Article

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy Response

2025-06-19

Abstract excerpt

Predicting drug efficacy across diverse patient contexts remains a major challenge in oncology, as models trained on cancer cell lines often fail to capture patient-specific biology. Emerging biological foundation models and patient-derived technologies offer a promising solution. Here, we present UniCure, the first pre-trained foundation model integrating both omics and chemical foundation models (UCE and Uni-mol...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 495c4bdb-a673-51b6-a6a7-029405a44a93
DOI: 10.1101/2025.06.14.658531

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy ResponseDOI 10.1101/2025.06.14.658531Read

CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancerSemantic proximity Read

Tahoe-x1: Scaling Perturbation-Trained Single-Cell Foundation Models to 3 Billion ParametersSemantic proximity Read

AetherCell: A generative engine for virtual cell perturbation and <i>in vivo</i> drug discoverySemantic proximity Read

Dose-dependent modeling of combinatorial drug responses stratifies patient survival and reveals therapeutic vulnerabilities in precision oncologySemantic proximity Read

BKDRP: A Biological Knowledge-Driven Approach for Drug Response Prediction Using Multi-Omics Data in Cancer Cell LinesSemantic proximity Read

ODFormer: a Virtual Organoid for Predicting Personalized Therapeutic Responses in Pancreatic CancerSemantic proximity Read

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile DataSemantic proximity Read

A network model for patient-derived drug response in breast cancer integrating multi-omics datasetsSemantic proximity Read

From Hype to Health Check: Critical Evaluation of Drug Response Prediction Models with DrEvalSemantic proximity Read

Mechanism-aware inference of response to targeted cancer therapiesSemantic proximity Read

Pan-Cancer Drug Sensitivity Prediction from Gene Expression using Deep LearningSemantic proximity Read

DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug ResponseSemantic proximity Read