We use cookies.
By using the site, you agree to our Privacy Policy.

Laboratory of Laser Molecular Imaging and Machine Learning

Invited researcher Igor Konstantinovich Lednev
Time span of the project
2021-2023
General information
Name of the project: The development of methods of non-invasive screening diagnostics of viruses and bacterial respiratory infections using laser spectroscopy and artificial intelligence methods

Strategy for Scientific and Technological Development Priority Level: д
Goals and objectives

Infectious diseases is one of the most critical threats to modern society. The objective of the project is the development of methods of non-invasive screening diagnostics of viruses and bacterial respiratory infections using laser spectroscopy and artificial intelligence (AI)methods.

Tasks of the project:

  1. The enhancement of artificial intelligence methods and the instrumental base of laser molecular spectroscopy.
  2. The development of methods of non-invasive screening diagnostics of viruses and bacterial respiratory infections on the basis of the spectral analysis of exhaled air using laser spectroscopy and artificial intelligence methods.
  3. The development of methods of non-invasive screening diagnostics of viruses and bacterial respiratory infections based on the spectral analysis of biological fluids using laser spectroscopy and artificial intelligence methods. The solution of the second and the third problem should include: the development of a protocol for experimental research; the selection of a group of patients with target diseases, the collection and the instrumental analysis of samples; the determination of informative features, the development and the validation of predictive models.
  4. The development of provocative tests for the assessment of the presence of viral respiratory infections on the mucosa of the oral cavity and and the bronchopulmonary system using laser spectroscopy.
The practical value of the study
  1. The creation of an analytical centre (laboratory) equipped with a set of laser spectroscopy equipment and specialised software implementing machine and deep learning in the field of creation of predictive models for the classification of laser spectroscopy data. To this purpose, we will modernise an original laser gas analyser that combines opto-acoustic detection and a laser source based on parametric generation of light. We will create a complex for Raman scattering spectroscopy in the terahertz and infrared range, including in the giant Raman scattering and the locally enhanced Raman scattering modes. Our researchers will enhance an approach based on methods of machine learning and spectral taxonomy, methods of ultra-high-resolution reconstruction, deep neural networks to content analysis of the spectrums of multi-component samples on the basis of spectral patterns and a priori information on the spectral characteristics of separate components and the development of predictive models for the subsequent classification.
  2. We will develop methods of non-invasive screening diagnostics of viruses and bacterial respiratory infections on the basis of spectral analysis of (a) exhaled air using laser opto-acoustic spectroscopy and artificial intelligence methods and (b) biological fluids using laser Raman light scattering and artificial intelligence methods.
  3. A provocative test will be developed for the assessment of the impact of viral respiratory infections on the oral mucosa and the bronchopulmonary system will be developed with the use of laser spectroscopy.
  4. Our team will ensure the modernisation of the existing postgraduate and master's degree programmes in the field of biophotonics and AI. We will also provide the training of highly professional staff in these domains with the participation of Russian and foreign partners.
  5. The laboratory will ensure the publication of a series of articles in highly-ranked journals in the domain of the project.
  6. We will prepare two patent applications for an invention and two software programmes in the domain of the project.
Hide Show full
Other laboratories and scientists
Hosting organization
Field of studies
City
Invited researcher
Time span of the project
Laboratory of Super-elastic Bio-interfaces

National Research Tomsk State University

Medical biotechnologies

Tomsk

Volinsky Alexei

USA

2021-2023

Laboratory of Clinical Smart Nano-technologies

I.M.Sechenov First Moscow State Medical University of the Ministry of Healthcare of the Russian Federation (Sechenovskiy University)

Medical biotechnologies

Moscow

Liang Xing-Ji

China

2021-2023

Laboratory of Molecular Allergology

Institute of Immunology of the Federal Biomedical Agency of Russia

Medical biotechnologies

Moscow

Rudolf Valenta

Austria

2018-2020