated-soil-quality-command-system
#36
JOURNAL ARTICLE
Raveena Selvanarayanan, Surendran Rajendran, Sameer Algburi, Osamah Ibrahim Khalaf, Habib Hamam
Soil health is essential for whirling stale soil into rich coffee-growing land. By keeping healthy soil, coffee producers may improve plant growth, leaf health, buds, cherry and bean quality, and yield. Traditional soil monitoring is tedious, time-consuming, and error-prone. Enhancing the monitoring system using AI-based IoT technologies for quick and precise changes. Integrated soil fertility control system to optimize soil health, maximize efficiency, promote sustainability, and prevent crop threads using real-time data analysis to turn infertile land into fertile land...
March 15, 2024: Scientific Reports
https://read.qxmd.com/read/38491124/identification-of-hedyotis-diffusa-willd-specific-mrna-mirna-lncrna-network-in-rheumatoid-arthritis-based-on-network-pharmacology-bioinformatics-analysis-and-experimental-verification
#37
JOURNAL ARTICLE
Jing Jiang, Meng Huang, Si-Si Zhang, Yong-Gang Wu, Xiao-Long Li, Hui Deng, Xin-Yu Qili, Jian-Lin Chen, Yao Meng, Wen-Kui Sun
Hedyotis diffusa Willd (HDW) possesses heat-clearing, detoxification, anti-cancer, and anti-inflammatory properties. However, its effects on rheumatoid arthritis (RA) remain under-researched. In this study, we identified potential targets of HDW and collected differentially expressed genes of RA from the GEO dataset GSE77298, leading to the construction of a drug-component-target-disease regulatory network. The intersecting genes underwent GO and KEGG analysis. A PPI protein interaction network was established in the STRING database...
March 15, 2024: Scientific Reports
https://read.qxmd.com/read/38491112/picture-analysis-of-billboards-and-infographic-graphics-advertising-covid-19-on-promoting-preventive-behaviors-and-taking-vaccination-against-the-coronavirus-disease-pandemic
#38
JOURNAL ARTICLE
Fereshteh Mohamadpour, Ardalan Askarian, Mehrdad Askarian
Today, advertising science is a tool that helps advertisers to design their advertising to meet the needs of the audience. In this regard, knowing and understanding the audience is one of the most important points that advertisers should pay attention to before advertising in order to better attract the audience. This study has been done with the aim of billboards and infographics analysis related to promoting preventive behaviors and vaccination against the Coronavirus disease pandemic and investigating the opinion of the general adult population of Iran...
March 15, 2024: Scientific Reports
https://read.qxmd.com/read/38491105/dynamic-constitutive-identification-of-concrete-based-on-improved-dung-beetle-algorithm-to-optimize-long-short-term-memory-model
#39
JOURNAL ARTICLE
Ping Li, Haonan Zhao, Jiming Gu, Shiwei Duan
In order to improve the accuracy of concrete dynamic principal identification, a concrete dynamic principal identification model based on Improved Dung Beetle Algorithm (IDBO) optimized Long Short-Term Memory (LSTM) network is proposed. Firstly, the apparent stress-strain curves of concrete containing damage evolution were measured by Split Hopkinson Pressure Bar (SHPB) test to decouple and separate the damage and rheology, and this system was modeled by using LSTM network. Secondly, for the problem of low convergence accuracy and easy to fall into local optimum of Dung Beetle Algorithm (DBO), the greedy lens imaging reverse learning initialization population strategy, the embedded curve adaptive weighting factor and the PID control optimal solution perturbation strategy are introduced, and the superiority of IDBO algorithm is proved through the comparison of optimization test with DBO, Harris Hawk Optimization Algorithm, Gray Wolf Algorithm, and Fruit Fly Algorithm and the combination of LSTM is built to construct the IDBO-LSTM dynamic homeostasis identification model...
March 15, 2024: Scientific Reports
https://read.qxmd.com/read/38491067/multitemporal-analysis-of-land-subsidence-induced-by-open-pit-mining-activity-using-improved-combined-scatterer-interferometry-with-deep-learning-algorithm-optimization
#40
JOURNAL ARTICLE
Muhammad Fulki Fadhillah, Wahyu Luqmanul Hakim, Seul-Ki Lee, Kwang-Jae Lee, Seung-Jae Lee, Sung-Ho Chae, Hoonyol Lee, Chang-Wook Lee
Mine operational safety is an important aspect of maintaining the operational continuity of a mining area. In this study, we used the InSAR time series to analyze land surface changes using the ICOPS (improved combined scatterers with optimized point scatters) method. This ICOPS method combines persistent scatterers (PS) with distributed scatterers (DS) to increase surface deformation analysis's spatial coverage and quality. One of the improvements of this study is the use of machine learning in postprocessing, based on convolutional neural networks, to increase the reliability of results...
March 15, 2024: Scientific Reports
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