AIMC Topic: Machine Learning

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A predictive quality assurance model for patient-specific gamma passing rate of hyperarc-based stereotactic radiotherapy and radiosurgery of brain metastases.

Journal of applied clinical medical physics Sep 1, 2025
OBJECTIVE: Measurement-based patient specific quality assurance (PSQA) is an increasingly debated topic among medical physicists. Developments like online adaptive radiotherapy and same-day stereotactic treatments limit the time to do measurement-bas...
Brain Neoplasms Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Humans Radiotherapy Dosage Gamma Rays Neural Networks, Computer Radiotherapy, Intensity-Modulated Machine Learning Radiosurgery
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Current progress of digital twin construction using medical imaging.

Journal of applied clinical medical physics Sep 1, 2025
Medical imaging is fundamental to digital twin technology, enabling patient-specific virtual models of anatomy and physiology. By integrating high-resolution modalities (Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission To...
Diagnostic Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning Precision Medicine
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T-cell receptor insights: Determinants of Major Histocompatibility Complex class I versus class II recognition.

Protein science : a publication of the Protein Society Sep 1, 2025
In this study, we analyzed large-scale T-cell receptor (TCR) sequence data to determine whether TCRs preferentially bind to major histocompatibility complex (MHC) class I (CD8+) or class II (CD4+) epitopes. Using the International ImMunoGeneTics info...
Receptors, Antigen, T-Cell Histocompatibility Antigens Class I Histocompatibility Antigens Class II Humans Machine Learning
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Unambiguous assignment of kinked-β sheets leads to insights into molecular grammar of reversibility in biomolecular condensates.

Protein science : a publication of the Protein Society Sep 1, 2025
Kinked- sheets are short peptide motifs that appear as distortions in strands and often mediate formation of reversible amyloid fibrils in prion-like proteins. Standard methods for assigning secondary structures cannot distinguish these esoteric mo...
Amyloid Protein Conformation, beta-Strand Machine Learning Models, Molecular Biomolecular Condensates
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Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study.

Radiology. Imaging cancer Sep 1, 2025
Purpose To develop and prospectively validate a clinical and radiologic model to predict clinically significant prostate cancer (csPCa) using biparametric MRI (bpMRI). Materials and Methods Retrospective data (acquired before March 31, 2022) from 12 ...
Sensitivity and Specificity Prospective Studies Prostate Male Magnetic Resonance Imaging Retrospective Studies Middle Aged Humans Prostatic Neoplasms Aged Machine Learning
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Alternations of Gut Microbiome and Serum Metabolome With Prolongation of the Course of Type 1 Diabetes Mellitus.

Diabetes/metabolism research and reviews Sep 1, 2025
AIMS: We aimed to explore the gut microbial and serum metabolic disturbances associated with the course of type 1 diabetes mellitus (T1DM), and identify potential biomarkers for discriminating T1DM from normoglycemia individuals by machine learning.
RNA, Ribosomal, 16S Metabolomics Metabolome Male Middle Aged Disease Progression Gastrointestinal Microbiome Follow-Up Studies Female Case-Control Studies Humans Young Adult Diabetes Mellitus, Type 1 Adult Machine Learning Biomarkers Prognosis
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Development of AI Based Fibrosis Detection Algorithm by SHG/TPEF Microscopy for Fully Quantified Liver Fibrosis Assessment in MASH.

Liver international : official journal of the International Association for the Study of the Liver Sep 1, 2025
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major global cause of chronic liver disease, with the potential to progress from steatosis to metabolic dysfunction-associated steatohepatitis (MASH) and cirrh...
Humans Artificial Intelligence Machine Learning Liver Biopsy Collagen Microscopy, Fluorescence, Multiphoton Algorithms Fatty Liver Liver Cirrhosis Second Harmonic Generation Microscopy Detection Algorithms
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Comparison of Tree-Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post-Thaw Spermatological Parameters.

Veterinary medicine and science Sep 1, 2025
Reproductive efficiency is a crucial determinant of livestock productivity, with sperm quality being a key factor in successful fertilization. The quantitative assessment of spermatozoa using computer-assisted sperm analysis (CASA) yields valuable ki...
Cattle Cryopreservation Semen Analysis Algorithms Breeding Animals Spermatozoa Machine Learning Male Semen Preservation
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Multi-omics identification of circulating protein biomarkers for intervertebral disc degeneration using Mendelian randomization and scRNA-seq.

Clinical rheumatology Sep 1, 2025
BACKGROUND: Intervertebral disc degeneration (IVDD) is a primary cause of chronic low back pain, significantly impacting quality of life and healthcare systems globally. Despite its prevalence, the molecular mechanisms underlying IVDD remain unclear,...
Humans Female Multiomics Machine Learning Adult Mendelian Randomization Analysis Biomarkers Middle Aged Male Intervertebral Disc Degeneration RNA-Seq Single-Cell Gene Expression Analysis
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Machine Learning-Based Flap Takeback Prediction Modeling: Theory for a Real-Time, Patient-Specific Postoperative Flap Monitoring and Alert System.

Microsurgery Sep 1, 2025
BACKGROUND: Postoperative free flap monitoring is crucial yet taxing, requiring frequent and often subjective assessments to detect early signs of compromise. The present study aims to develop a machine learning model to predict the risk of flap take...
Aged Adult Male Machine Learning Retrospective Studies Female Monitoring, Physiologic Plastic Surgery Procedures Reoperation Free Tissue Flaps Middle Aged Risk Assessment Postoperative Complications Humans
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