Oncology/Hematology

Classification of histological types in ovarian cancer using deep learning.

BACKGROUND: Histological typing of carcinomas is crucial considering the varying progression, progno...

A programmable matrix-robust plasmonic MetaRing biosensor for rapid SERS-based chemotherapeutic response profiling.

Rapid assessment of chemotherapeutic response is essential for precision oncology but remains hinder...

Atypical Ductular Reactions Are a Distinct Regenerative Phenomenon in Hepatocellular Carcinoma (HCC) Patients after Transarterial Chemoembolization.

Transarterial chemoembolization (TACE) is increasingly used in patients with hepatocellular carcinom...

Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma.

BACKGROUND: Accurate preoperative differentiation between parathyroid adenoma (PA) and atypical para...

Estimating major pathological response in non-small cell lung cancer patients with post-neoadjuvant therapy using MMT-net.

Neoadjuvant therapy (NAT) has demonstrated considerable effectiveness in treating locally advanced n...

Multimodal models for skin cancer classification using clinical freetext and dermatoscopic images.

BACKGROUND: Skin cancer is one of the most prevalent cancers globally, with early detection critical...

5-Hydroxymethylcytosine profiles in circulating cell-free DNA serve as potential biomarkers for diagnosis and classification of adenomyosis.

BACKGROUND: Adenomyosis diagnosis and classification relies primarily on magnetic resonance imaging ...

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments.

Breast cancer remains a primary global health concern, with histopathological image analysis serving...

Artificial intelligence modelling in grading breast phyllodes tumours.

BACKGROUND: Breast phyllodes tumours (PT) are rare biphasic neoplasms consisting of epithelial and s...

Second-line chemotherapy after gemcitabine plus nab-paclitaxel in metastatic pancreatic cancer: comparative outcomes and AI-guided treatment selection.

BACKGROUND: International guidelines recommend 5FU/LV, Nal-IRI + 5FU/LV, FOLFIRI, FOLFOX, or (m)FOLF...

177Lu-PSMA dosimetry made easy: from theory to practical implementation.

177Lu-PSMA-targeted radioligand therapy (TRT) represents a major advance in managing metastatic cast...

Exploration of network-based, machine learning, MD simulations, and MM/GBSA approaches revealed luteolin from Gynura procumbens as key inhibitor of MMP9 in NSCLC.

The primary leading reason for cancer death is non-small-cell lung cancer (NSCLC) still up to date g...

Antibody-drug conjugate design and mechanisms of action for cancer treatment: state of the art and beyond.

Antibody-drug conjugates (ADCs) are a leading area of targeted cancer therapeutics, typically combin...

Hypoxia-related and immune phenotype-related fusion model for non-invasive prognostication of hepatocellular carcinoma treated by TACE: a multicentre study.

BACKGROUND: Survival outcomes after transarterial chemoembolisation (TACE) vary in hepatocellular ca...

Detecting Distant Metastases in Prostate Cancer Using Whole-body MR Imaging Together with DWIBS (Diffusion-weighted Imaging with Background Body Signal Suppression).

Whole-body MRI (WB-MRI) has evolved over the past 2 decades as a noninvasive imaging technique for d...

The ATF5-GPER1 axis drives female protection in hepatocellular carcinoma through dual tumor-suppressive and immune-modulatory mechanisms.

Hepatocellular carcinoma (HCC) exhibits marked sexual dimorphism, with females demonstrating superio...

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan.

Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prog...

mRNA-based cancer vaccines: A new frontier in personalized immunotherapy.

The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by provi...

Orthogonal disentanglement of single-cell multi-omics reveals private and shared drivers of tissue development and pathogenesis.

Characterizing gene expression and regulatory dynamics underlying both normal tissue function and di...

Thymic health and immunotherapy outcomes in patients with cancer.

Although immunotherapy has revolutionized cancer treatment, many patients still experience limited b...

Single-cell mitophagy signature-based artificial intelligence model enhances prediction of prognosis and immunotherapy response in non-small-cell lung cancer.