AIMC Topic: Young Adult
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Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma.
Academic radiology
Dec 27, 2023
RATIONALE AND OBJECTIVES: Neoadjuvant chemotherapy (NAC) is the most crucial prognostic factor for osteosarcoma (OS), it significantly prolongs progression-free survival and improves the quality of life. This study aims to develop a deep learning rad...
Humans
Retrospective Studies
Female
Osteosarcoma
Young Adult
Bone Neoplasms
Adult
Nomograms
Predictive Value of Tests
Sensitivity and Specificity
Treatment Outcome
Chemotherapy, Adjuvant
Radiomics
Neoadjuvant Therapy
Male
Contrast Media
Magnetic Resonance Imaging
Middle Aged
Deep Learning
Adolescent
Child
Anti-infliximab antibodies and low infliximab levels correlate with drug discontinuation in pediatric inflammatory bowel disease.
Journal of pediatric gastroenterology and nutrition
Dec 27, 2023
BACKGROUND: Infliximab (IFX) use is limited by loss of response often due to the development of anti-IFX antibodies and low drug levels.
Addressing diagnostic dilemmas in eosinophilic esophagitis using esophageal epithelial eosinophil-derived neurotoxin.
Journal of pediatric gastroenterology and nutrition
Dec 27, 2023
OBJECTIVES: Eosinophil-derived neurotoxin (EDN) is a viable marker of eosinophilic esophagitis (EoE) disease activity. We studied the utility of measuring EDN from esophageal epithelial brushings for diagnosing EoE, focusing on two scenarios: (1) cas...
Prediction of early-onset colorectal cancer mortality rates in the United States using machine learning.
Cancer medicine
Dec 27, 2023
INTRODUCTION: The current study, focusing on a significant US (United States) colorectal cancer (CRC) burden, employs machine learning for predicting future rates among young population.
Generative AI Backstories for Simulation Preparation.
Nurse educator
Dec 25, 2023
BACKGROUND: Developing engaging presimulation learning materials that provide contextualized patient information is needed to best prepare students for nursing simulation. One emerging strategy that can be used by educators to create visual images fo...
Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass.
European journal of clinical nutrition
Dec 23, 2023
Currently available anthropometric body composition prediction equations were often developed on small participant samples, included only several measured predictor variables, or were prepared using conventional statistical regression methods. Machin...
Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics.
International journal of legal medicine
Dec 22, 2023
Bone age assessment (BAA) is a crucial task in clinical, forensic, and athletic fields. Since traditional age estimation methods are suffered from potential radiation damage, this study aimed to develop and evaluate a deep learning radiomics method b...
Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.
European radiology
Dec 21, 2023
OBJECTIVES: To develop an ensemble multi-task deep learning (DL) framework for automatic and simultaneous detection, segmentation, and classification of primary bone tumors (PBTs) and bone infections based on multi-parametric MRI from multi-center.
Predicting treatment response using machine learning: A registered report.
The British journal of clinical psychology
Dec 18, 2023
OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively scr...
Robotic parathyroidectomy is a feasible technique for primary hyperparathyroidism.
Langenbeck's archives of surgery
Dec 16, 2023
PURPOSE: Focused parathyroidectomy is the gold standard treatment modality for primary hyperparathyroidism, which allows accurate preoperative localization. Robotic parathyroidectomy has emerged as a feasible procedure for focused parathyroidectomy. ...
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