Oncology/Hematology

Integrating network toxicology, machine learning, and molecular dynamics simulations to reveal tanshinone iia's dual mechanisms in TNBC and doxorubicin-induced cardiotoxicity.

Doxorubicin (Dox)-induced cardiotoxicity remains a critical barrier to optimizing breast cancer (BC) treatment, highlighting the urgent need to dissect its toxicological mechanisms and develop toxicity-mitigating combination strategies; here, we address this gap by integrating network toxicology, molecular dynamics simulations, bioinformatics, and machine learning to unravel how tanshinone IIA (Ta...

Time-Resolved Fluorescence and Diffuse Reflectance (TRF-DR) Spectroscopy for Heterogeneous Breast Tissue Classification and Tumor Margin Assessment.

Re-excision rates remain high for early-stage breast cancer patients due to challenges in margin delineation during surgery, such as poorly defined tumor boundaries. Our group has developed a time-resolved fluorescence and diffuse reflectance (TRF-DR) spectroscopy system to assess tumor boundaries where tissue composition is heterogeneous. This study assesses system feasibility for classifying tum...

SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images.

OBJECTIVES: This study aims to address the challenges in the diagnosis of oral cancer by proposing a novel computer-aided diagnostic framework that le...

ASO Visual Abstract: Advancing Prognostics in Oncology: Developing a Machine Learning Model for Predicting 2-Year and 5-Year Survival Rates in Patients with Undifferentiated Pleomorphic Sarcoma.

Overcoming Resistance in EGFR-Mutant Cancers: A Comprehensive Review of Inhibitor Evolution and SAR-Based Design.

The epidermal growth factor receptor (EGFR) is a key target in cancer therapy, mainly in non-small cell lung cancer (NSCLC). Though, the efficacy of E...

Multi-omics predicts radiotherapy response in small cell lung cancer patients receiving whole brain irradiation.

OBJECTIVE: Dosiomics and radiomics elaborate the low-and high-order features extracted from images to predict clinical outcomes. Whole-brain radiother...

Evaluating the impact of deep learning-based image denoising on low-dose CT for lung cancer screening.

PURPOSE: Low-dose CT (LDCT) is increasingly being adopted as a preferred method for lung cancer screening. However, the accompanying rise in image noi...

Fifty Years of Natural Killer Cells: Milestones and Future Horizons.

The discovery of natural killer (NK) cells stands among the fundamental milestones in modern immunology. To mark the 50-year anniversary of the first ...

Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence-Computer-Aided Diagnosis for Breast Cancer Screening.

OBJECTIVE: To compare two breast cancer screening strategies, digital mammography (DM) plus radiologist-interpreted automated breast ultrasound (ABUS)...

Minimal residual disease in solid tumors: Clinical applications and future directions.

Minimal residual disease (MRD) refers to the presence of residual cancer cells or tumor-derived fragments that persist after treatment and remain unde...

The Immuno-Metabolic Crosstalk in Lung Squamous Cell Carcinoma: Prognostic Insights and Therapeutic Clues.

Lung squamous cell carcinoma (LUSC) has a poor prognosis due to the lack of effective targeted therapies, and its incidence has increased dramatically...

The Effectiveness of Artificial Intelligence-Enhanced Interventions for Cancer Patients: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The incidence of cancer continues to increase, and cancer patients still suffer from a range of burdens, leading to decreased quality of l...

Comprehensive tumour-immune profiling reveals TREM2+ tumour-associated macrophages facilitating lymph node metastasis in head and neck squamous cell carcinoma.

BACKGROUND: Lymph node (LN) metastasis is a well-established independent prognostic factor in head and neck squamous cell carcinoma (HNSCC). Formation...

Targeted blood proteome profiling using NULISAseq identifies a high-performance biomarker panel for Aβ pathology quantification and staging.

INTRODUCTION: While current blood-based biomarkers for Alzheimer's disease (AD) are effective for determining amyloid beta (Aβ) pathology positivity/n...

Machine learning for optimizing mAs in KUB radiography with metal implants.

BACKGROUND AND PURPOSE: Kidney-ureter-bladder (KUB) radiography is a common examination that exposes patients to a higher radiation dose and increased...

A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization.

BACKGROUND: Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a complex, high-dimensional problem typically solved with ...

Pharmacokinetics and Customized Dosing of Vancomycin in Adult Patients With Hematological Malignancies: Status, Challenges, and Opportunities.

Vancomycin (VAN) remains the first-line treatment for methicillin-resistant, multidrug-resistant gram-positive bacterial infections, even among cancer...

Radiation-free Cobb angle estimation in adolescent scoliosis using surface topography and a linear regression model.

Scoliosis, the most common spinal deformity in adolescents, requires frequent radiographic follow-up, exposing patients to cumulative ionizing radiati...

Comprehensive bioinformatic analysis and experimental validation identify MT1M and MT1X as key metallothioneins in BC pathogenesis.

BACKGROUND: Metallothioneins (MTs) are crucial metal-binding proteins involved in cellular zinc homeostasis and oxidative stress response. However, th...

Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds.

Membraneless organelles (MLOs) are liquid-like compartments that organize cellular functions through liquid-liquid phase separation of proteins and RN...