Oncology/Hematology

Task-agnostic explainable contrastive learning model for malignant cell detection in urine cytology.

Bladder cancer remains one of the most prevalent urological malignancies, where early detection is c...

Serum Cystatin 4 combined with routine clinical laboratory indicators: A support vector machine diagnostic model for early screening of gastrointestinal tumors.

Gastrointestinal tumors lack non-invasive early screening tools, with most patients diagnosed at adv...

Predictors of perceived value of multi-cancer early detection testing: a national PRECEDE-PROCEED framework study.

BACKGROUND: Multi-cancer early detection (MCED) tests present a paradigm transform in cancer screeni...

Precision management of gastrointestinal tumor-associated osteoporosis driven by cutting-edge technologies: Current status, challenges, and future prospects.

Gastrointestinal tumor-associated osteoporosis (GTO) is defined as secondary osteoporosis in patient...

Comment on: "deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy".

Habitat imaging based on enhanced CT for predicting occult central lymph node metastasis in papillary thyroid carcinoma.

OBJECTIVES: This study aimed to develop a combined model based on clinical, intratumoral habitat, an...

Neoantigen cancer vaccines for gastrointestinal tumors: opportunities and challenges.

Gastrointestinal tumors are characterized by high global incidence and mortality rates. Although imm...

A four‑gene signature identifies TKI‑induced persister cells and uncovers a ZLN005‑induced pyroptotic vulnerability via the GSDME pathway in EGFR‑mutant lung cancer.

Drug‑tolerant persister cells represent a major barrier to durable responses in cases of epidermal g...

Quantitative MRI for World Health Organisation/International Society of Urological Pathology Grading of Renal Cell Carcinoma: a systematic review and diagnostic meta-analysis.

OBJECTIVES: To synthesise evidence on quantitative MRI biomarkers for predicting World Health Organi...

Deep learning model for the prediction of lymph node metastasis in esophageal squamous cell carcinoma using MIP FDG-PET images: a retrospective validation study.

PURPOSE: Accurate preoperative diagnosis of lymph node (LN) metastasis in esophageal squamous cell c...

Automated three-dimensional radiomic body composition analysis enhances survival prediction in resectable non‑small cell lung cancer.

OBJECTIVE: To develop and validate a machine learning radiomics model integrating automated three-di...

Artificial Intelligence and Radiomics in the Diagnosis and Management of Cancer.

Imaging is increasingly essential for the diagnosis, prognostication, and management of cancer patie...

4D bioprinting in advanced cancer model: technologies, drug delivery, and translational challenges.

Recent advances in 3D and 4D bioprinting have enabled the development of physiologically relevant ca...

Comparative performance of machine learning algorithms for predicting mortality among early-onset colorectal cancer patients in Tennessee.

BACKGROUND: Early-onset colorectal cancer (EOCRC), defined as colorectal cancer diagnosed before age...

Nanomedicine-based targeted strategies for metabolic dysfunction-associated steatotic liver disease: Unraveling pathogenic crosstalk and overcoming clinical barriers.

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is the most prevalent chronic liver...

Integrated multi-omics and experimental analyses reveal VIPR1 as a potential mediator linking environmental bisphenol A exposure to MASH-HCC progression.

Metabolic dysfunction-associated steatohepatitis-related liver cancer (MASH-HCC) is an increasingly ...

Improving sleep monitoring in athletes: a comparative evaluation of four automated sleep scoring algorithms on 204 polysomnography recordings.

Objective With advancements in AI, automated sleep scoring offers the potential for fast, precis...

Recent Advances in Unlocking T Cell Signatures in Cancer Through Deep Learning.

T-cell receptors (TCRs) recognize antigens, including cancer antigens, offering a promising avenue f...

Immune memory engineering in mRNA therapeutics.

Messenger RNA (mRNA) therapeutics have revolutionized vaccine development and are rapidly expanding ...

Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis.

BACKGROUND AND AIMS: Pre-resection prediction of submucosal invasion is pivotal for endoscopic submu...

Clinicians vs. Artificial Intelligence in Predicting 28-Day ICU Mortality: A Vignette Study.

CONTEXT: The surprise question (SQ) is an intuition-based tool for identifying patients who may bene...