Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Y Meng, Y Yang, M Hu, Z Zhang, X Zhou - Seminars in Cancer Biology, 2023 - Elsevier
Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …
predicting variables of clinical interest. Recent research has demonstrated that radiomics …
[HTML][HTML] Should autologous hematopoietic stem cell transplantation be offered as a first-line disease modifying therapy to patients with multiple sclerosis?
A Mariottini, PA Muraro, R Saccardi - Multiple Sclerosis and Related …, 2023 - Elsevier
In multiple sclerosis (MS), progression independent of new focal inflammation may
commence shortly after disease onset, and it is increasingly revealed that the risk of …
commence shortly after disease onset, and it is increasingly revealed that the risk of …
Proteome‐wide profiling reveals dysregulated molecular features and accelerated aging in osteoporosis: A 9.8‐year prospective study
J Xu, X Cai, Z Miao, Y Yan, D Chen, Z Yang, L Yue… - Aging cell, 2024 - Wiley Online Library
The role of circulatory proteomics in osteoporosis is unclear. Proteome‐wide profiling holds
the potential to offer mechanistic insights into osteoporosis. Serum proteome with 413 …
the potential to offer mechanistic insights into osteoporosis. Serum proteome with 413 …
Prediction of IDH mutation status of glioma based on terahertz spectral data
Z Sun, X Wu, R Tao, T Zhang, X Liu, J Wang… - … Acta Part A: Molecular …, 2023 - Elsevier
Gliomas are the most common type of primary tumor in the central nervous system in adults.
Isocitrate dehydrogenase (IDH) mutation status is an important molecular biomarker for adult …
Isocitrate dehydrogenase (IDH) mutation status is an important molecular biomarker for adult …
Early neurofilament light and glial fibrillary acidic protein levels improve predictive models of multiple sclerosis outcomes
Background Early risk-stratification in multiple sclerosis (MS) may impact treatment
decisions. Current predictive models have identified that clinical and imaging characteristics …
decisions. Current predictive models have identified that clinical and imaging characteristics …
Diffusion tensor imaging metrics associated with future disability in multiple sclerosis
E Lopez-Soley, E Martinez-Heras, E Solana… - Scientific reports, 2023 - nature.com
The relationship between brain diffusion microstructural changes and disability in multiple
sclerosis (MS) remains poorly understood. We aimed to explore the predictive value of …
sclerosis (MS) remains poorly understood. We aimed to explore the predictive value of …
Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension
J Zeng, R Zhang, T Zhao, H Wang, L Han, L Pu… - Metabolomics, 2024 - Springer
Introduction The burden of stroke in patients with hypertension is very high, and its
prediction is critical. Objectives We aimed to use plasma lipidomics profiling to identify lipid …
prediction is critical. Objectives We aimed to use plasma lipidomics profiling to identify lipid …
A two-phase approach for leak detection and localization in water distribution systems using wavelet decomposition and machine learning
Water is a crucial resource for all forms of life, yet it is becoming increasingly scarce. A
significant portion of water loss in urban and industrial areas is attributed to leaks …
significant portion of water loss in urban and industrial areas is attributed to leaks …
Association between serum multi-protein biomarker profile and real-world disability in multiple sclerosis
W Zhu, C Chen, L Zhang, T Hoyt, E Walker… - Brain …, 2024 - academic.oup.com
Few studies examined blood biomarkers informative of patient-reported outcome (PRO) of
disability in people with multiple sclerosis (MS). We examined the associations between …
disability in people with multiple sclerosis (MS). We examined the associations between …
Data mining and machine learning in HIV infection risk research: An overview and recommendations
Q Ge, X Lu, R Jiang, Y Zhang, X Zhuang - Artificial Intelligence in Medicine, 2024 - Elsevier
In the contemporary era, the applications of data mining and machine learning have
permeated extensively into medical research, significantly contributing to areas such as HIV …
permeated extensively into medical research, significantly contributing to areas such as HIV …