Bioinformatics | Computational Biology | Genomics Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge. July 3, 2024
Bioinformatics | Oncology Optimal fusion of genotype and drug embeddings in predicting cancer drug response. May 16, 2024
Machine Learning | Oncology UNNT: A novel Utility for comparing Neural Net and Tree-based models. April 29, 2024
Biological Research | Drug Repurposing | Precision Medicine Graph Structured Neural Networks for Perturbation Biology. March 11, 2024
Bioinformatics | Chemical risk assessment | Medical data sciences | Safety pharmacology | Toxicogenomics DTox: A deep neural network-based in visio lens for large scale toxicogenomics data. March 3, 2024
Oncology | Pathology | Precision Medicine Deep learning infers clinically relevant protein levels and drug response in breast cancer from unannotated pathology images. February 27, 2024
Imaging Science | Oncology Quantifying the drug response of patient-derived organoid clusters by aggregated morphological indicators with multi-parameters based on optical coherence tomography. April 20, 2023
Hematology | Molecular Biology | Oncology Ex vivo drug response heterogeneity reveals personalized therapeutic strategies for patients with multiple myeloma. April 20, 2023
Oncology | Precision Medicine Deep reinforcement learning for personalized treatment recommendation. June 18, 2022
Oncology Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response. May 20, 2022
Data Science | Genomics | Oncology Deep generative neural network for accurate drug response imputation. March 20, 2021