Preliminary

Plenary Lecture

1. Using Machine Learning Methods to Analyze Microcirculation
   Vladislav R ITMO University

Invited Lecture

1. MACHINE AND DEEP LEARNING METHODS IN APPLIED TASKS OF BIOLOGY AND MEDICINE
   Igor S. Golyak, 1 Igor L. Fufurin, 1 Dmitriy R. Anfimov, 1, Pavel V. Berezhanskiy, 2, Andrey Morozov, 1 1 Bauman Moscow State Technical University, 105005, Moscow, Russia 2 Morozov Children’s Clinical Hospital, State Budgetary Healthcare Institution, Moscow Healthcare Pulmonology Department, Moscow 119049, Russia

Oral Report in Saratov State University

1. Rutile Solid Immersion Terahertz Microscopy with Superior 0.06–0.11λ Resolution for medical application
   Authors: Vladislav Zhelnov,1,2,a Nikita Chernomyrdin,1,b Anna Kucheryavenko,1,2,c Gleb Katyba,1,2,d M. Skorobogatiy3,f and Kirill Zaytsev1,e Affiliations: 1 – Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia; 2 – Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia; 3 – Polytechnique Montreal, Montreal, Canada. Email: a – vleder.zel@mail.ru b – chernik-a@yandex.ru c – ans.kucher@mail.ru d – micalych@mail.ru e – kirzay@gmail.com f – maksim.skorobogatiy@polymtl.ca
2. Biomarkers in the blood serum of patients with unipolar depression and bipolar affective disorder: results of a study using Raman spectroscopy and machine learning
   Mikhail S. Snegerev,1 Alice A. Samarinova,1 Denis A. Vrazhnov,1,2 Igor A. Trimassov,1 1Tomsk State University, Lenin Ave. 36, 634050, Tomsk, Russia; 2Institute of Atmospheric Optics SB RAS, Academician Zuev square, 1, Tomsk, 634055, Russia.
3. Increasing data representativity with variational autoencoders to create a multimodal fluorescent carbon dots-based nanosensor of ions
   Olga E. Sarmanova,1 Galina N. Chugreeva,1 Kirill A. Laptinskiy,2 Sergey A. Burikov,1 Sergey A. Dolenko,2 Tatiana A. Dolenko1 1 Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia 2 Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia
4. Ultrasound microbubbles functionalized with photodithazine for photodynamic therapy in an experimental orthotopic renal cancer model
   Daria A. Terentyeva,1 Olga A. Sindeeva,1 Olga I. Gusliakova,2 Polina G. Rudakovskaya,1 Dmitry A. Gorin,1 1 Skolkovo Institute of Science and Technology, Moscow, Russia 2 Saratov State University, Saratov, Russia

Zoom Oral Report

1. A Combination of the K-nearest Neighbor Algorithm and the Principal Component Analysis for Classification and Screening of Patients with Chronic Lymphocytic Leukemia and Multiple Myeloma.
   Robert V. Butyaev, Daniil A. Chernyshev, Ludmila V. Plotnikova, Alexander M. Polyanichko. Saint Petersburg State University, Saint Petersburg
2. Polarization Resolved Second Harmonic Generation (SHG) Microscopy for investigating Gamma-irradiated Starch Granules
   Indira Govindaraju1, Ishita Chakraborty1, Sindhoora Kaniyala Melanthota1, Guan-Yu Zhuo2,3, Sib Sankar Mal4, Bhaswati Sarmah5, Vishwa Jyoti Baruah6, Krishna Kishore Mahato1, Nirmal Mazumder1,* 1Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal-576104, India 2Institute of New Drug Development, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan 3Integrative Stem Cell Center, China Medical University Hospital, No. 2, Yude Road, Taichung 40447, Taiwan 4Materials and Catalysis Lab, Department of Chemistry, National Institute of Technology Karnataka, Surathkal, Karnataka, India-575025 5Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat, Assam, 785001, India 6Centre for Biotechnology & Bioinformatics, Dibrugarh University, Assam-786004, India
3. Development of a differential photo-acoustic detector with high Q-factor
   Didar R. Makashev,1 Georgiy K. Raspopin,1 A.V. Borisov,1 Yu. V. Kistenev,1 1 Tomsk State University, Lenin Ave. 36, 634050, Tomsk, Russia;
4. Development of an algorithm for predicting the results of laser surgical procedures based on ensemble methods of machine learning
   Victoria V. Suchkova, 1,2 Dmitry I. Ryabkin, 1,2 Alexander Yu. Gerasimenko, 1,2 1 I. M. Sechenov First Moscow State Medical University, Moscow, Russia 2 National Research University of Electronic Technology MIET, Zelenograd, Moscow, Russia
5. Machine learning aided analysis of SHG microscopy images of oesophageal squamous cell carcinoma progression and high-grade dysplasia
   Kausalya Neelavara Makkithaya1, Guan-Yu Zhuo2, Nirmal Mazumder1; 1Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India; 2Institute of Translational Medicine and New Drug Development, China Medical University, Taichung, Taiwan
6. Two-photon microscopy with time resolution to assess the metabolic status of cells grown on porous ceramics.
   T. B. Lepekhina1, V. V. Nikolaev1, H. Zuhayri1, M. S. Snegerev1, A. S. Lozhkomoev2, E. I. Senkina1,2 1Tomsk State University, Lenin Ave. 36, 634050, Tomsk, Russia; 2Institute of Strength Physics and Materials Science of the Siberian Branch of the Russian Academy of Sciences (ISPMS SB RAS), 634021 Tomsk, Russia
7. Analysis of THz and Raman spectra of glioma patients biofluids by machine learning methods
   Denis A. Vrazhnov1, Olga P. CHerkasova2, Yuri V. Kistenev3; 1 V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia; 2Institute of Automation and Electrometry, SB RAS, Novosibirsk, Russia; 3Tomsk State University, Tomsk, Russia
8. The use of data mixing to increase the size of the dataset for colon cancer diagnosis using diffuse reflectance spectroscopy and machine learning
   Valentin Kupriyanov1,2 , Maria R. Pinheiro3, Sónia D. Carvalho4,5, Isa C. Carneiro4,6, Rui M. Henrique4,7 ,Valery V. Tuchin2,8,9, Luís M. Oliveira 3,10, Marine Amouroux1, Yury Kistenev2 and Walter Blondel1 1 Université de Lorraine, CNRS, CRAN UMR 7039, Vandoeuvre-Lès-Nancy, France 2Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia 3Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal 4Department of Pathology and Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto, Porto, Portugal 5Department of Pathology, Santa Luzia Hospital (ULSAM), Viana do Castelo, Portugal 6Department of Pathological, Cytological and Thanatological Anatomy, Polytechnic of Porto – School of Health (ESS), Porto, Portugal 7Department of Pathology and Molecular Immunology, Porto University – Institute of Biomedical Sciences Abel Salazar, Porto, Portugal 8Science Medical Center, Saratov State University, Saratov, Russian Federation 9A. N. Bach Institute of Biochemistry, RC “Biotechnology of the Russian Academy of Sciences,” Moscow, Russian Federation 10Physics Department, Polytechnic of Porto – School of Engineering (ISEP), Porto, Portugal

Poster

1. Multimodal data analysis of Raman spectra and dermatoscopic images for the diagnosis of skin cancer
   Irina A. Matveeva, 1 Viktoria A. Derugina, 1 1 Samara National Research University named after academician S.P. Korolev, Samara, Russia
2. Integration of optical spectroscopy methods for determining the ionic composition of water using machine learning techniques
   Kirill A. Buzanov,1 Olga E. Sarmanova,1,2 Kirill A. Laptinskiy,2 Sergey A. Burikov,1,2 Tatiana A. Dolenko1,2 1 Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia 2 Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia
3. Segmentation of hyperspectral images of skin neoplasms using convolutional neural networks
   Marina O. Vakhlaeva, Irina A. Matveeva
4. Machine learning methods for classifying Raman skin spectra.
   Irina A. Matveeva, 1 Ksenia E. Tomnikova, 1 1 Samara National Reserch University, Samara, Russia

Internet Poster

1. Raman spectroscopy and Excitation Emission Matrix for analyzing adulteration in coconut oil
   Manikanth Karnati1, Sudeeksha H C2, Nirmal Mazumder1 * 1Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India -576104 2Horiba Pvt Ltd, Bangalore, Karnataka, India -560001