Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy" reports on the integration of deep learning and generative AI in radiopharmaceutical medicine, its impact on ...

ImmunoStruct is a multimodal deep learning framework that integrates sequence, structural, and biochemical information to predict multi-allele class-I peptide-MHC immunogenicity. By leveraging ...

Tiny silica nanoparticles engineered to seek out prostate cancer caused tumor cells to self-destruct and supercharged the ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

A new "tumor-on-a-chip" model is giving scientists a live look at how pancreatic cancer can recruit the body's own immune ...

If you participate in the challenge or use its framework, please cite the arXiv paper. If you use the MAMA-MIA dataset or the pretrained model in your research, please cite our publication and the ...