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Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer
BackgroundPathological complete response (pCR) is associated with favorable prognosis in patients with triple-negative breast cancer (TNBC). However,...
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Strategies for improving the performance of prediction models for response to immune checkpoint blockade therapy in cancer
Immune checkpoint blockade (ICB) therapy holds promise for bringing long-lasting clinical gains for the treatment of cancer. However, studies show...
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Attention mechanism based multi-sequence MRI fusion improves prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
BackgroundAccurate prediction of response to neoadjuvant chemoradiotherapy (nCRT) is very important for treatment plan decision in locally advanced...
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Multiphase and multiparameter MRI-based radiomics for prediction of tumor response to neoadjuvant therapy in locally advanced rectal cancer
BackgroundTo develop and validate radiomics models for prediction of tumor response to neoadjuvant therapy (NAT) in patients with locally advanced...
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Potential non-invasive biomarkers in tumor immune checkpoint inhibitor therapy: response and prognosis prediction
Immune checkpoint inhibitors (ICIs) have dramatically enhanced the treatment outcomes for diverse malignancies. Yet, only 15–60% of patients respond...
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Prediction of response to neoadjuvant chemo-immunotherapy in patients with esophageal squamous cell carcinoma by a rapid breath test
BackgroundNeoadjuvant chemo-immunotherapy combination has shown remarkable advances in the management of esophageal squamous cell carcinoma (ESCC)....
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Do genetics contribute to TNF inhibitor response prediction in Psoriatic Arthritis?
Psoriatic arthritis (PsA) is a heterogeneous chronic musculoskeletal disease, affecting up to 30% of people with psoriasis. Research into PsA...
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Pan-cancer analysis implicates novel insights of lactate metabolism into immunotherapy response prediction and survival prognostication
BackgroundImmunotherapy has emerged as a potent clinical approach for cancer treatment, but only subsets of cancer patients can benefit from it....
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A transcriptomic pan-cancer signature for survival prognostication and prediction of immunotherapy response based on endothelial senescence
BackgroundThe microvascular endothelium inherently controls nutrient delivery, oxygen supply, and immune surveillance of malignant tumors, thus...
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Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease
BackgroundRadiomics analysis of orbital magnetic resonance imaging (MRI) shows preliminary potential for intravenous glucocorticoid (IVGC) response...
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A novel biomarker associated with EBV infection improves response prediction of immunotherapy in gastric cancer
BackgroundNovel biomarkers are required in gastric cancer (GC) treated by immunotherapy. Epstein-Barr virus (EBV) infection induces an immune-active...
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Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity
BackgroundEarly prediction of pathological complete response (pCR) is important for deciding appropriate treatment strategies for patients. In this...
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Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound
ObjectivesTo explore an optimal model to predict the response of patients with axillary lymph node (ALN) positive breast cancer to neoadjuvant...
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Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer
Tumor-infiltrating lymphocytes (TILs) have been recognized as key players in the tumor microenvironment of breast cancer, but substantial...
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An integrated framework for prognosis prediction and drug response modeling in colorectal liver metastasis drug discovery
BackgroundColorectal cancer (CRC) is the third most prevalent cancer globally, and liver metastasis (CRLM) is the primary cause of death. Hence, it...
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Distinct tumor microenvironment landscapes of rectal cancer for prognosis and prediction of immunotherapy response
PurposeTumor microenvironment (TME) affects the progression of rectal cancer (RC), and the clinical relevance of its immune elements was widely...
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Prediction of long-term humoral response induced by the two-dose heterologous Ad26.ZEBOV, MVA-BN-Filo vaccine against Ebola
The persistence of the long-term immune response induced by the heterologous Ad26.ZEBOV, MVA-BN-Filo two-dose vaccination regimen against Ebola has...
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Risk model and factors for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer-a two-center cohort study
ObjectiveDue to inconsistency in neoadjuvant chemotherapy (NACT) response in advanced gastric cancer (GC), the indications remain the source of...
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Prediction of SBRT response in liver cancer by combining original and delta cone-beam CT radiomics: a pilot study
This study aims to explore the feasibility of utilizing a combination of original and delta cone-beam CT (CBCT) radiomics for predicting treatment...
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Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer
IntroductionImproving the early prediction of neoadjuvant chemotherapy (NAC) efficacy in breast cancer can lead to an improved prediction of the...
