Oncology/Hematology

Cross-Scale Bioanalytical Integration for Decoding Tumour Regulatory Plasticity in Oncology.

Cancer is characterized by extensive genetic variability, continuous evolutionary change, and intricate interactions with its surrounding microenvironment and causing substantial challenges for precise diagnosis, prognostic evaluationand therapeutic selection. Traditional bulk analytical methods fail to adequately resolve this complexity highlighting the need for advanced bioanalytical approaches ...

Lung ultrasound in interstitial lung disease: from bedside screening to prognostic integration and AI-assisted standardization.

Interstitial lung diseases (ILDs) require early recognition and longitudinal assessment, yet repeated high-resolution computed tomography (HRCT) is often limited by access, cost, and cumulative radiation exposure, particularly in connective tissue disease-associated ILD (CTD-ILD). Lung ultrasound (LUS) is a bedside, radiation-free, repeatable adjunct that primarily evaluates B-line burden and pleu...

AI-driven model for early failure prediction after HIFU integrating immediate post-ablation ultrasound and clinical data.

PURPOSE: High-Intensity Focused Ultrasound (HIFU) is an emerging focal therapy for localized prostate cancer, offering an alternative to radical prost...

Epigenetic-Genetic Crosstalk at the Cancer-Diabetes Interface: Convergent Molecular Pathways, Multi-Omics Biomarkers, and Dual Therapeutic Targets.

The complex interdependence between cancer and diabetes has become a major subject of research in molecular medicine since multiple data points indica...

Integrating Machine Learning and Single-Cell Analysis to Reveal the Diagnostic and Therapeutic Value of Regulated Cell Death Mechanisms in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) treatment faces significant challenges, particularly in tumor growth, metastasis, and drug resistance. While several pr...

European Cancer Prevention Organization on cancer screening: an expert panel position paper.

BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...

Bisphenol A promotes esophageal carcinogenesis by activating the MMP1-PCOLCE regulatory axis and remodeling the tumor immune microenvironment.

Bisphenol A (BPA), a ubiquitous environmental endocrine-disrupting chemical extensively used in plastic products, has been increasingly recognized for...

Evolving techniques to optimize ERCP-based sampling and evaluation of malignant biliary strictures.

Endoscopic retrograde cholangiopancreatography (ERCP)-based tissue acquisition is the cornerstone for assessment of suspected malignant biliary strict...

From tumors to neurons: mass spectrometry imaging in spatial lipidomics.

Lipids are fundamental biomolecules that regulate cellular structure, energy metabolism, and signaling, and their dysregulation is increasingly implic...

Assessment of Papillary Thyroid Carcinoma by Profiling Multiple Matrix Metalloproteinase Activities Using a Machine Learning-Assisted Peptide Microarray Sensing Platform.

Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it remains a challenge to diagnose thyroid nodules (T...

Comparative study of radiomics features between ASL and DSC perfusion-weighted imaging in distinguishing radiation-induced brain injury from glioma recurrence.

OBJECTIVE: To compare the radiomics features of pseudocontinuous arterial spin labeling (ASL) and dynamic susceptibility contrast (DSC) perfusion-weig...

Artificial intelligence and multi-omics revealed the authentic regulation of ADP-ribosylation in modulation Treg/Th17 ecosystem and multi-target therapeutic strategy enrichment for HBV+ Hepatocellular Carcinoma patients.

OBJECTIVE: Dysregulation of Protein post-translation(PTM) and Treg/Th17 balance contribute to the progression of Hepatocellular Carcinoma(HCC) patient...

Leveraging Real-World Data for Clinical Decision Making in Geriatric Oncology.

Older adults represent most patients with cancer worldwide, yet they remain substantially underrepresented in randomized clinical trials (RCTs), limit...

Aspartame drives the continuous progression from MASLD to HCC.

BACKGROUND: Aspartame (APM), a widely used sweetener, has been linked to cancers, yet its molecular impact on metabolic dysfunction-associated steatot...

Somatic variant-calling beyond cancer: Repurposing algorithms to map low‑allele‑fraction variants across genomics.

BACKGROUND: Somatic variant callers were originally developed to identify tumour-specific mutations in mixed tumour-normal samples. Increasingly, disc...

Integrating stemness and epithelial-mesenchymal transition signatures with machine learning identifies RUNX1 as a therapeutic vulnerability in colorectal cancer.

Colorectal cancer (CC) arises from a complex interplay between genetic and epigenetic alterations within the colorectal mucosa, resulting in unchecked...

OracleScreen-LILRB4: machine learning-guided discovery of myeloid immune checkpoint binders validated in patient-derived cells.

The identification of small molecule modulators of immune checkpoint proteins remains a significant challenge in drug discovery due to the flat, featu...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...