3 papers
eess.IV2024
Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis
Jun Jiang, Raymond Moore, Brenna Novotny +5
Histopathological imaging is vital for cancer research and clinical practice, with multiplexed Immunofluorescence (MxIF) and Hematoxylin and Eosin (H&E) providing complementary ins…
q-bio.BM2024
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin +21
Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL)…
q-bio.QM2024
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani +7
Human cancers present a significant public health challenge and require the discovery of novel drugs through translational research. Transcriptomics profiling data that describes m…