Oncology/Hematology

Skin Cancer

Latest AI and machine learning research in skin cancer for healthcare professionals.

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Showing 484-504 of 8,564 articles
Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma.

BACKGROUND: Melanoma (SKCM) is an extremely aggressive form of cancer, characterized by high mortali...

Apr 2025 40200221
MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.

Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provid...

Apr 2025 40184452
101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the dige...

Apr 2025 40244296
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care.

PURPOSE: The use of real-world data (RWD) in oncology is becoming increasingly important for clinica...

Apr 2025 40184559
Prediction of PD-L1 expression in NSCLC patients using PET/CT radiomics and prognostic modelling for immunotherapy in PD-L1-positive NSCLC patients.

AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model fo...

Apr 2025 40375402
Artificial intelligence predicts multiclass molecular signatures and subtypes directly from breast cancer histology: a multicenter retrospective study.

Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a dee...

Apr 2025 39764584
A weakly supervised deep learning framework for automated PD-L1 expression analysis in lung cancer.

The growing application of immune checkpoint inhibitors (ICIs) in cancer immunotherapy has underscor...

Mar 2025 40230846
Multiomics evaluation and machine learning optimize molecular classification, prediction of prognosis and immunotherapy response for ovarian cancer.

BACKGROUND: Ovarian cancer (OC), owing to its substantial heterogeneity and high invasiveness, has h...

Mar 2025 40168774
Deciphering aging-associated prognosis and heterogeneity in gastric cancer through a machine learning-driven approach.

Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...

Mar 2025 40256325
Machine learning based intratumor heterogeneity related signature for prognosis and drug sensitivity in breast cancer.

Intratumor heterogeneity (ITH) is involved in tumor evolution and drug resistance. Drug sensitivity ...

Mar 2025 40155597
Unveiling the power of Treg.Sig: a novel machine-learning derived signature for predicting ICI response in melanoma.

BACKGROUND: Although immune checkpoint inhibitor (ICI) represents a significant breakthrough in canc...

Mar 2025 40226609
Automated assessment of skin histological tissue structures by artificial intelligence in cutaneous melanoma.

BACKGROUND: Prognostic histopathological features such as mitosis in melanoma are excluded from the ...

Mar 2025 40158269
SIMVI disentangles intrinsic and spatial-induced cellular states in spatial omics data.

Spatial omics technologies enable analysis of gene expression and interaction dynamics in relation t...

Mar 2025 40148341
The Role of Eosinophils, Eosinophil-Related Cytokines and AI in Predicting Immunotherapy Efficacy in NSCLC Cancer.

Immunotherapy and chemoimmunotherapy are standard treatments for non-oncogene-addicted advanced non-...

Mar 2025 40305195
Development of an external quality assurance (EQA) structure to evaluate the quality of genetic pathology reporting.

A standard for reporting genetic pathology results currently does not exist as a consensus. While ef...

Mar 2025 40147806
Machine Learning and Mendelian Randomization Reveal a Tumor Immune Cell Profile for Predicting Bladder Cancer Risk and Immunotherapy Outcomes.

This study's objective was to develop predictive models for bladder cancer (BLCA) using tumor infilt...

Mar 2025 40122457
Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study.

ChatGPT is increasingly used in healthcare. Fields like dermatology and radiology could benefit from...

Mar 2025 40117499
Artificial Intelligence and Convolutional Neural Networks-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes.

BACKGROUND: Lymph node (LN) assessment is a critical component in the staging and management of cuta...

Mar 2025 40105309
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