Concept
Diagnostic (médecine)
Publications associées (182)
Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma
Jiancheng Yang, Li Zhang, Jun Lu, Hua Zhong, Yunhua Zhang
This research explores the potential of multimodal fusion for the differential diagnosis of early-stage lung adenocarcinoma (LUAD) (tumor sizes < 2 cm). It combines liquid biopsy biomarkers, specifically extracellular vesicle long RNA (evlRNA) and the comp ...
Berlin2024Iron-carbohydrate complexes treating iron anaemia: Understanding the nano-structure and interactions with proteins through orthogonal characterisation
Antonia Neels, Marianne Liebi, Tiberiu Totu
Intravenous (IV) iron-carbohydrate complexes are widely used nanoparticles (NPs) to treat iron deficiency anaemia, often associated with medical conditions such as chronic kidney disease, heart failure and various inflammatory conditions. Even though a ple ...
Elsevier2024Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model
Yi Zhang, Wenlong Liao, Zhe Yang
Recently, remarkable progress has been made in the application of machine learning (ML) techniques (e.g., neural networks) to transformer fault diagnosis. However, the diagnostic processes employed by these techniques often suffer from a lack of interpreta ...
Piscataway2024High power electrostatic beam splitter for a proton beamline
The High Intensity Proton Accelerator facility (HIPA) delivers a 590 MeV cw (50.6 MHz) proton beam with up to 1.4 MW beam power (2.4 mA) to spallation and meson production targets serving particle physics experiments and material research. The main acceler ...
2024Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records
Silvestro Micera, Sara Mazzucato
Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...
New York2023Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis
Michele De Palma, Nahal Mansouri
Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...
2023Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts
The increasing integration of Machine Learning (ML) techniques into clinical care, driven in particular by Deep Learning (DL) using Artificial Neural Nets (ANNs), promises to reshape medical practice on various levels and across multiple medical fields. Mu ...
2023Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study
BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...
BMC2023