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A novel model for predicting prognosis and response to immunotherapy in nasopharyngeal carcinoma patients
Blood-based biomarkers of immune checkpoint inhibitors (ICIs) response in patients with nasopharyngeal carcinoma (NPC) are lacking, so it is...
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A novel endoplasmic reticulum stress-related lncRNA signature for prognosis prediction and immune response evaluation in Stomach adenocarcinoma
backgroundStomach adenocarcinoma (STAD) is a significant contributor to cancer-related mortality worldwide. Although previous research has identified...
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Personalized mood prediction from patterns of behavior collected with smartphones
Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from...
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Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer
BackgroundThe aim of this study was to develop a machine learning (ML) based model to accurately predict pathologic complete response (pCR) to...
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Multimodal workflows optimally predict response to repetitive transcranial magnetic stimulation in patients with schizophrenia: a multisite machine learning analysis
The response variability to repetitive transcranial magnetic stimulation (rTMS) challenges the effective use of this treatment option in patients...
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Machine learning identifies the independent role of dysplasia in the prediction of response to chemotherapy in AML
The independent prognostic impact of specific dysplastic features in acute myeloid leukemia (AML) remains controversial and may vary between genomic...
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Unlocking the potential: T1-weighed MRI as a powerful predictor of levodopa response in Parkinson’s disease
BackgroundThe efficacy of levodopa, the most crucial metric for Parkinson’s disease diagnosis and treatment, is traditionally gauged through the...
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Identification of gene expression biomarkers to predict clinical response to methotrexate in patients with rheumatoid arthritis
ObjectivesTo identify biomarkers at the gene expression level to predict response to methotrexate (MTX) in patients with rheumatoid arthritis (RA).
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The prediction of the survival in patients with severe trauma during prehospital care: Analyses based on NTDB database
PurposeTraumas cause great casualties, accompanied by heavy economic burdens every year. The study aimed to use ML (machine learning) survival...
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Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI
PurposeVariable response to neoadjuvant chemoradiotherapy (nCRT) is observed among individuals with locally advanced rectal cancer (LARC), having a...
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Cancer drug sensitivity prediction from routine histology images
Drug sensitivity prediction models can aid in personalising cancer therapy, biomarker discovery, and drug design. Such models require survival data...
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Establishment of Prediction Model for Severe Hypertriglyceridemic Acute Pancreatitis Based on Early Laboratory Indicators
BackgroundCompared with other types of acute pancreatitis (AP), hypertriglyceridemic acute pancreatitis (HTG-AP) is younger, recurrent and more prone...
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Prediction of effective humoral response to SARS-CoV-2 vaccines in healthy subjects by cortical thickness of post-vaccination reactive lymphadenopathy
PurposeTo study the association between ultrasound cortical thickness in reactive post-vaccination lymph nodes and the elicited humoral response and...
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Progress of the application clinical prediction model in polycystic ovary syndrome
Clinical prediction models play an important role in the field of medicine. These can help predict the probability of an individual suffering from...
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Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram
ObjectivesTo implement a pipeline to automatically segment the ROI and to use a nomogram integrating the MRI-based radiomics score and clinical...
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Prediction models for amputation after diabetic foot: systematic review and critical appraisal
BackgroundNumerous studies have developed or validated prediction models aimed at estimating the likelihood of amputation in diabetic foot (DF)...
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Prediction of adolescent weight status by machine learning: a population-based study
BackgroundAdolescent weight problems have become a growing public health concern, making early prediction of non-normal weight status crucial for...
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Hematoma expansion prediction based on SMOTE and XGBoost algorithm
Hematoma expansion (HE) is a high risky symptom with high rate of occurrence for patients who have undergone spontaneous intracerebral hemorrhage...
