Razvan Puf and Narcis Ciubotariu participated to Proteomics and its Applications in Cancer. The training served as a comprehensive exploration of the advancements and applications of proteomics in cancer research. The event brought together three experts from Europe and America, each presenting their innovative research and methodologies in the context of breast cancer (BC) detection, diagnosis and understanding. Prof. Dr. Margrét Thorsteinsdóttir, a distinguished professor of pharmaceutical analytical chemistry at the University of Iceland, gave a presentation focusing on “Targeted proteomics for the discovery of protein biomarkers in human plasma for early diagnosis of breast cancer”. Her research interests are aimed on lipid metabolism in cancer cells and identification of plasma-derived biomarkers for early detection of BC. In her presentation, Prof. Dr. Thorsteinsdóttir highlighted the successful implementation of a targeted proteomics platform capable of quantifying 131 proteins in human plasma. In particular, 99 proteins were quantified in an Icelandic BC study cohort with remarkable precision and accuracy, showing minimal batch variation. Of particular importance is the evaluation through rigorous validation procedures, both internally, using the measured cohort, and externally, with a new set of samples to improve early detection of BC.

The webinar took place on September 25, 2023, and was organized by the ImagoMOL cluster, uniting experts from the realms of medical imaging and artificial intelligence (AI). Carmen Mihai, as manager of ImagoMOL cluster, opened the event with a brief overview of the activities carried out within the ImagoMOL cluster and its key role in the field of molecular and structural imaging.

Professor Cipriana Ștefănescu presented a broad overview of the medical data collection process, highlighting the crucial importance of this process in the development of AI algorithms for nuclear imaging. Paul Herghelegiu pointed out the determinant role of the form and quality of input data in the design and development of AI algorithms. Professor Mihaela Breabăn and radiologist Roxana Balcan discussed the elaborated process of medical image processing and annotation for the development of advanced diagnostic paradigms. These presentations highlighted the importance of detail in obtaining relevant data and supporting medical doctors in their diagnostic process. As a final presentation, Bogdan Bercean, PhD student and co-founder of the start-up Rayscape, gave a talk on how to build and validate an AI model in radiology using only available online resources. He also underligned the significant potential of technology and online sources in the development of cutting-edge algorithms for medical image analysis.

This webinar provided an opportunity to disseminate critical milestones in the development of AI algorithms for medical imaging and highlighted the importance of continued research and collaboration in this emerging medical field.

Dr. Dragos Peptanariu participated at CADD. This course was of an introductory level and during it I learned several things about: Linux (OS Centos), introduction to CADD, Molecular Modeling, Molecular Energies, graphical visualization of ligand-receptor complexe, graphical analysis of the ligand-receptor interaction (Chimera Software), Molecular Mechanics, conformational search, receptor-based drug design. Theoretical notions were combined with practical exercises about: ligand-receptor interaction (Chimera Software), creating a compound database using MolBook UNIPI Software, pharmacophore-based drug design, and the exercises about docking a ligand into a protein (Software Dock 6) and pharmacophore modeling (software Pharmer). Theoretical concepts were also taught and practical exercises were done related to Molecular Dynamics (MD) simulation of a protein-ligand complex (Amber software), virtual screening in drug discovery and Machine Learning for drug discovery.

The program of the summer school was intense and consisted of a combination of theoretical and practical lessons. On the first day, the lessons started with introductory notes about the Linux operating system and continued with an introduction about CADD, molecular modeling energies, graphical visualization of ligand-receptor complexes and the analysis of their interaction with the Chimera software. In the following days Dr. Peptanariu learned about many other things: molecular mechanics, conformational search, receptor-based drug design, how to create a compound database using MolBook UNIPI software, docking a ligand into a protein, pharmacophore-based drug design, molecular dynamics simulation of a protein-ligand complex, virtual screening and machine learning in drug discovery.

Besides the actual participation in these courses, it was a very good opportunity to establish new professional links with the members of the teaching staff as well as with researchers from various places who came to this event.

The course was focused on innovative approaches to toxicity assessment using in vitro and in silico procedures and is open to toxicologists, risk assessors and other professionals and combines lectures by leading experts in the field of in vitro toxicology with interactive group exercises. Dr Dragos Peptanariu participate in the training. Lectures cover a wide range of topics related to regulatory, screening and investigative in vitro toxicology, while group exercises consist of real-life case studies in which participants apply the principles of in vitro toxicology to the risk assessment of chemicals. During this course dr Peptanariu learned about alternative testing methods and OECD (Organization for Economic Co-Operation and Development) testing guidelines.

The OECD program on chemical safety is: to help member and partner countries protect humans and the environment, to gain efficiency in chemicals management by developing and harmonizing testing and assessment methodologies, to avoid duplication of resources engaged by governments and industries and to integrate animal welfare and “3 Rs” considerations in developing these methodologies: Refinement alternatives: alleviate or minimize potential pain, suffering and distress; Reduction alternatives: obtain a comparable level of information from the use of fewer animals, or more information from the same number of animals; Replacement alternatives: permit a given purpose to be achieved without using animals.

The course also included practical hands-on sessions conducted by technology developers and was completed by an exam that Dr. Pieptanariu passed and received a certificate based on.

At the recommendation of Prof. Leif Eriksson (member of the International Advisory Board of BioMat4CAST), Dr. Dragos Pieptanariu have participate to the Online High Throughput and High Content Screening Workshop lasted 3 days (January 30, 31 and February 6) and provided an introduction to assay development for high throughput screening (HTS), high content screening (HCS), and lead discovery projects. It encompasses an overview, methods, and practical examples from the pharmaceutical industry, offering insights not commonly found in academic settings or literature. This workshop was led by Dr. Sheraz Gul who is Head of Assay Development and Drug Repurposing at Fraunhofer Institute for Translational Medicine and Pharmacology and is a seasoned pharmaceutical researcher. Refined over many years, this program was valuable for researchers embarking on the development of assays for high throughput screening, high content assays, and drug-discovery projects.

The event gave a comprehensive and practical view of assay development. This includes gaining a better understanding of the high throughput and high content screening/lead discovery process, knowing where to find additional information, and being able to create strong assays for new targets. Furthermore, participants had the chance to present their projects and engage in discussions to receive practical advice for overcoming challenges.

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