Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhou, Huajun, Zhou, Fengtao, Zhao, Chenyu, Xu, Yingxue, Luo, Luyang, Chen, Hao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
por: Zhou, Huajun, et al.
Publicado: (2025)
por: Zhou, Huajun, et al.
Publicado: (2025)
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology
por: Yang, Changchun, et al.
Publicado: (2025)
por: Yang, Changchun, et al.
Publicado: (2025)
From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
por: Muneer, Amgad, et al.
Publicado: (2025)
por: Muneer, Amgad, et al.
Publicado: (2025)
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
por: Ren, Yingxuan, et al.
Publicado: (2024)
por: Ren, Yingxuan, et al.
Publicado: (2024)
From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
por: Zhao, Chuang, et al.
Publicado: (2026)
por: Zhao, Chuang, et al.
Publicado: (2026)
A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction
por: Xiang, Jinxi, et al.
Publicado: (2026)
por: Xiang, Jinxi, et al.
Publicado: (2026)
Accurate de novo sequencing of the modified proteome with OmniNovo
por: Chen, Yuhan, et al.
Publicado: (2025)
por: Chen, Yuhan, et al.
Publicado: (2025)
Uncovering the Genetic Basis of Glioblastoma Heterogeneity through Multimodal Analysis of Whole Slide Images and RNA Sequencing Data
por: Berjaoui, Ahmad, et al.
Publicado: (2024)
por: Berjaoui, Ahmad, et al.
Publicado: (2024)
Integrating Genomics into Multimodal EHR Foundation Models
por: Amar, Jonathan, et al.
Publicado: (2025)
por: Amar, Jonathan, et al.
Publicado: (2025)
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora
por: Liu, Dingkun, et al.
Publicado: (2024)
por: Liu, Dingkun, et al.
Publicado: (2024)
CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs
por: Tang, Jianting, et al.
Publicado: (2025)
por: Tang, Jianting, et al.
Publicado: (2025)
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
por: Zhuang, Luoting, et al.
Publicado: (2025)
por: Zhuang, Luoting, et al.
Publicado: (2025)
Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
por: Wang, Runchen, et al.
Publicado: (2025)
por: Wang, Runchen, et al.
Publicado: (2025)
Co-Generative De Novo Functional Protein Design
por: Chen, Xinrui, et al.
Publicado: (2026)
por: Chen, Xinrui, et al.
Publicado: (2026)
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
por: Anaissi, Ali, et al.
Publicado: (2026)
por: Anaissi, Ali, et al.
Publicado: (2026)
scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
por: Zhou, Qifeng, et al.
Publicado: (2026)
por: Zhou, Qifeng, et al.
Publicado: (2026)
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
por: Tan, Yang, et al.
Publicado: (2024)
por: Tan, Yang, et al.
Publicado: (2024)
ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins
por: Zhou, Yichen, et al.
Publicado: (2026)
por: Zhou, Yichen, et al.
Publicado: (2026)
MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
por: Yang, Yehui, et al.
Publicado: (2026)
por: Yang, Yehui, et al.
Publicado: (2026)
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
por: Zhou, Jingbo, et al.
Publicado: (2024)
por: Zhou, Jingbo, et al.
Publicado: (2024)
An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks
por: Mu, Nan, et al.
Publicado: (2025)
por: Mu, Nan, et al.
Publicado: (2025)
Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
por: Yeghaian, Melda, et al.
Publicado: (2024)
por: Yeghaian, Melda, et al.
Publicado: (2024)
BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
por: Lei, Wanlu, et al.
Publicado: (2023)
por: Lei, Wanlu, et al.
Publicado: (2023)
Digital Modeling of Spatial Pathway Activity from Histology Reveals Tumor Microenvironment Heterogeneity
por: Liao, Ling, et al.
Publicado: (2025)
por: Liao, Ling, et al.
Publicado: (2025)
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
por: Liu, Xinyi, et al.
Publicado: (2025)
por: Liu, Xinyi, et al.
Publicado: (2025)
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
por: Uehara, Masatoshi, et al.
Publicado: (2025)
por: Uehara, Masatoshi, et al.
Publicado: (2025)
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
por: Yan, Zhanglu, et al.
Publicado: (2024)
por: Yan, Zhanglu, et al.
Publicado: (2024)
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates
por: Chen, Kecheng, et al.
Publicado: (2025)
por: Chen, Kecheng, et al.
Publicado: (2025)
Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration
por: Swift, Iain, et al.
Publicado: (2026)
por: Swift, Iain, et al.
Publicado: (2026)
Automating Exploratory Proteomics Research via Language Models
por: Ding, Ning, et al.
Publicado: (2024)
por: Ding, Ning, et al.
Publicado: (2024)
Automating Exploratory Multiomics Research via Language Models
por: Qu, Shang, et al.
Publicado: (2025)
por: Qu, Shang, et al.
Publicado: (2025)
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis
por: Huang, Yu-An, et al.
Publicado: (2025)
por: Huang, Yu-An, et al.
Publicado: (2025)
Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors
por: Banerjee, Amartya, et al.
Publicado: (2025)
por: Banerjee, Amartya, et al.
Publicado: (2025)
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
por: Poggi, Aurora, et al.
Publicado: (2025)
por: Poggi, Aurora, et al.
Publicado: (2025)
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
por: Wu, Yushuai, et al.
Publicado: (2024)
por: Wu, Yushuai, et al.
Publicado: (2024)
JESTR: Joint Embedding Space Technique for Ranking Candidate Molecules for the Annotation of Untargeted Metabolomics Data
por: Kalia, Apurva, et al.
Publicado: (2024)
por: Kalia, Apurva, et al.
Publicado: (2024)
Artificial intelligence in drug discovery: A comprehensive review with a case study on hyperuricemia, gout arthritis, and hyperuricemic nephropathy
por: Su, Junwei, et al.
Publicado: (2025)
por: Su, Junwei, et al.
Publicado: (2025)
Towards Less Biased Data-driven Scoring with Deep Learning-Based End-to-end Database Search in Tandem Mass Spectrometry
por: Yu, Yonghan, et al.
Publicado: (2024)
por: Yu, Yonghan, et al.
Publicado: (2024)
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
por: Zhou, Gen, et al.
Publicado: (2025)
por: Zhou, Gen, et al.
Publicado: (2025)
Predicting T-Cell Receptor Specificity
por: Tu, Tengyao, et al.
Publicado: (2024)
por: Tu, Tengyao, et al.
Publicado: (2024)
Ejemplares similares
-
A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
por: Zhou, Huajun, et al.
Publicado: (2025) -
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology
por: Yang, Changchun, et al.
Publicado: (2025) -
From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
por: Muneer, Amgad, et al.
Publicado: (2025) -
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
por: Ren, Yingxuan, et al.
Publicado: (2024) -
From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
por: Zhao, Chuang, et al.
Publicado: (2026)