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Št. zadetkov: 4
ǂThe ǂrole of isoflavones in the prevention of breast cancer and prostate cancer
Tomislav Pejčić, Milica Zeković, Uroš Bumbaširević, Milica Kalaba, Irena Vovk, Maja Bensa, Lazar Popović, Živoslav Tešić
Pregledni znanstveni članek
Oznake: medicina;bolezni;rakava obolenja;epidemiološke študije;rak dojke;rak prostate;hrana;
This narrative review summarizes epidemiological studies on breast cancer and prostate cancer with an overview of their global incidence distribution to investigate the relationship between these diseases and diet. The biological properties, mechanisms of action, and available data supporting the po ...
Leto: 2023 Vir: Zdravstvena fakulteta (UL ZF)
Hydrogen evolution on Ir nanoparticles supported by glassy carbon and graphene nanoplatelets
Lazar Z. Rakočević, Jelena Golubović, Nemanja Latas, Aleksandra S. Popović, Vladimir Rajić, Svetlana Štrbac
Izvirni znanstveni članek
Oznake: kemijska tehnologija;materiali;iridij;katalizatorji;nanodelci;grafen;
Hydrogen evolution on Ir nanoparticles supported by glassy carbon and graphene nanoplatelets
Leto: 2025 Vir: Kemijski inštitut (KI)
Engineering Ru@Ir core–shell nanoparticles on titanium oxynitride–graphene support for a highly active and durable pH-universal hydrogen evolution reaction
Aleksandra S. Popović, Ivan Marić, Marjan Bele, Ervin Rems, Matej Huš, Luka Pavko, Francisco Ruiz-Zepeda, Lazar Bijelić, Branimir Grgur, Nejc Hodnik, Milutin Smiljanić
Izvirni znanstveni članek
Oznake: kemijska tehnologija;reakcija razvoja vodika;HER;nanodelci;elektrokatalizator;
The rational design of electrocatalysts with high activity, durability, and low precious metal content is key to advancing hydrogen production via water electrolysis. Here, we present a multifunctional electrocatalyst based on Ru@Ir core−shell nanoparticles anchored on a conductive titanium oxynitri ...
Leto: 2025 Vir: Fakulteta za kemijo in kemijsko tehnologijo (UL FKKT)
ǂA ǂmachine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
Tim Smole, Bojan Žunkovič, Matej Pičulin, Enja Kokalj, Marko Robnik Šikonja, Matjaž Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S. Maier, Lazar Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipović, Djordje G. Jakovljević, Zoran Bosnić
Izvirni znanstveni članek
Oznake: hipertrofična kardiomiopatija;napovedovanje rizika;strojno učenje;umetna inteligenca;hypertrophic cardiomyopathy;risk stratification;machine learning;artificial intelligence;
Background: Machine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis and risk stratification. Risk stratification tools for hypertrophic cardiomyopathy (HCM) exist, but they are based on traditional statistical methods. The a ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 4
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