Alexander P. Vladimirov

Leveraging AI for Predicting Genetic Alterations in Multiple Myeloma through Morphological Analysis of Bone Marrow Aspirates

David Bermejo-Peláez, Ana Maria Mendoza-Martínez, Miguel Gómez Álvarez, Marta Hidalgo et autres

The diagnosis of multiple myeloma (MM) heavily relies on the cytomorphological analysis of bone marrow aspirate (BMA), supplemented by cytometry and genetic analysis of cytogenetic alterations, which hold critical prognostic and therapeutic implications. Key genetic alterations such as translocation t(11;14),gain 1q (+1q), …

es (code pays fourni par la source)

P-199 Artificial Intelligence System To Predict t(11,14) Status in Multiple Myeloma Patients by Leveraging the Correlation of Plasma Cell Morphology and Genetics

David Bermejo-Peláez, Ana Maria Mendoza-Martínez, Sandra Rodríguez, Nuria Díez et autres

Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases

David Bermejo-Peláez, Sandra Rueda Charro, María García Roa, Roberto Trelles‐Martínez et autres

Analysis of bone marrow aspirates (BMAs) is an essential step in the diagnosis of hematological disorders. This analysis is usually performed based on a visual examination of samples under a conventional optical microscope, which involves a labor-intensive process, limited by clinical experience …

es (code pays fourni par la source)

Evaluation of the Performance of a 3D-Printed Smartphone-Based Retinal Imaging Device as a Screening Tool for Retinal Pathology in Mozambique

Rosauro Varo, María Postigo, Rubão Bila, Elena Dacal et autres

Low-income countries carry approximately 90% of the global burden of visual impairment, and up to 80% of this could be prevented or cured. However, there are only a few studies on the prevalence of retinal disease in these countries. Easier access to …

Mozambique, es (code pays fourni par la source)

A Smartphone-Based Platform Assisted by Artificial Intelligence for Reading and Reporting Rapid Diagnostic Tests: Evaluation Study in SARS-CoV-2 Lateral Flow Immunoassays

David Bermejo-Peláez, Daniel Marcos-Mencía, Elisa Álamo, Nuria Pérez-Panizo et autres

BACKGROUND: Rapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However, many results remain unreported or unconfirmed, altering a correct epidemiological surveillance. OBJECTIVE: Our aim was to evaluate an artificial intelligence-based smartphone app, connected to a cloud web platform, …

es (code pays fourni par la source)

Digital system augmented by artificial intelligence to interpret bone marrow samples for hematological disease diagnosis

David Bermejo-Peláez, Sandra Rueda Charro, María García Roa, Roberto Trelles‐Martínez et autres

Abstract Analysis of bone marrow aspirates (BMA) is an essential step in the diagnosis of hematological disorders. This analysis is usually performed based on visual examination of the samples under a conventional optical microscope, which involves a labor-intensive process, limited by clinical …

es (code pays fourni par la source)

Smartphone-based platform assisted by artificial intelligence for reading and reporting SARS-CoV-2 lateral-flow immunoassays (Preprint)

David Bermejo-Peláez, Daniel Marcos-Mencía, Elisa Álamo, Nuria Pérez-Panizo et autres

BACKGROUND Rapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However, many results remain unreported or unconfirmed altering a correct epidemiological surveillance. OBJECTIVE To evaluate an artificial intelligence-based smartphone application, connected to a web telemedicine platform, to automatically and …

3D-Printed Portable Robotic Mobile Microscope for Remote Diagnosis of Global Health Diseases

Jaime García-Villena, J.E. Torres, Carlos Aguilar, Lin Lin et autres

Microscopy plays a crucial role in the diagnosis of numerous diseases. However, the need for trained microscopists and pathologists, the complexity of pathology, and the accessibility and affordability of the technology can hinder the provision of rapid and high-quality diagnoses and healthcare. …

es, Mozambique (code pays fourni par la source)

Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection

Elena Dacal, David Bermejo-Peláez, Lin Lin, Elisa Álamo et autres

Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropical diseases (NTDs). The Kato-Katz technique is the diagnosis method recommended by the World Health Organization (WHO) although it often presents a decreased sensitivity in low transmission settings and …

es, Kenya (code pays fourni par la source)

Mobile microscopy and telemedicine platform assisted by deep learning for quantification of Trichuris trichiura infection

Elena Dacal, David Bermejo-Peláez, Lin Lin, Elisa Álamo et autres

Abstract Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropical diseases (NTDs). Kato-Katz technique is the diagnosis method recommended by WHO and although is generally more sensitive than other microscopic methods in high transmission settings, it often …

fr, es, Kenya (code pays fourni par la source)

Dynamic Speckle Interferometry of Thin Biological Objects: Theory, Experiments, and Practical Perspectives

Alexander P. Vladimirov, A. A. Bakharev

Relation between the phase dynamics of the waves sounding thin biological object and the dynamics of the speckles in the object image plane was theoretically detected using a model dealing with interference of multiple waves with random phases. Formulas determining the dependence …

Studying of cell culture reaction to temperature change by dynamic speckle interferometry

Yu. A. Mikhailova, Alexander P. Vladimirov, A. A. Bakharev, A.G. Sergeev et autres

ru (code pays fourni par la source)