Категорија 2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023

History of radiological protection and evolution of dosimetric quantities

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (73-80) АУТОР(И) / AUTHOR(S): Dragana Ž. Krstić, Dragoslav R. Nikezić Е-АДРЕСА / E-MAIL: dragana@kg.ac.rs Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: The paper presents a brief history of radiation…

ДетаљнијеHistory of radiological protection and evolution of dosimetric quantities

Confusion about the choice of evaluation metrics for model performance assesment in chemoinformatics, bioinformatics and in general

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (67-72) АУТОР(И) / AUTHOR(S): Bono Lučić, Viktor Bojović, Antonija Kraljević, Jadranko Batista Е-АДРЕСА / E-MAIL: lucic@irb.hr Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: In chemo/bioinformatics, we evaluate the quality…

ДетаљнијеConfusion about the choice of evaluation metrics for model performance assesment in chemoinformatics, bioinformatics and in general

Application of Carbon-Based Nanocomposite Systems as Photosensitizers for Photodynamic Therapy

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (61-66) АУТОР(И) / AUTHOR(S): Marijana Petković, Milutin Stepić, Iva Popović, Manuel Algarra, Tanja Dučić, Anamarija Abu el Rub,  Vanja Ralić,  Lela Korićanac, Jelena Žakula, Jelena Filipović Tričković, Ana Valenta Šobot, Maja…

ДетаљнијеApplication of Carbon-Based Nanocomposite Systems as Photosensitizers for Photodynamic Therapy

IRM@Be2+ – quantum chemistry between Bavaria and Šumadija

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (53-60) АУТОР(И) / AUTHOR(S): Ralph Puchta, Dušan Ćoćić Е-АДРЕСА / E-MAIL: Ralph.Puchta@fau.de Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: Quantum chemical (density functional theory) mechanistic investigations on ligand exchange…

ДетаљнијеIRM@Be2+ – quantum chemistry between Bavaria and Šumadija

db.3d-qsar.com. The first 3D QSAR models database

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (51-52) АУТОР(И) / AUTHOR(S): Rino Ragno, Alessio Ragno Е-АДРЕСА / E-MAIL: rino.ragno@uniroma1.it Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: Field-Based Three-Dimensiona Quantitative Strucutere-Activity Relationships (FB 3D QSAR) comprise computational…

Детаљнијеdb.3d-qsar.com. The first 3D QSAR models database

Multiparameter monitoring of cardiovascular function

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (43-50) АУТОР(И) / AUTHOR(S): Aleksandar Lazović, Natalija Đorđević, Predrag Tadić, Marija Ivanović, Vladimir Atanasoski, Marjan Miletić, Ljupčo Hadžievski, Arsen Ristić, Vladan Vukčević, Jovana Petrović Е-АДРЕСА / E-MAIL:  Download Full Pdf   …

ДетаљнијеMultiparameter monitoring of cardiovascular function

The hydrogen economy: challenges and prospectives

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (39-42) АУТОР(И) / AUTHOR(S): Jasmina Grbović Novaković, Sanja Milošević Govedarović, Igor Milanović, Tijana Pantić, Jelena Rmuš Mravik, Andjela Mitrović Rajić, Katarina Tošić, Milica Prvulović, Bojana Babić, Ana Vujačić Nikezić, Sandra Kurko,…

ДетаљнијеThe hydrogen economy: challenges and prospectives

Benzene and water – different or similar?

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (35-38) АУТОР(И) / AUTHOR(S): Milan R. Milovanovic, Jelena M. Zivković, Dragan B. Ninković, Jelena P. Blagojević, Snežana D. Zarić Е-АДРЕСА / E-MAIL: milovanovicmilan11@gmail.com Download Full Pdf    DOI: 10.46793 САЖЕТАК /…

ДетаљнијеBenzene and water – different or similar?

Synthetic Data Generation for Biomedical Deep Learning: Methods, Challenges, and Opportunities

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (26-33) АУТОР(И) / AUTHOR(S): Zlatan Car, Sandi Baressi Šegota, Branka Dobraš Е-АДРЕСА / E-MAIL: car@riteh.hr Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: With the proliferation of deep learning (DL)…

ДетаљнијеSynthetic Data Generation for Biomedical Deep Learning: Methods, Challenges, and Opportunities