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Keywords: machine learning
Journal Article
Mental Health Professionals’ Perspectives on Digital Remote Monitoring in Services for People with Psychosis
Schizophrenia Bulletin, sbaf043, https://doi.org/10.1093/schbul/sbaf043
Published: 07 May 2025
..., provided the original work is properly cited. Abstract Background and Hypothesis Digital remote monitoring (DRM) captures service users’ health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared...
Journal Article
Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classification
Briefings in Bioinformatics, Volume 26, Issue 3, May 2025, bbaf205, https://doi.org/10.1093/bib/bbaf205
Published: 07 May 2025
... learning techniques to develop classification models for identifying promiscuous aggregating inhibitors. Using a training dataset of 10 000 aggregators and 10 000 nonaggregators, models were trained by combining four different molecular representations with various machine learning algorithms. We found...
Journal Article
ACCEPTED MANUSCRIPT
Phenotypic Clustering Analysis of Patients Rejected for Mitral Valve Interventions: Implications for Future Transcatheter Technologies Get access
European Heart Journal - Cardiovascular Imaging, jeaf141, https://doi.org/10.1093/ehjci/jeaf141
Published: 07 May 2025
... regurgitation clustering non-supervised machine learning transcatheter mitral valve replacement medical therapy ACCEPTED MANUSCRIPT 1 Phenotypic Clustering Analysis of Patients Rejected for Mitral Valve 2 Interventions: Implications for Future Transcatheter Technologies 3 4 Sebastian Ludwig, MD1,2,3...
Journal Article
ACCEPTED MANUSCRIPT
cfTools: an R/Bioconductor package for deconvolving cell-free DNA via methylation analysis
Bioinformatics Advances, vbaf108, https://doi.org/10.1093/bioadv/vbaf108
Published: 06 May 2025
.../jasminezhoulab/cfTools . Cancer DNA methylation Machine learning Deep learning Data analysis Page 2 of 8 Manuscripts submitted to Bioinformatics Advances 1 2 3 4 5 6 7 8 9 Software 10 11 cfTools: an R/Bioconductor package for deconvolving cell- 12 13 free DNA via methylation analysis 14 15 16 Ran Hu1,2,3...
Journal Article
ACCEPTED MANUSCRIPT
Integrating Support Vector Machines and Deep Learning Features for Oral Cancer Histopathology Analysis
Biology Methods and Protocols, bpaf034, https://doi.org/10.1093/biomethods/bpaf034
Published: 05 May 2025
... medical imaging tasks. This study underscores the value of combining complementary classification strategies to address the challenges of class imbalance and improve diagnostic workflows. Oral cancer histopathological images machine learning artificial intelligence fusion classification Page 1 of 90...
Journal Article
VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction
Briefings in Functional Genomics, Volume 24, 2025, elaf008, https://doi.org/10.1093/bfgp/elaf008
Published: 05 May 2025
...Jing Li; Zhongpeng Zhao; ChengZheng Tai; Ting Sun; Lingyun Tan; Xinyu Li; Wei He; HongJun Li; Jing Zhang Table 1 Average ROC statistics of eight commonly-used machine learning models. Model name Parameters ROC statistics Descriptor L Feature number (TOP-N) AUC Accuracy...
Journal Article
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Liquid Biopsy Based on Whole Blood Transcriptome and Artificial Intelligence for the prediction of Coronary Artery Calcification: A Pilot study
European Heart Journal - Digital Health, ztaf042, https://doi.org/10.1093/ehjdh/ztaf042
Published: 02 May 2025
... Graphical abstract transcriptome coronary calcium artificial intelligence machine learning liquid biopsy ACCEPTED MANUSCRIPT 1 Title 2 Liquid Biopsy Based on Whole Blood Transcriptome and Artificial Intelligence for the prediction of 3 Coronary Artery Calcification: A Pilot study 4 Authors 5 Poggio...
Journal Article
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A Neural Network Model for the Cosmic Dispersion Measure in the CAMELS Simulations
Monthly Notices of the Royal Astronomical Society, staf730, https://doi.org/10.1093/mnras/staf730
Published: 02 May 2025
... medium transients: fast radio bursts methods: numerical software: machine learning A Neural Network Model for the Cosmic Dispersion Measure in the CAMELS Simulations Qi Guo,1 and Khee-Gan Lee1,2 1Kavli IPMU (WPI), UTIAS, The University of Tokyo, Kashiwa, Chiba 277-8583, Japan 2Center for Data-Driven...
Journal Article
Automated krill body length estimation based on stereo camera images
ICES Journal of Marine Science, Volume 82, Issue 5, May 2025, fsaf058, https://doi.org/10.1093/icesjms/fsaf058
Published: 02 May 2025
... system. This system collects images that are automatically processed by a custom-trained machine learning model. The results from the machine learning model are then compared to manually measured krill subsampled from the total catch of the corresponding trawl hauls. We demonstrated the ability...
Journal Article
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Predicting cognitive function three months after surgery in patients with a glioma
Neuro-Oncology Advances, vdaf081, https://doi.org/10.1093/noajnl/vdaf081
Published: 02 May 2025
... for 317 patients with a glioma across eight cognitive tests. Nine multivariate Bayesian regression models were used following a machine-learning approach while employing pre-operative neuropsychological test scores and a comprehensive set of clinical predictors obtainable before surgery. Model...
Journal Article
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Dirac-equation signal processing: Physics boosts topological machine learning
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PNAS Nexus
PNAS Nexus, pgaf139, https://doi.org/10.1093/pnasnexus/pgaf139
Published: 02 May 2025
... are variables or features associated with both nodes and edges of a network. Recently, in the context of Topological Machine Learning, great attention has been devoted to signal processing of such topological signals. Most of the previous topological signal processing algorithms treat node and edge signals...
Journal Article
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Xenobiotics mediated modulation of gut microbiota and its role in life-style diseases: a critical appraisal on exposomics
Letters in Applied Microbiology, ovaf067, https://doi.org/10.1093/lambio/ovaf067
Published: 01 May 2025
... in vitro, in vivo, and multi-omics studies. It also suggests the need of machine learning (ML) approaches to decode the complex host-microbiota-xenobiotics interactions. The knowledge will aid in comprehending recent rise in chronic lifestyle-diseases which poses a huge burden on the health sector...
Journal Article
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Investigating heterogeneous effects of an expanded methadone access policy with opioid treatment program retention: A Rhode Island population-based retrospective cohort study Get access
American Journal of Epidemiology, kwaf092, https://doi.org/10.1093/aje/kwaf092
Published: 01 May 2025
... to OTPs between March 18 and June 30 of 2019 (pre-policy) and 2020 (post-policy). We used logistic regression to estimate associations with retention before and after the policy and used a machine learning approach, the Heterogeneous Treatment Effect (HTE)-Scan, to explore heterogeneity in retention...
Journal Article
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Decoding Coronary Physiology: Towards Standardized Interpretation Through Machine Learning
European Heart Journal - Digital Health, ztaf045, https://doi.org/10.1093/ehjdh/ztaf045
Published: 30 April 2025
.../licenses/by/4.0/ ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. angiography-derived physiology coronary artery disease machine learning physiological pattern classification quantitative flow ratio ACCEPTED MANUSCRIPT 1...
Journal Article
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At-home wearables and machine learning capture motor impairment and progression in adult ataxias Get access
in
Brain
Brain, awaf154, https://doi.org/10.1093/brain/awaf154
Published: 30 April 2025
... sclerosis (ALS) and ataxia telangiectasia (A-T). Remotely collected cross-sectional (n = 76) and longitudinal data (n = 27) were analyzed from individuals with ataxia (SCAs 1, 2, 3, and 6, MSA-C) and controls. Machine learning models were trained to produce composite outcome measures...
Journal Article
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Optimisation of Well Trajectory with Machine Learning Algorithms for Geosteering Directional Drilling
Journal of Geophysics and Engineering, gxaf055, https://doi.org/10.1093/jge/gxaf055
Published: 30 April 2025
... precise planning and strategic decision-making. This study introduces a comprehensive real-time drilling solution that combines well trajectory planning, drilling simulation with Rotary Steerable System (RSS) technology, and machine learning (ML) models for enhanced steering decisions. The Grey Wolf...
Journal Article
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UNISOM: Unified Somatic Calling and Machine Learning-based Classification Enhance the Discovery of CHIP
Genomics, Proteomics & Bioinformatics, qzaf040, https://doi.org/10.1093/gpbjnl/qzaf040
Published: 29 April 2025
... sequencing data that are underpowered, especially for low VAFs. UNISOM utilizes a meta-caller for variant detection, in couple with machine learning models which classify variants into CHIP, germline, and artifact. In whole-exome data, UNISOM recovered nearly 80% of the CHIP mutations identified via deep...
Journal Article
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Machine learning models reveal Saccharomyces yeasts are associated with poor piglet growth in early development Get access
Journal of Animal Science, skaf133, https://doi.org/10.1093/jas/skaf133
Published: 29 April 2025
... poor-growers at D14 (n=27), 29 from good-growers at D21 (n=29), and 28 from poor-growers at D21 (n=28). Machine learning algorithms and differential abundance analyses were applied to identify fungi associated with both growth categories. At D14, Saccharomycetes yeasts are moderately predictive of poor...
Journal Article
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Development and External Validation of a Prediction Model for Prolonged ICU Stay in Heart Failure Patients Get access
European Journal of Cardiovascular Nursing, zvaf075, https://doi.org/10.1093/eurjcn/zvaf075
Published: 28 April 2025
... failure patients from 208 hospitals across the United States. The primary outcome was prolonged ICU stay in heart failure patients. Feature selection was performed using Least Absolute Shrinkage and Selection Operator, univariate, and multivariate logistic regression. Nine machine learning algorithms were...
Journal Article
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Towards proactively improving sleep: machine learning and wearable device data forecast sleep efficiency 4-8 hours before sleep onset Get access
in
Sleep
Sleep, zsaf113, https://doi.org/10.1093/sleep/zsaf113
Published: 28 April 2025
... duration, efficiency, onset timing, and offset timing over the preceding four days was associated with lower sleep efficiency. Our study represents a first step towards wearable-based machine learning systems that proactively prevent poor sleep by demonstrating that sleep efficiency can be accurately...
