Oncology/Hematology

Other Cancers

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

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SpatialFusion: A lightweight multimodal foundation model for pathway-informed spatial niche mapping

Foundation models enable knowledge transfer across data modalities and tasks, yet foundation models ...

Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT

Routine oncologic computed tomography (CT) presents an ideal opportunity for screening spinal instab...

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer

Predicting treatment response remains challenging in oncology, particularly given the growing divers...

Spatial Agent-Based Modeling and Interpretable Machine Learning Predict Combination Therapy Response in HER2-Heterogeneous Breast Cancer

HER2 heterogeneity and reversible phenotypic plasticity play a central role in breast cancer progres...

PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency

Vision-Language Models (VLMs) offer significant potential in computational pathology by enabling int...

An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis

Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncon...

A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Histopathology

Histopathology foundation models (HFMs), pretrained on large-scale cancer datasets, have advanced co...

Rational Design of Selective IL-2-based Activators for CAR T Cells Using AlphaFold3 and Physics-Informed Machine Learning

Recombinant human Interleukin-2 (rhIL-2, Aldesleukin) is used in immunotherapy for metastatic melano...

Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman Spectroscopy and AI

Identifying predictive biomarkers of immunotherapeutic response in melanoma remains an outstanding c...

Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI

The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, med...

Evidential learning driven Breast Tumor Segmentation with Stage-divided Vision-Language Interaction

Breast cancer is one of the most common causes of death among women worldwide, with millions of fata...

Integrating AI-powered automated neurovascular bundle segmentation and radiomics for prostate cancer staging

Background: Assessment of the prostatic neurovascular bundles on MRI is clinically relevant for stag...

mRNA-Protein Coordination is Contextualized by Metastatic Biological Phenotypes

A central goal of conducting omics measurements is to understand how molecular features inform highe...

SwiftTCR: Efficient Computational Docking protocol of TCRpMHC-I Complexes Using Restricted Rotation Matrices

The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recogn...

A Lightweight Multi-Cancer Tumor Localization Framework for Deployable Digital Pathology

Accurate localization of tumor regions from hematoxylin and eosin-stained whole-slide images is fund...

A minimal transcriptomic signature predicts intravascular tumor extension in renal cell carcinoma

Renal cell carcinoma (RCC) with venous tumor thrombus, termed renal intravascular tumor extension (R...

Sex-stratified Integrated Analysis of US lung Cancer Mortality, 1994-2020

Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, y...

Thyroid Cancer Risk Prediction from Multimodal Datasets Using Large Language Model

Thyroid carcinoma is one of the most prevalent endocrine malignancies worldwide, and accurate preope...

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