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Joint analysis of PK and immunogenicity outcomes using factorization model − a powerful approach for PK similarity study
Biological products, whether they are innovator products or biosimilars, can incite an immunogenic response ensuing in the development of anti-drug...
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Unsupervised phenoty** of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements
BackgroundSepsis is a highly lethal and heterogeneous disease. Utilization of an unsupervised method may identify novel clinical phenotypes that lead...
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Common multi-day rhythms in smartphone behavior
The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy...
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A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disorders
The clinical burden of mental illness, in particular schizophrenia and bipolar disorder, are driven by frequent chronic courses and increased...
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Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
Posttraumatic stress disorder (PTSD) is associated with lower cortical thickness (CT) in prefrontal, cingulate, and insular cortices in diverse...
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Quality indices for topic model selection and evaluation: a literature review and case study
BackgroundTopic models are a class of unsupervised machine learning models, which facilitate summarization, browsing and retrieval from large...
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Quantification of subtype purity in Luminal A breast cancer predicts clinical characteristics and survival
PurposePAM50 profiling assigns each breast cancer to a single intrinsic subtype based on a bulk tissue sample. However, individual cancers may show...
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Early life factors and structural brain network in children with overweight/obesity: The ActiveBrains project
BackgroundThe aims of this study were to investigate the association of early life factors, including birth weight, birth length, and breastfeeding...
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Adolescent alcohol use is linked to disruptions in age-appropriate cortical thinning: an unsupervised machine learning approach
Cortical thickness changes dramatically during development and is associated with adolescent drinking. However, previous findings have been...
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Correlation of LLT-1 and NLRC4 inflammasome and its effect on glioblastoma prognosis
PurposeLLT-1 is a well-known ligand for the natural killer (NK) cell inhibitory receptor NKRP1A. Here, we examined NLRC4 inflammasome components and...
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Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data
BackgroundSingle-cell multiplex imaging data have provided new insights into disease subtypes and prognoses recently. However, quantitative models...
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Comprehensive analysis and prognostic assessment of senescence-associated genes in bladder cancer
BackgroundThe prevalence and mortality of bladder cancer (BLCA) present a significant medical challenge. While the function of senescence-related...
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Identification of potential tumor antigens and immune subtypes for lung adenocarcinoma
In lung adenocarcinoma (LUAD), tumor antigens and immune phenotypes are important for cancer immunotherapy. This study aims to identify potential...
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Adipose tissue composition determines its computed tomography radiodensity
ObjectivesAdipose tissue radiodensity in computed tomography (CT) performed before surgeries can predict surgical difficulty. Despite its clinical...
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Comprehensive analysis of necroptosis-related lncRNA signature with potential implications in tumor heterogeneity and prediction of prognosis in clear cell renal cell carcinoma
BackgroundNecroptosis has been reported to play a critical role in occurrence and progression of cancer. The dysregulation of long non-coding RNAs...
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A risk score model based on lipid metabolism-related genes could predict response to immunotherapy and prognosis of lung adenocarcinoma: a multi-dataset study and cytological validation
BackgroundLipid metabolism is a key factor in tumorigenesis and drug resistance, and models related to lipid metabolism have shown potential to...
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Identification an innovative classification and nomogram for predicting the prognosis of thyroid carcinoma patients and providing therapeutic schedules
BackgroundThyroid carcinoma (THCA) represents a prevalent form of cancer globally, with its incidence demonstrating an upward trend in recent years....
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Construction of cuproptosis signature based on bioinformatics and experimental validation in clear cell renal cell carcinoma
BackgroundCuproptosis was defined as a novel nonapoptotic cell death pathway and its potential function in clear cell renal cell carcinoma (ccRCC)...
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Spinal cord and brain atrophy patterns in neuromyelitis optica spectrum disorder and multiple sclerosis
BackgroundSpinal cord and brain atrophy are common in neuromyelitis optica spectrum disorder (NMOSD) and relapsing-remitting multiple sclerosis...
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Discovery of a T cell proliferation-associated regulator signature correlates with prognosis risk and immunotherapy response in bladder cancer
BackgroundThe efficacy of immunotherapy is heavily influenced by T cell activity. This study aimed to examine how T cell proliferation regulators can...
