Oncology/Hematology

CT Radiomics-Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study.

BACKGROUND: Thyroid carcinoma is the most prevalent endocrine malignancy, with a worldwide increasin...

Ageing phenotypes and behavioural determinants of health on age acceleration: the Cancer Survivors' Trajectories of Ageing Research (C*STAR) study protocol.

INTRODUCTION: Age acceleration in survivors of breast cancer is a critical issue because cancer and ...

24-hour physical activity, sedentary behaviour and sleep profiles in individuals with cancer: a UK Biobank cohort study.

BACKGROUND: Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, ...

Evaluating the ability of generative AI to standardize TNM staging data in lung cancer.

This study evaluates the ability of generative artificial intelligence (AI) models to standardize tu...

Mathematical fidelity vs. perceptual realism: A multi-center study of super-resolution radiomics for lung adenocarcinoma invasiveness.

OBJECTIVE: To identify the optimal super-resolution (SR) architecture for radiomics by comparing thr...

TRIM36 and CAMK2N2 regulate ferroptosis and antigen presentation in small cell lung cancer.

Small cell lung cancer (SCLC) is a highly aggressive tumor with poor prognosis. Ferroptosis is close...

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study.

BACKGROUND: Genomic assays such as Oncotype DX have transformed adjuvant treatment selection for hor...

Accelerated discovery of cell migration regulators using label-free deep learning-based automated tracking.

Cell migration underlies immune surveillance, tissue repair, embryogenesis, and-when dysregulated-tu...

Integrative analysis of mRNA stability regulation uncovers a metastasis-suppressive program in breast cancer.

Heterogeneity in cancer gene expression is typically linked to genetic and epigenetic alterations, y...

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate...

Development of head-to-head and longitudinal CycleGAN algorithm for MRI harmonization: validation in follow-up MRI evaluation in patients with brain metastasis.

Various harmonization methods have been employed for obtaining MRI from different scanners. However,...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. ...

Dynamic biomarker-based machine learning model predicts short-term treatment response in multiple myeloma.

Prediction of MYC/BCL-2 co-expression in diffuse large B-cell lymphoma using a multimodal fusion model: a retrospective study based on PET/CT habitat radiomics and deep learning.

Design of an optimal planning framework for cryosurgical treatment of brain tumor using CNN segmentation of MRI images.

This study presents an integrated methodology for pre-operative cryosurgical planning of irregularly...

[Application of artificial intelligence in pathological diagnosis of ocular tumors].

Ocular tumors encompass ocular surface tumors, orbital tumors, and intraocular tumors, characterized...

Targeting metabolism to combat anticancer and antibacterial drug resistance.

Drug resistance is a major challenge in cancer and infectious diseases, requiring innovative solutio...

Towards long-term sleep staging via wearable reflective photoplethysmography.

STUDY OBJECTIVES: Sleep staging is usually performed by manual scoring of polysomnography (PSG), whi...

BRAF inhibitor resistance in melanoma: from resistance mechanisms to therapeutic innovations.

BRAF inhibitors (BRAFi) have transformed the treatment of BRAF mutant melanoma, but inherent and acq...

Implementation and learning curve in AI-assisted fluid management during abdominal oncologic surgery: a retrospective observational study.

BACKGROUND: Intraoperative fluid management during major abdominal oncologic surgery is complex and ...

Multi-omics integration constructs a senescence-based prognostic model and identifies EIF4EBP1 as a therapeutic target in clear cell renal cell carcinoma.