AIMC Topic: Disease Progression

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Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.

Scientific reports Nov 23, 2020
Differentiating pseudoprogression from true tumor progression has become a significant challenge in follow-up of diffuse infiltrating gliomas, particularly high grade, which leads to a potential treatment delay for patients with early glioma recurren...
Deep Learning ROC Curve Follow-Up Studies Area Under Curve Biopsy Feasibility Studies Adult Brain Neoplasms Male Middle Aged Disease Progression Neoplasm Recurrence, Local Data Accuracy Astrocytoma Oligodendroglioma Multiparametric Magnetic Resonance Imaging Humans Retrospective Studies Female Aged
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Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 18, 2020
PURPOSE: Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep learning on histology specimens with clinical data to predict ICI respon...
Humans Machine Learning Prospective Studies Prognosis Female Melanoma Risk Assessment Skin Neoplasms Disease Progression Aged ROC Curve Neoplasm Staging Adult Immune Checkpoint Inhibitors Skin Male Image Processing, Computer-Assisted Progression-Free Survival Follow-Up Studies Middle Aged Drug Resistance, Neoplasm
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Association of a Serum Protein Signature With Rheumatoid Arthritis Development.

Arthritis & rheumatology (Hoboken, N.J.) Nov 10, 2020
OBJECTIVE: The pathophysiologic events that precede the onset of rheumatoid arthritis (RA) remain incompletely understood. This study was undertaken to identify changes in the serum proteome that precede the onset of RA, with the aim of providing new...
Young Adult Adult Male Middle Aged Disease Progression Adolescent Rheumatoid Factor Arthritis, Rheumatoid Humans Asymptomatic Diseases Proteomics Machine Learning Lectins Indians, North American Tumor Necrosis Factor-alpha Calreticulin Longitudinal Studies Female Toll-Like Receptor 2 Anti-Citrullinated Protein Antibodies Aged Ficolins Interleukin-1
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Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions.

International journal of computer assisted radiology and surgery Nov 4, 2020
PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The early diagnosis and treatment are conducive to control disease progression, but currently, there is no effective screening method. The present study a...
Humans Artificial Intelligence Graves Ophthalmopathy Tomography, X-Ray Computed Disease Progression Orbit Nerve Net
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AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia.

Medical image analysis Oct 15, 2020
Coronavirus disease 2019 (COVID-19) emerged in 2019 and disseminated around the world rapidly. Computed tomography (CT) imaging has been proven to be an important tool for screening, disease quantification and staging. The latter is of extreme import...
Disease Progression Triage Radiographic Image Interpretation, Computer-Assisted Pneumonia, Viral Neural Networks, Computer Artificial Intelligence COVID-19 Biomarkers Prognosis SARS-CoV-2 Humans
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Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment.

Human brain mapping Oct 8, 2020
Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1-weig...
Humans Machine Learning Amygdala Brain Follow-Up Studies Amnesia Aged Prognosis Magnetic Resonance Imaging Male Retrospective Studies Self Report Middle Aged White Matter Female Neuropsychological Tests Disease Progression Diagnostic Self Evaluation Educational Status Cognitive Dysfunction
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Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 1, 2020
Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been considered for inclusion in the American Joint Committee on Cancer (AJCC) staging criteria. However, interobserver discordance continues to prevent the ado...
Neoplasm Staging Biopsy Neoplasm Recurrence, Local Progression-Free Survival Microscopy Image Interpretation, Computer-Assisted Lymphocyte Count Humans Middle Aged Machine Learning Risk Assessment Automation, Laboratory Disease Progression Risk Factors Databases, Factual Diagnosis, Computer-Assisted Aged Retrospective Studies Lymphocytes, Tumor-Infiltrating Adult Female Predictive Value of Tests Tumor Microenvironment Melanoma Male Skin Neoplasms Reproducibility of Results
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Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.

Proceedings of the National Academy of Sciences of the United States of America Sep 21, 2020
Many diseases have no visual cues in the early stages, eluding image-based detection. Today, osteoarthritis (OA) is detected after bone damage has occurred, at an irreversible stage of the disease. Currently no reliable method exists for OA detection...
Humans Cohort Studies Machine Learning Magnetic Resonance Imaging Female Early Diagnosis Male Osteoarthritis, Knee Disease Progression Cartilage, Articular
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.

Alzheimer's & dementia : the journal of the Alzheimer's Association Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
White Matter Machine Learning Neuropsychological Tests Disease Progression Biomarkers Aged, 80 and over Atrophy Humans Cognitive Dysfunction Brain Young Adult Cerebral Small Vessel Diseases Image Processing, Computer-Assisted Female Adult Magnetic Resonance Imaging Aged Male Amyloid beta-Peptides Aging Middle Aged
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Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.

Ophthalmology Sep 2, 2020
PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm a...
Macular Degeneration Life Style Retinal Drusen Genetics Humans Machine Learning Male Phenotype Middle Aged Clinical Decision-Making Disease Progression Female Genotype Risk Factors Models, Theoretical Aged Area Under Curve
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