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Prediction model for drug response of acute myeloid leukemia patients
Despite some encouraging successes, predicting the therapy response of acute myeloid leukemia (AML) patients remains highly challenging due to tumor...
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Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review
The aim of the presented review is to summarize the literature data on the accuracy and clinical applicability of artificial intelligence (AI) models...
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Prediction model for treatment response of primary membranous nephropathy with nephrotic syndrome
ObjectiveTo investigate the predictors and establish a nomogram model for the prediction of the response to treatment in primary membranous...
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AI-assisted prediction of differential response to antidepressant classes using electronic health records
Antidepressant selection is largely a trial-and-error process. We used electronic health record (EHR) data and artificial intelligence (AI) to...
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Immune micro-environment analysis and establishment of response prediction model for PD-1 blockade immunotherapy in glioblastoma based on transcriptome deconvolution
PurposeOnly a small proportion of patients obtain survival benefit from PD-1 blockade immunotherapy due to the highly heterogeneous and suppressed...
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Prediction of response to promising first-line chemotherapy in ovarian cancer patients with residual peritoneal tumors: practical biomarkers and robust multiplex models
BackgroundPlatinum/taxane (TC) chemotherapy with debulking surgery stays the mainstay of the treatment in ovarian cancer patients with peritoneal...
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Prediction of TKI response in EGFR-mutant lung cancer patients-derived organoids using malignant pleural effusion
Patient-derived organoids (PDOs) are valuable in predicting response to cancer therapy. PDOs are ideal models for precision oncologists. However,...
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An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study
The classification of extramural vascular invasion status using baseline magnetic resonance imaging in rectal cancer has gained significant attention...
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Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases
ObjectivesThe first treatment strategy for brain metastases (BM) plays a pivotal role in the prognosis of patients. Among all strategies,...
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A CAR-T response prediction model for r/r B-NHL patients based on a T cell subset nomogram
BackgroundChimeric antigen receptor (CAR) T cells for refractory or relapsed (r/r) B cell no-Hodgkin lymphoma (NHL) patients have shown promising...
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Emerging glyco-risk prediction model to forecast response to immune checkpoint inhibitors in colorectal cancer
BackgroundAberrant glycosylation is one of the most common post-translational modifications leading to heterogeneity in colorectal cancer (CRC). This...
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CT-based radiomics prediction of complete response after stereotactic body radiation therapy for patients with lung metastases
PurposeStereotactic body radiotherapy (SBRT) is a key treatment modality for lung cancer patients. This study aims to develop a machine...
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Prediction model of no-response before the first transarterial chemoembolization for hepatocellular carcinoma: TACF score
Previous clinic models for patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE) mainly focused on the...
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Prediction of locally advanced rectal cancer response to neoadjuvant chemoradiation therapy using volumetric multiparametric MRI-based radiomics
PurposeTo assess the role of pretreatment multiparametric (mp)MRI-based radiomic features in predicting pathologic complete response (pCR) of locally...
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Systemic Inflammation Response Index and Systemic Immune-inflammation Index for Prediction of Pregnancy Loss: a Case–control Study
The systemic inflammation response index (SIRI) and systemic immune inflammation index (SII) have recently been investigated as new prognostic...
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Histopathology images-based deep learning prediction of prognosis and therapeutic response in small cell lung cancer
Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer characterized by rapid tumor growth and early metastasis. Accurate...
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Baseline [18F]FDG PET/CT and MRI first-order breast tumor features do not improve pathological complete response prediction to neoadjuvant chemotherapy
PurposeTo verify the ability of pretreatment [ 18 F]FDG PET/CT and T1-weighed dynamic contrast-enhanced MRI to predict pathological complete response...
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Assessment of treatment response to dendritic cell vaccine in patients with glioblastoma using a multiparametric MRI-based prediction model
PurposeAutologous tumor lysate-loaded dendritic cell vaccine (DCVax-L) is a promising treatment modality for glioblastomas. The purpose of this study...
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Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia: randomized trials and multiomics analysis
BackgroundChoosing the appropriate antipsychotic drug (APD) treatment for patients with schizophrenia (SCZ) can be challenging, as the treatment...
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Pediatric diffuse intrinsic pontine glioma radiotherapy response prediction: MRI morphology and T2 intensity-based quantitative analyses
ObjectivesAn easy-to-implement MRI model for predicting partial response (PR) postradiotherapy for diffuse intrinsic pontine glioma (DIPG) is...
