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Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learning.

Journal of cellular and molecular medicine Sep 1, 2024
This retrospective transcriptomic study leveraged bioinformatics and machine learning algorithms to identify novel gene biomarkers and explore immune cell infiltration profiles associated with chronic obstructive pulmonary disease (COPD). Utilizing a...
Middle Aged Female Gene Expression Profiling Aged Transcriptome Pulmonary Disease, Chronic Obstructive Humans Computational Biology Male Machine Learning Biomarkers Killer Cells, Natural Retrospective Studies Chromogranins GTP-Binding Protein alpha Subunits, Gs Adenylyl Cyclases
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Development and validation of deep learning models for bowel obstruction on plain abdominal radiograph.

The Journal of international medical research Sep 1, 2024
OBJECTIVE: Artificial intelligence (AI) could help medical practitioners in analyzing radiological images to determine the presence and site of bowel obstruction. This retrospective diagnostic study proposed a series of deep learning (DL) models for ...
Male Middle Aged Deep Learning Intestinal Obstruction Radiography, Abdominal Retrospective Studies Female Aged Adult Humans
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Identification of fatty acid metabolism signature genes in patients with pulmonary arterial hypertension using WGCNA and machine learning.

The Journal of international medical research Sep 1, 2024
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with immune cells in pulmonary arterial hypertension (PAH).
Hypertension, Pulmonary Pulmonary Arterial Hypertension Female Gene Regulatory Networks Male Computational Biology Gene Expression Profiling Humans Databases, Genetic Transcriptome Fatty Acids Machine Learning ROC Curve Algorithms Retrospective Studies
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Hyperspectral imaging facilitating resect-and-discard strategy through artificial intelligence-assisted diagnosis of colorectal polyps: A pilot study.

Cancer medicine Sep 1, 2024
BACKGROUND AND AIMS: The resect-and-discard strategy for colorectal polyps based on accurate optical diagnosis remains challenges. Our aim was to investigate the feasibility of hyperspectral imaging (HSI) for identifying colorectal polyp properties a...
Prospective Studies Female Aged Adult Colorectal Neoplasms Male Middle Aged Colonoscopy Diagnosis, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Pilot Projects Feasibility Studies Colonic Polyps Hyperspectral Imaging
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The lost data: how AI systems censor LGBTQ+ content in the name of safety.

Nature computational science Sep 1, 2024
Safety Humans Artificial Intelligence Female Male Sexual and Gender Minorities
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Epidermal renewal during the treatment of atopic dermatitis lesions: A study coupling line-field confocal optical coherence tomography with artificial intelligence quantifications: LC-OCT reveals new biological markers of AD.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Sep 1, 2024
OBJECTIVE: This study explores the application of Line-field Confocal Optical Coherence Tomography (LC-OCT) imaging coupled with artificial intelligence (AI)-based algorithms to investigate atopic dermatitis (AD), a common inflammatory dermatosis.
Tomography, Optical Coherence Dermatitis, Atopic Epidermis Humans Artificial Intelligence Algorithms Biomarkers Female Young Adult Adult Male Middle Aged
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Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network.

Cancer medicine Sep 1, 2024
OBJECTIVE: To create a deep-learning automatic segmentation model for esophageal cancer (EC), metastatic lymph nodes (MLNs) and their adjacent structures using the UperNet Swin network and computed tomography angiography (CTA) images and to improve t...
Female Aged Adult Male Middle Aged Humans Neoplasm Staging Esophageal Neoplasms Computed Tomography Angiography Deep Learning Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis
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An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Sep 1, 2024
BACKGROUND: Enlarged pores are amidst one of the top cosmetic concerns, especially among Chinese. Many small-group studies have been conducted in understanding their prevalence and beauty relevance. Nonetheless, population-level investigations are st...
Air Pollution Porosity Skin Weather Face Humans Prevalence Artificial Intelligence China Female Adolescent East Asian People Aged Young Adult Adult Male Middle Aged
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Identification of novel M2 macrophage-related molecule ATP6V1E1 and its biological role in hepatocellular carcinoma based on machine learning algorithms.

Journal of cellular and molecular medicine Sep 1, 2024
Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterized by late detection and suboptimal response to current therapies. The tumour microenvironment, especially the role of M2 macrophages, is pivotal in th...
Humans Machine Learning Carcinoma, Hepatocellular Gene Expression Regulation, Neoplastic Cell Proliferation Kaplan-Meier Estimate Vacuolar Proton-Translocating ATPases Biomarkers, Tumor Macrophages Male Prognosis Middle Aged Cell Line, Tumor Female Liver Neoplasms Tumor Microenvironment
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Antiviral Effectiveness, Clinical Outcomes, and Artificial Intelligence Imaging Analysis for Hospitalized COVID-19 Patients Receiving Antivirals.

Influenza and other respiratory viruses Sep 1, 2024
INTRODUCTION: There is still a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID-19 hospitalized patients.
Hospitalization Aged Coronavirus Infections Adult Lung Ritonavir Male Retrospective Studies Humans COVID-19 Drug Treatment Antiviral Agents Middle Aged Tomography, X-Ray Computed Artificial Intelligence Betacoronavirus Treatment Outcome Female Pandemics Pneumonia, Viral Drug Combinations SARS-CoV-2 COVID-19
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