Skin Cancer

Rewiring immunometabolism in hepato-biliary-pancreatic cancers: Unraveling TME-mediated metabolic suppression and advancing next-generation immunotherapeutic approaches.

Hepato-biliary-pancreatic cancers, notorious for their pronounced heterogeneity and poor prognosis, continue to be a dominant factor in cancer-related deaths globally. Although immunotherapy has dramatically reshaped the cancer treatment landscape, its efficacy in these malignancies remains suboptimal due to the intense immunosuppression in the tumor microenvironment (TME) stemming from metabolic ...

Diffusion models for virtual populations and pharmacometric simulations.

To evaluate diffusion model-based artificial intelligence approaches for generating virtual populations with physiological determinants of drug dosing (PDODD) and pharmacokinetic (PK) profiles. A denoising diffusion probabilistic model (DDPM) was applied to a 31-variable dataset of PDODD covariates (18 continuous, 13 binary) from the National Health and Nutrition Examination Survey and compared to...

Artificial intelligence in immune checkpoint inhibitor research: A bibliometric analysis of the landscape.

This bibliometric analysis examines the transformative role of artificial intelligence (AI) in immune checkpoint inhibitor (ICI) research. Using VOSvi...

Integrating single-cell and bulk transcriptomics to identify a SUMOylation-related prognostic signature and the oncogenic role of VPS72 in hepatocellular carcinoma.

INTRODUCTION: Hepatocellular carcinoma (HCC) is a highly aggressive malignancy characterized by limited therapeutic options and significant cellular h...

Cross-modal mapping of cancer stem-like cell plasticity using deep learning.

Cancer stem-like cells (CSCs) play a pivotal role in driving tumor heterogeneity, therapeutic resistance, and disease progression. Despite the power o...

AI-assisted diagnosis of nail unit melanoma and melanonychia using a clinical deep learning model.

BACKGROUND AND OBJECTIVES: Nail unit melanoma (NUM) is a rare but potentially fatal malignancy often misdiagnosed as melanonychia. Because biopsy may ...

Integration of hierarchical clustering in hematologic biomarkers prediction for endocrine toxicity during immunotherapy in lung cancer patients.

Immune check-point inhibitors (ICIs) have outstandingly changed the treatment for lung cancer patients providing longer progression-free (PFS) and ove...

Single-cell and spatial transcriptomics reveal SUV39H1 as a master epigenetic driver of immunosuppressive niche and stemness in bladder cancer.

Bladder cancer (BC) exhibits profound molecular heterogeneity and a highly dynamic tumor microenvironment, posing major challenges for effective thera...

Personalized cancer vaccines: bridging immune-oncology and precision medicine for advanced therapeutics.

Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limited efficacy, with Sipuleucel-T remaining the only ...

Overcoming therapeutic resistance in biliary tract cancer: from resistance mechanisms to dynamic precision oncology - a narrative review.

INTRODUCTION: Biliary tract cancer (BTC) is a biologically heterogeneous and highly aggressive malignancy with limited therapeutic options and poor su...

Keratin gene expression signature predicts prognosis and immunotherapy efficacy in lung adenocarcinoma.

Keratins (KRTs) are intermediate filament proteins expressed in epithelial cells and serve as diagnostic cancer biomarkers. They serve pivotal roles i...

Enhancing venous thromboembolism risk prediction after immunotherapy for lung cancer.

Assessing venous thromboembolism (VTE) risk after immunotherapy remains important for lung cancer management. We analyzed 2,300 patients receiving fir...

Depth-aware melanoma classification and Breslow depth estimation from reflectance confocal microscopy.

Recent Advances in Immunotherapy for Breast Cancer: An Updated Review.

Immunotherapy has revolutionized the treatment landscape of breast cancer, particularly for triple-negative breast cancer (TNBC), yet primary and acqu...

Artificial intelligence (AI) uses in stereotactic radiosurgery (SRS): diagnosis with brain metastasis (BM) - A systematic review.

BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of mana...

Missed melanoma following skin lesion triage by an autonomous artificial intelligence system in a community setting.

Cancer Vaccine Development: Toward Artificial Intelligence-Assisted Personalized Cell Membrane Nanovaccine.

Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoing. However, most candidates have not achieved sta...

A cell-based kinetic framework enables TCR specificity prediction.

The ability to predict T-cell receptor (TCR) specificity from sequences could transform immunotherapy, vaccine development, and our understanding of i...

Prognostic survival models for diffuse large B-cell lymphoma using statistical and machine learning approaches.

Although diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, existing prognostic tools, including the revised International Prognostic I...

A modern review of uveal melanoma: molecular insights, clinical management, and emerging therapies.

Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...