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Machine_learning

Myo-Guide: A Machine Learning-Based Web Application for Neuromuscular Disease Diagnosis With MRI.

Neuromuscular diseases (NMDs) are rare disorders characterized by progressive muscle fibre loss, leading to replacement by fibrotic and fatty tissue, muscle weakness and disability. Early diagnosis is critical for therapeutic decisions, care planning and genetic counselling. Muscle magnetic resonance imaging...
๐Ÿ—“๏ธ 2025-06-01
๐Ÿ“ฐ Publication: Journal Of Cachexia Sarcopenia And Muscle
Read MoreMyo-Guide: A Machine Learning-Based Web Application for Neuromuscular Disease Diagnosis With MRI.

Predicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.

Hospital falls are the most prevalent and fatal event in healthcare, posing significant risks to patient health outcomes and institutional care quality. Real-time location system (RTLS) enables continuous tracking of patient location, providing a unique opportunity to monitor changes in...
๐Ÿ—“๏ธ 2025-02-01
๐Ÿ“ฐ Publication: Journal Of Cachexia Sarcopenia And Muscle
Read MorePredicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.

Corrigendum to "Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge" Am J Clin Nutr 116 (2022) 1229-1239.

๐Ÿ—“๏ธ 2025-02-12
๐Ÿ“ฐ Publication: American Journal Of Clinical Nutrition
Read MoreCorrigendum to "Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge" Am J Clin Nutr 116 (2022) 1229-1239.

Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.

Cachexia is associated with multiple adverse outcomes in cancer. However, clinical decision-making for oncology patients at the cachexia stage presents significant challenges. This study aims to develop a machine learning (ML) model to identify potentially reversible cancer cachexia (PRCC). This...
๐Ÿ—“๏ธ 2025-01-08
๐Ÿ“ฐ Publication: American Journal Of Clinical Nutrition
Read MoreEarly identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.

A fluorescent aptasensor for deoxynivalenol detection based on Nb.BbvCI-assisted targeted-responsive three-way junctions integrated DNA walking machine.

Deoxynivalenol (DON) contamination in cereals is a widespread issue with global implications, necessitating the development of efficient detection methods. Here, a fluorescent aptasensor integrating target-responsive DNA three-way junction (TWJ) and DNA walking machine was developed to detect DON. The DON-specific...
๐Ÿ—“๏ธ 2024-12-06
๐Ÿ“ฐ Publication: Food Chemistry
Read MoreA fluorescent aptasensor for deoxynivalenol detection based on Nb.BbvCI-assisted targeted-responsive three-way junctions integrated DNA walking machine.

Feature Engineering for the Prediction of Scoliosis in 5q-Spinal Muscular Atrophy.

5q-Spinal muscular atrophy (SMA) is now one of the 5% treatable rare diseases worldwide. As disease-modifying therapies alter disease progression and patient phenotypes, paediatricians and consulting disciplines face new unknowns in their treatment decisions. Conclusions made from historical patient data...
๐Ÿ—“๏ธ 2024-12-05
๐Ÿ“ฐ Publication: Journal Of Cachexia Sarcopenia And Muscle
Read MoreFeature Engineering for the Prediction of Scoliosis in 5q-Spinal Muscular Atrophy.

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