Skin Cancer

STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features.

The adaptive immune system monitors cellular integrity by recognizing short peptides from intracellular proteins presented on major histocompatibility complex class I (MHC-I) molecules, collectively termed peptide-MHC complexes (pMHC), enabling detection of foreign or mutated proteins. With the rising importance of immunotherapies targeting cancer neoantigens, accurately predicting which peptides ...

HTS-Oracle v2: Prospective Ai-Guided Discovery and Experimental Validation of Small Molecule Modulators Across Multiple Targets.

High-throughput screening (HTS) remains the cornerstone of early phase small molecule discovery yet consistently underperforms against immunotherapy targets, yielding validated hit rates below 0.1%. Here we introduce HTS-Oracle v2, which features rigorous cross-validation that ensures honest performance estimates. HTS-Oracle v2 was trained and validated across four clinically significant immune ch...

CT radiomics machine learning for predicting treatment response in unresectable stage III-IV NSCLC: insights from dual chemo-immunotherapy and immunotherapy cohorts.

PURPOSE: The purpose of this study was to develop a machine learning model based on radiomic features extracted from baseline contrast-enhanced CT sca...

Current status and challenges of immune checkpoint inhibitors in liver cancer: from monotherapy to combination strategies.

Hepatocellular carcinoma (HCC) has an extremely poor prognosis. The emergence of immune checkpoint inhibitors (ICIs) has fundamentally transformed the...

Small lesion, big challenge? Diagnosis of small diameter melanocytic lesions by dermatologists using AI support.

BACKGROUND: Dermoscopy enhances melanoma detection, but small-diameter melanomas (SDMs) remain diagnostically challenging. Convolutional neural networ...

Recent advances on AI-driven decoding of tertiary lymphoid structures in precision cancer immunotherapy.

Tertiary lymphoid structures (TLS) are organized ectopic immune aggregates within the tumor microenvironment and have been associated with prognosis a...

Unveiling the power of TIIC: A prognostic tool for esophageal adenocarcinoma.

BACKGROUND: Esophageal adenocarcinoma (EAC) remains a lethal malignancy with limited prognostic tools for guiding immunotherapy. Tumor-infiltrating im...

TSTScope Unifies Single-Cell Multi-Omics to Identify Functional T Cell States Predictive of Immunotherapy Response.

Immune checkpoint blockade (ICB) can produce durable responses in cancer, but reliable predictors of benefit are still lacking. CD8+ tumor-specific T ...

Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study developed a robust prognostic signature integrating ferro...

Integrative Genomic Analysis Reveals Molecular and Clinical Disparities between Bladder and Upper Tract Urothelial Carcinoma in K-MASTER Program.

PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...

AI-HOPE lung cancer: a multicenter real-world registry integrating artificial intelligence for metastatic non-small-cell lung cancer.

BACKGROUND: The AI-HOPE Lung Cancer study is a multicenter initiative designed to integrate artificial intelligence (AI) and real-world data to improv...

Whole-slide analysis of mitotic activity in melanoma reveals higher-proliferation hotspots and distinct spatial patterns.

INTRODUCTION: Accurate assessment of mitotic activity is an important component of melanoma prognostication but remains challenging due to interobserv...

Cancer drug response and resistance: molecular mechanisms and combating strategies.

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a fo...

Machine Learning of Personal Repertoires From Public T Cell Receptors.

The T-cell receptor (TCR) repertoire records an individual's immunological history, but most unique CDR3 sequences in any one person are private and u...

Recent advances in biomarkers, artificial intelligence, and targeted therapeutic strategies in breast cancer: Current progress and future perspectives.

Breast cancer is a complex and heterogeneous disease that remains a major global health challenge. Recent progress in molecular biology, artificial in...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...

A Multi-omics Regulated Cell Death Framework Defines Immune Phenotypes and Guides Precision Therapy in Colorectal Cancer.

Colorectal cancer (CRC) is molecularly and immunologically heterogeneous, contributing to variable treatment response. Because regulated cell death (R...

Fluorodeoxyglucose-PET in Melanoma and Soft-Tissue Sarcoma: Current Applications, Challenges, and Future Directions.

Fluorodeoxyglucose PET/computed tomography plays a central role in the management of melanoma and soft-tissue sarcoma by enabling comprehensive metabo...

Predictive biomarkers for immunotherapy response in renal cell carcinoma: why have they failed?

PURPOSE OF REVIEW: The heterogeneity of response to immunotherapies in renal cell carcinoma has created a strong need for predictive biomarkers to gui...

The promise of deep urine proteomics for diagnosis of cancer, neurologic, and metabolic diseases.

INTRODUCTION: Urine offers a noninvasive and low-cost source of disease biomarkers, yet most proteomic studies have targeted single conditions. Using ...