Oncology/Hematology

Skin Cancer

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

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Automated Melanoma Screening: A Machine Learning Pipeline for Mole Detection, Boundary Segmentation, and ABCD(E) Feature Extraction

Early detection of suspicious moles remains the most effective means of reducing mortality from skin...

Generative design of antigen-specific T-cell receptor sequences with a conditional diffusion model

T cell receptor (TCR)-based immunotherapy holds immense potential for treating cancers and infectiou...

DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network

Inferring early cell fate from single-cell RNA-sequencing data is essential for identifying cellular...

STITCH links cellular morphology and gene expression in spatial transcriptomics

In situ spatial (ISS) sequencing can uncover co-variation between cellular morphology and gene expre...

MHC Attention: Identifying HLA-E presented cancer antigens through deep learning and high-throughput screening

HLA-E presented cancer peptides can be promising cancer therapy targets, as HLA-E is minimally polym...

A Web-based software toolkit for accessible and best-practice machine learning analyses in biomedical research

Machine learning is increasingly central to biomedical research, but using machine learning well oft...

Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers

Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolve...

A community machine learning challenge to predict the effects of gene perturbations on T cell differentiation for cancer immunotherapy

Perturbations of genes with functional importance in T cells could be used to change the distributio...

A Bioprinted Head and Neck Cancer Organoid-Based Platform for Evaluating Multimodal Therapies

Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...

Predicting Distant Melanoma Metastasis at Diagnosis Using Machine Learning

Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...

Machine Learning Analysis to Define Cell Lineage in Leiomyosarcoma

Introduction Cellular differentiation and lineage commitment are known to be associated with differe...

Predictive Radiomics for Evaluation of Cancer Immune SignaturE in Glioblastoma: the PRECISE-GBM study

Background: Radiogenomics allows identification of radiological biomarkers for genomic phenotypes. I...

AI-enabled virtual immunopeptidomics links quantitative neoantigen presentation to immunogenicity

Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity ...

A generative reference grammar of healthy TCR repertoires reveals cancer-associated immune remodeling

T-cell receptor (TCR) repertoires encode the organization of adaptive immunity and its reshaping by ...

A Tissue Microenvironment Analogous to Certain Tumor Microenvironments Facilitates HIV Persistence

The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...

A Hybrid Framework for Accurate Melanoma Diagnosis: Leveraging Generative AI with Enhanced CNN+ Architectures

Melanocytes become cancerous, forming tumors that may invade and destroy the surrounding tissues. Wh...

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