Multiple myeloma is a malignant plasma cell disorder characterized by clonal proliferation of abnormal plasma cells. Global five-year survival rates range from 60% to 70%, largely due to novel therapeutic strategies. In our country, conventional therapies remain standard, with monoclonal antibodies recently introduced for relapsed/refractory cases....

By Dragana Drašković, Goran Marjanović, Miodrag Vučić, Irena Ćojbašić

When making complete dentures, both functional and aesthetic criteria need to be met so that the patient can accept the prosthetic restoration more easily and be satisfied with it. The aim of the research was to determine smile parameters as anthropological criteria for the selection of teeth when making complete dentures. The study included 91 den...

By Milena Kostić, Marko Igic, Marija Đorđević, Ermin Đerlek, Ana Pejcic, Nikola Gligorijević, Ivana Stankovic, Nadica S. Đorđević, Marija Andjelkovic Apostolovic

Artificial intelligence (AI) is reshaping personalized medicine by enabling earlier diagnosis, tailored therapies, and faster drug discovery. The aim of the paper was to synthesize current evidence on AI applications in precision healthcare and quantify their impact on diagnostics, therapeutic decision-making, and discovery. We conducted a systemat...

By Marko Kimi Milić, Šćepan Sinanović, Tatjana Kilibarda, Saša Bubanj

There are no specific risk factors for stroke after bee or wasp stings; however, several researchers have cited multiple stings in the head and neck region as a significant factor in the occurrence of these serious complications. We present a case of a previously healthy man with multiple acute cerebral infarctions in the subcortical and borderline...

By Vekoslav Mitrović, Snezana Lazic, Bratislav Lazic, Radojica Stolić

This meta-analytic study was conducted with the aim of quantitative integrating the findings obtained in individual studies that were concerned with determining the relationship between generalized anxiety disorder (GAD) and emotional dysregulation in studies conducted on non-clinical sample and adult population. The studies included in the meta-an...

By Danica Vukić, Teodora Safiye

Pre-eclampsia is a multiorgan disease process characterized by hypertension and proteinuria after 20 weeks of gestation. The aim of the study was to assess the serum level of anti-Müllerian hormone (AMH) in pregnant women as a predictor for pre-eclampsia. A case control study was carried out in Baghdad Teaching Hospital from 2020 to 2021. A sa...

By Wasan Wajdi, Ishraq Mohammed Kadhim, Raghad Nabeel Al-Khayyat

Multiple sclerosis (MS) is a chronic, autoimmune demyelinating disease of the central nervous system. The association of vitamin D deficiency, sun exposure, and higher incidence of multiple sclerosis has been known for long, and a number of studies have confirmed anti-inflammatory and neuroprotective properties of vitamin D. Vitamin D receptor (VDR...

By Lazar Bajić, Dejan Savic, Nikola Krstić, Ana Andrejević, Andrija Rančić, Miljana Mladenović, Tatjana Jevtovic Stoimenov

Type 2 diabetes mellitus (T2DM) is characterized by impaired glycemic control, which increases the risk of cardiovascular and metabolic complications. Exercise is a key non-pharmacological intervention known to improve blood glucose regulation, but the acute effects of different exercise modalities on glycemic control in T2DM remain unclear. The ai...

By Anja Lazić, Tatjana Jevtovic Stoimenov, Nebojša Trajković

Approximately 50% of embryo transfer cycles are performed as frozen embryo transfer (FET) cycles; however, research on the factors influencing pregnancy rates in these cycles is limited in northern Iran. The aim of this study was to identify the factors influencing the clinical pregnancy rate in hormone replacement therapy (HRT) FET cycles among in...

By Sepideh Peivandi, Samaneh Aghajanpour, Mohammad Khademloo, Keshvar Samadaee Gelehkolaee, Marzieh Zamaniyan

The emergence of the COVID-19 pandemic has underscored the critical importance of accurate and reliable methods for the early detection and management of cases. Traditional approaches to COVID-19 diagnosis often rely on binary classification methods, which may limit their accuracy and robustness. In this study, we propose a novel approach that leve...

By Affaf Khaouane, Latifa KHAOUANE, Samira FERHAT, Salah HANINI