Skin Cancer

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 statistically significant improvements in patient survival. To address these limitations, nanotechnology-enabled cancer nanovaccine platforms have attracted increasing attention. Relative to conventional vaccine formats, cancer nanovaccines can improve ...

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...

CMTM3 links inflammation-related transcriptional dysregulation to immune and therapeutic stratification in gastric cancer.

Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...

Automated model-based lesion tracking in CT: colorectal liver metastases as a use case for development and performance analysis.

OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesions over time, detects new metastases, and reports...

A machine learning-guided epithelial plasticity score refines prognostication and immune-context stratification in muscle-invasive bladder cancer.

PURPOSE: Muscle-invasive bladder cancer (MIBC) remains biologically heterogeneous, and clinicopathological variables do not fully capture epithelial-s...

Pharmacogenomics in oncology: mutation-targeted therapy and biomarker integration in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the most common cancer-related cause of death among all countries globally, mostly because of late diagnosis, he...

Toward a Better Paradigm for Head and Neck Cancer Treatment Applying AI (HNC-TACTIC): Protocol for an International Cohort Study of Electronic Health Records.

BACKGROUND: Head and neck squamous cell carcinomas (HNSCCs) cause considerable morbidity and mortality. Multimodal treatment strategies can cause sign...

Bidirectional microbiota-cancer crosstalk: Emerging platforms for advanced diagnostics and precision therapeutics in oncology.

Cancer is among the major causes of morbidity and mortality worldwide, and current treatment methods are limited by various drawbacks such as drug res...

Deep learning-based CD8+ T cell model for predicting prognosis and‌ targeted immunotherapy benefit in ccRCC.

Deep learning holds significant promise for improving clear cell renal cell carcinoma (ccRCC) diagnosis and treatment. However, studies concerning tum...

Integrated bulk and single-cell transcriptomic analysis reveals the impact of lactate-related genes on prognosis and immune characteristics in HNSCC.

Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis, accompanied by metabolic reprogramming and tum...

Prediction of microvascular invasion in hepatocellular carcinoma using contrast-enhanced ultrasound and deep learning.

Microvascular invasion (MVI) is a key prognostic factor in hepatocellular carcinoma but is currently only detectable after surgery. Here, we develop M...

Enhancing tumor T cell antigen prediction by integrating deep protein representations.

BACKGROUND: Cancer is a major threat to human health, and cancer immunotherapy is considered the most promising treatment option. It offers high effec...

Identification of key genes associated with T cell exhaustion in HIV infection based on transcriptomic data.

BACKGROUND: Human immunodeficiency virus (HIV) is a lentivirus belonging to the retrovirus subclass. HIV specifically targets and infects human CD4 + ...

AI-Optimized 3D-Printed Dual-Layer Implant: Resolving Chemo-Immunotherapy Sequential Administration Dilemma for Colorectal Cancer Peritoneal Metastasis.

The synergistic integration of chemotherapy and immunotherapy represents the most promising strategy for enhancing therapeutic efficacy in cancer trea...

ASTHMA AT THE CROSSROADS: FROM ANTI-TNF-α SETBACKS TO NEXT-GENERATION BIOLOGICS TARGETING TYPE 1 AND TYPE 2 INFLAMMATION.

Severe asthma remains a major unmet clinical challenge due to its marked immunological heterogeneity and the limited efficacy of current therapies in ...

Integrative profiling of senescence-associated cells and genes identifies UGT1A7 as a prognostic and therapeutic target in Lung squamous cell carcinoma.

Lung Squamous Cell Carcinoma (LUSC), a common subtype of non-small cell lung cancer, primarily occurs in elderly individuals and is closely linked to ...

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions.

Analysis of multimodal and multidimensional data capturing dynamic interactions between diverse cell populations is a current challenge in bioimaging,...