8 citations · 10 across the 9 of their papers we have counts for
4 papers · 1 filter
Enabling Evolutionary Therapy in Metastatic Cancer Lacking Serum Biomarkers
Eva Molnárová, Ties A. Mulders, Marcela Spee-Dropková +5
Evolutionary therapy (ET) aims to steer tumor evolution by adjusting treatment timing and dosing to control rather than eradicate tumor burden. Clinical use requires reliable monit…
Teaching the social media generation: rethinking learning without sacrificing quality
Sepinoud Azimi
The rise of social media and AI tools has reshaped how students engage with learning, process information, and build trust in educational content. This generation prefers short, vi…
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
Bashir Alam, Masa Cirkovic, Mete Harun Akcay +6
Imbalanced datasets pose a considerable challenge in training deep learning (DL) models for medical diagnostics, particularly for segmentation tasks. Imbalance may be associated wi…
Kolmogorov-Arnold Networks and Evolutionary Game Theory for More Personalized Cancer Treatment
Sepinoud Azimi, Louise Spekking, Kateřina Staňková
Personalized cancer treatment is revolutionizing oncology by leveraging precision medicine and advanced computational techniques to tailor therapies to individual patients. Despite…