AIMC Topic: Machine Learning

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Protein functional site annotation using local structure embeddings.

Proceedings of the National Academy of Sciences of the United States of America Aug 20, 2025
The rapid expansion of protein sequence and structure databases has resulted in a significant number of proteins with ambiguous or unknown function. While advances in machine learning techniques hold great potential to fill this annotation gap, curre...
Databases, Protein Catalytic Domain Protein Conformation Molecular Sequence Annotation Machine Learning Computational Biology Proteins
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Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma.

BMC cancer Aug 20, 2025
BACKGROUND: Renal cell carcinoma (RCC) is a prevalent malignancy with highly variable outcomes. MicroRNA-15a (miR-15a) has emerged as a promising prognostic biomarker in RCC, linked to angiogenesis, apoptosis, and proliferation. Radiogenomics integra...
Aged MicroRNAs Adult Gene Expression Regulation, Neoplastic Kidney Neoplasms Retrospective Studies Humans Male Biomarkers, Tumor Magnetic Resonance Imaging Carcinoma, Renal Cell Tomography, X-Ray Computed Middle Aged Machine Learning Female Prognosis
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Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025
The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog...
Arousal Humans Machine Learning Female Young Adult Emotions Attention Memory, Short-Term Adult Pupil Male Cognition
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Evaluating forecasting models for health service demand during the COVID-19 pandemic.

Scientific reports Aug 20, 2025
We combine daily internet search data and monthly information on medical expenditures for anti-depressants to test two distinct hypotheses in eight Australian states, covering the period from 2020 to 2022. First, whether using daily search data can h...
SARS-CoV-2 Australia Health Services Needs and Demand Pandemics COVID-19 Forecasting Humans Machine Learning
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A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty.

Journal of orthopaedic surgery and research Aug 20, 2025
BACKGROUND: Identifying patients unlikely to achieve meaningful improvement following total knee arthroplasty (TKA) supports more effective shared decision-making (SDM). This study aimed to develop and validate machine learning (ML) models that preop...
Retrospective Studies Preoperative Period Female Osteoarthritis, Knee Treatment Outcome Aged Range of Motion, Articular Humans Predictive Value of Tests Minimal Clinically Important Difference Male Machine Learning Arthroplasty, Replacement, Knee Middle Aged
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Stacking ensemble learning models diagnose pulmonary infections using host transcriptome data from metatranscriptomics.

Scientific reports Aug 20, 2025
The prompt diagnosis of pulmonary infections with unknown etiology in patients in severe condition remains a challenge due to the lack of rapid and effective diagnostic methods. While metatranscriptomic sequencing offers a powerful approach, its clin...
Respiratory Tract Infections Bronchoalveolar Lavage Fluid Ensemble Learning Middle Aged Gene Expression Profiling Transcriptome Female Male Humans Machine Learning
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A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ...
Hepatitis Male Middle Aged Support Vector Machine Humans Neural Networks, Computer Machine Learning Aged Adult Algorithms Female
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The role of phytoplankton in structuring global oceanic dissolved organic carbon pools.

Nature communications Aug 20, 2025
Phytoplankton-derived dissolved organic carbon (DOC) is a major pathway for atmospheric CO transfer to long-lived oceanic DOC reservoirs. Yet, current models rarely accounted for its molecular and taxonomic heterogeneity across growth seasons. Here, ...
Machine Learning Carbon Seasons Chlorophyll A Oceans and Seas Phytoplankton Seawater Diatoms
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Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis.

Translational psychiatry Aug 20, 2025
Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early ident...
Humans Machine Learning Bullying Adolescent Child Adolescent Behavior Attention Deficit Disorder with Hyperactivity Loneliness Self-Injurious Behavior Entropy Female Risk Assessment Risk Factors China Anxiety Male Depression
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Nanopore sequencing of intact aminoacylated tRNAs.

Nature communications Aug 20, 2025
The intricate landscape of tRNA modification presents persistent analytical challenges, which have impeded efforts to simultaneously resolve sequence, modification, and aminoacylation state at the level of individual tRNAs. To address these challenge...
Amino Acids RNA, Transfer Nanopore Sequencing Transfer RNA Aminoacylation Machine Learning Sequence Analysis, RNA
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