Oncology/Hematology

Validation of a deep learning-based system for sleep staging, arousal detection, and respiratory event scoring in atrial fibrillation patients.

PURPOSE: Obstructive sleep apnea is a common yet underdiagnosed sleep disorder in patients with atri...

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

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and ...

Optimizing Cancer Drug Treatments Using Big Data Integration of Genomic and Clinical Data for Personalized Medicine.

Personalized cancer care depends on the seamless integration of genetic profiles, medical histories,...

Perceptions of Artificial Intelligence in Gynecologic Oncology Education: Insights from a Qualitative Study Using Semi-Structured Interviews.

Training in gynecologic oncology requires mastery of complex decision making and technically demandi...

Integrating network toxicology, machine learning, and single-cell sequencing systems to analyze autophagy core genes in lung adenocarcinoma.

The heterogeneity and complex tumor microenvironment of lung adenocarcinoma lead to poor prognosis. ...

DAFNet: A multi-modal deep learning model based on whole-lung CT for the automated prediction of the air space spread of lung adenocarcinoma.

Spread through air spaces (STAS) is a characteristic invasive pattern of lung adenocarcinoma (LUAD),...

Integrated Network Analysis Suggests an miR-21/MMP/VEGF-Associated Regulatory Axis in Gastric Cancer.

BACKGROUND, AIMS: Gastric cancer (GC) pathogenesis involves complex molecular interactions that rema...

A Dynamic Prognostic and Adaptive Treatment Framework for Advanced Biliary Tract Cancer.

BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC...

Impact of neoadjuvant chemotherapy on breast tissue density and its correlation with pathologic response: a retrospective artificial intelligence-enhanced radiological study.

OBJECTIVES: This study evaluates the impact of neoadjuvant chemotherapy (NAT) on breast tissue densi...

Molecular Characterization and Immune Modulation of Schwann Cells in Vestibular Schwannoma.

Vestibular schwannoma (VS) is a benign tumor originating from the vestibular nerve, and its complex ...

Decoding the allosteric grammar of protein kinases: A dual-stream framework integrating protein language models and energy landscape frustration analysis.

The spatial and energetic encoding of allosteric regulatory sites remains a major challenge in struc...

A modality-agnostic coronary artery habitat model for cardiac sparing in radiotherapy.

BACKGROUND: Emerging evidence suggests that the risk of cardiotoxicity increases with increased radi...

AI-assisted VMAT planning incorporating deep learning-based dose prediction for head and neck cancer: feasibility of quality standardization and human intervention for irregular cases.

BACKGROUND: Volumetric-modulated arc therapy (VMAT) represents a standard of care for head and neck ...

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 ...

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment.

Driven by changes in lifestyle and environmental factors, the global incidence of cancer is steadily...

Tumour morphology as a visible readout of cancer biology: Towards artificial intelligence-enabled multimodal risk stratification in anal squamous cell carcinoma.

CT radiomics for noninvasive prediction of histologic differentiation in gastric cancer.

BACKGROUND: The histological differentiation grade of gastric cancer critically influences treatment...

Advancing oncology education in low-income and middle-income African settings: global insights for local action.

Cancer incidence and mortality are rising globally, with their burden falling disproportionately on ...

ATF4, ZIK1, and PNMA3 Transcriptomic Signatures Predict Chemoradiotherapy Response in Cervical Cancer.

BACKGROUND: Cervical cancer (CC) is a main malignancy affecting women globally, with a high mortalit...

Local Recurrence Prediction After Carbon-ion Radiotherapy for Early-stage Non-small Cell Lung Cancer Using Machine Learning.

BACKGROUND/AIM: Predicting local recurrence remains challenging in carbon-ion radiotherapy (CIRT) fo...

Pitfalls and Emerging Trends in AI-driven Pathological Analysis of Metastatic Brain Tumors.

The integration of artificial intelligence (AI) and computational pathology has the potential to ref...