In an era of increased complexity, interdependence, uncertainty and rapidly advancing technology, the ability to identify and swiftly adapt to current and future trends is key to progressing sustainability. Intersecting drivers and stressors are converging to destabilize socioecological systems and reshape national, regional and global outlooks. The intersecting and converging crises of the 21st century have exposed the limits...

Hepatitis C virus remains a pressing global health issue that has driven extensive research for introducing advanced therapeutic regimens. Among these, the sofosbuvir (SFV)/ribavirin (RBV) drug regimen has had a profound effect on reducing the viral load. Nevertheless, this drug regimen has led to adverse testicular alterations. This study aimed to investigate the restorative effects of SFV/RBV over different durations to dete...

This study investigated the potential of combining baseline 18 F-FDG PET tumor-to-liver ratio radiomics with demographic data, using machine learning, to classify lymphoma subtypes and differentiate between candidates for ABVD and R-CHOP therapy. Additionally, we assessed whether nodal radiomics alone is sufficient for treatment and subtype classification. We conducted a multi-center study involving 241 lymphoma patients, incl...