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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.
BMC psychiatry
Aug 4, 2025
BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approac...
Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas.
Cancer imaging : the official publication of the International Cancer Imaging Society
Aug 4, 2025
PURPOSE: Accurate preoperative grading of gliomas is critical for therapeutic planning and prognostic evaluation. We developed a noninvasive machine learning model leveraging whole-brain resting-state functional magnetic resonance imaging (rs-fMRI) b...
Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.
Journal of neuroengineering and rehabilitation
Aug 4, 2025
BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges in enhancing strength and mov...
Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines.
BMC medical imaging
Aug 4, 2025
BACKGROUND: As an important branch of machine learning pipelines in medical imaging, radiomics faces two major challenges namely reproducibility and accessibility. In this work, we introduce open-radiomics, a set of radiomics datasets along with a co...
Unsupervised machine learning approach to interpret complex lower urinary tract symptoms and their impact on quality of life in adult women.
World journal of urology
Aug 4, 2025
PURPOSE: To identify clinically meaningful clusters of lower urinary tract symptoms (LUTS) in adult women using an unsupervised machine learning approach and to examine their associations with patient-centered outcomes, including quality of life (QoL...
Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features.
BMC medical imaging
Aug 4, 2025
BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), with a smaller proportion (7%) being pheochromocytomas(PHEO). Adenomas are typically non-functional tumors managed through observation or medication, wit...
Facilitators and barriers for using artificial intelligence in cancer pain assessment: a qualitative study.
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Aug 4, 2025
OBJECTIVES: This study qualitatively explored healthcare providers' perception regarding the use of modern technology, specifically artificial intelligence (AI), in the assessment and management of cancer pain. It also aimed to identify barriers to a...
A multimodal dataset for precision oncology in head and neck cancer.
Nature communications
Aug 4, 2025
Head and neck cancer is a common disease and is associated with a poor prognosis. A promising approach to improving patient outcomes is personalized treatment, which uses information from a variety of modalities. However, only little progress has bee...
Classification of patients with relapsed/refractory large B-cell lymphoma who do not develop early CRS/NE toxicity using ZUMA clinical trial data.
Journal for immunotherapy of cancer
Aug 4, 2025
BACKGROUND: We aimed to develop an actionable and feasible prospective clinical model to estimate toxicity risk to assist chimeric antigen receptor (CAR) T-cell therapy providers with the management of patients with relapsed and/or refractory large B...
Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer.
Annals of medicine
Aug 3, 2025
BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insufficient data and lack interpretability. Additionally, there is a notable absence of reports from China in this field. This study is also the first to i...
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