Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Cancer genomic profiling predicts pathogenicity of BRCA1 and BRCA2 variants

Accurate classification of BRCA1 and BRCA2 variants is essential for cancer risk assessment and ther...

Genome-wide classification of tumor-derived reads from bulk long-read sequencing

DNA extracted from tissue samples typically derive from of a complex mixture of cell types. Without ...

Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation

We present Meta-D, an architecture that explicitly leverages categorical scanner metadata such as MR...

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only part...

A spatial multi-omic portrait of survival outcome for clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how...

CoRe-BT: A Multimodal Radiology-Pathology-Text Benchmark for Robust Brain Tumor Typing

Accurate brain tumor typing requires integrating heterogeneous clinical evidence, including magnetic...

TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth

Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only part...

Transcriptomic profiling of mouse mammary tumors enables prognostic and predictive biomarker discovery for human breast cancers

The development and validation of prognostic and predictive biomarkers in breast cancer is limited b...

Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction

While multimodal survival prediction models are increasingly more accurate, their complexity often r...

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

Breast cancer is the most frequently diagnosed malignancy among women worldwide and a leading cause ...

VALIDATION OF PROGRESS, A SIMPLE MACHINE-LEARNING DERIVED RISK STRATIFICATION SCORE FOR CASTRATION-RESISTANT PROSTATE CANCER

Purpose: Castration-resistant prostate cancer (CRPC) is characterized by marked clinical heterogenei...

Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies

Differences in microbiome composition profoundly influence drug response, yet methods to model the m...

Towards Translational Sleep Staging: A Cross-Species Deep-Learning Model for Rodent and Human EEG

Study Objectives Automated sleep staging underpins clinical sleep assessment and translational neuro...

Transforming Histology into Virtual Multiplex Immunofluorescence to Decode Prognostic Spatial Immunity in Hepatocellular Carcinoma

The spatial organization of the tumor immune microenvironment (TIME) drives hepatocellular carcinoma...

MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis

Accurate brain tumor diagnosis requires models to not only detect lesions but also generate clinical...

Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention

Accurate prediction of malignancy in renal tumors is crucial for informing clinical decisions and op...

End-to-End PET/CT Interpretation and Quantification with an LLM-Orchestrated AI Agent: A Real-World Pilot Study

Background: Although deep learning models have improved individual PET analysis, image processing an...

OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery

Therapeutic target discovery remains a critical yet intuition-driven bottleneck in drug development,...

Virtual Biopsy for Intracranial Tumors Diagnosis on MRI

Deep intracranial tumors situated in eloquent brain regions controlling vital functions present crit...

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