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Predictive factors associated with pemetrexed acute toxicity
PurposePemetrexed has shown efficacy as monotherapy or in combination with platinum salts in the treatment of non-small cell lung cancer and...
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Treatment sequences and prognostic/predictive factors in metastatic pancreatic ductal adenocarcinoma: univariate and multivariate analyses of a real-world study in Europe
BackgroundReal-world data on treatment patterns/outcomes for metastatic pancreatic cancer (mPAC) are limited. This study aims to assess real-world...
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Neurological recovery rate and predictive factors of incomplete AIS grade C spinal cord injury in the older aged population
Study designRetrospective cohort study.
ObjectivesTo define the prognosis and predictive factors for neurological improvement in older patients with...
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Predictive Factors for Response and Resistance to Anti-PD-1 Immunotherapy in Melanoma
Immune checkpoints (IC) are very potent targets for immunotherapy. In physiological conditions, they play a protective role against autoimmunity and...
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Clarifying sleep characteristics and analyzing risk factors of sleep disorders to promote a predictive, preventive, and personalized medicine in patients with burn scars
PurposeThis study assessed sleep quality in patients with burn scars and investigated risk factors of sleep disorders to guide clinical therapy. From...
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Advances in AI and machine learning for predictive medicine
The field of omics, driven by advances in high-throughput sequencing, faces a data explosion. This abundance of data offers unprecedented...
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A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients
ObjectiveThis study investigated site-specific differences in clinical factors for recurrence in patients who were newly diagnosed and treated for...
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Predictive factors for focal disease in human brucellosis, an observational cohort study
This retrospective cohort study aimed to identify predictors for focal disease in human brucellosis. The study included patients with brucellosis...
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Predictive biomarkers for immune-related adverse events in cancer patients treated with immune-checkpoint inhibitors
PurposeThe objective of this study was to identify potential predictors of immune-related adverse events (irAEs) in cancer patients receiving immune...
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Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
Brain tissue deformation resulting from head impacts is primarily caused by rotation and can lead to traumatic brain injury. To quantify brain injury...
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Oligoprogressive castration-resistant prostate cancer treated with metastases-directed stereotactic body radiation therapy: predictive factors for patients’ selection
Oligoprogression is defined as limited metastatic clone resistant to on-going systemic treatment that grows in a background of stable or responding...
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Radiation pneumonia predictive model for radiotherapy in esophageal carcinoma patients
BackgroundThe machine learning models with dose factors and the deep learning models with dose distribution matrix have been used to building lung...
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Usefulness of a predictive model to hospitalize patients with low-risk community-acquired pneumonia
IntroductionA high proportion of patients with low-risk community-acquired pneumonia (CAP) (classes I-III of the Pneumonia Severity Index) are...
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Predictive and prognostic value of excision repair cross-complementing group 1 in patients with advanced gastric cancer
BackgroundTo define the optimal chemotherapy regimen for each patient we therefore used tissue from patients to identify molecular prognostic or...
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High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review
The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used...
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Predictive, preventive, and personalized medicine in breast cancer: targeting the PI3K pathway
Breast cancer (BC) is a multifaceted disease characterized by distinct molecular subtypes and varying responses to treatment. In BC, the...
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Enhanced predictive validity of integrative models for refractory hyperthyroidism considering baseline and early therapy characteristics: a prospective cohort study
BackgroundA subset of Graves’ disease (GD) patients develops refractory hyperthyroidism, posing challenges in treatment decisions. The predictive...
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Predictive biomarkers for anti-TNF alpha therapy in IBD patients
Inflammatory bowel disease (IBD) is a chronic gastrointestinal condition characterized by severe gut inflammation, commonly presenting as Crohn’s...
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Predictive modeling of ambulatory outcomes after spinal cord injury using machine learning
Study DesignRetrospective multi-site cohort study.
ObjectivesTo develop an accurate machine learning predictive model using predictor variables from...
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Graph Kernel Learning for Predictive Toxicity Models
Graph-driven techniques have been widely used in chemoinformatics and bioinformatics. It is of a great beneficial to develop toxicity prediction...