Oncology/Hematology

Comment on "MRI and PET-Based Machine Learning Radiomics for Metastasis Prediction in Pancreatic Ductal Adenocarcinoma: A Systematic Review".

Attitudes and Needs of Health Care Providers Toward Artificial Intelligence-Assisted Pediatric Palliative Care: Mixed Methods Study.

BACKGROUND: While artificial intelligence's (AI's) transformative potential in health care is widely...

Clinical Variable-Based Machine Learning for Predicting Early mCRPC Using Exclusively Clinical Variables: Development and Multicenter External Validation.

BACKGROUND AND OBJECTIVE: Metastatic hormone-sensitive prostate cancer (mHSPC) exhibits heterogeneou...

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

OBJECTIVE: Lung adenocarcinoma (LUAD) molecular heterogeneity limits traditional prognostic models. ...

Deep Learning for Differentiating Pulmonary Metastasis from Primary Lung Cancer Constructed on Frozen Sections for Intraoperative Diagnosis.

The surgical procedures for primary lung cancer and metastatic lung tumors differ. An intraoperative...

Multiview Laryngoscopic Image Fusion for Patient-Level Stratification of Vocal Fold Lesions.

Malignant or high-grade vocal fold disease is usually judged across repeated laryngoscopic views at ...

Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer using a Longitudinal US-based Stack-model.

RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of a longitudinal ultrasound (US)-b...

Explainable machine learning to predict immunotherapy outcomes in metastatic renal cell carcinoma - Meet-URO 15-AI study.

Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and...

Integrating machine learning and structure-based simulations to prioritise Z4P as a mutation-resilient IRE1α inhibitor for breast cancer.

Breast cancer is one of the most prevalent and lethal malignancies affecting women globally. The inc...

BoneCoT: multicentre validation of a whole-body skeleton foundation model for bone metastases guided by clinician-derived chain of thought.

Given the rising incidence of bone metastases, computed tomography is widely used worldwide as the i...

Key molecular mechanisms of mitochondrial metabolic pathways in specific cell subpopulations of pancreatic cancer based on scRNA-seq and bulk RNA-seq.

BACKGROUND: Pancreatic cancer (PC) is a highly malignant tumor with increasing incidence, mortality,...

Text-SpecDiffusion: A text-guided multimodal spectral diffusion model for few-shot renal cell carcinoma staging.

Despite rapid progress in multimodal spectroscopy for cancer diagnosis, its practical application re...

MRI/MRCP and endoscopic ultrasound in pancreatobiliary disease: defining complementary roles in diagnostic and therapeutic decision-making.

MRI and magnetic resonance cholangiopancreatography (MRCP) remain foundational techniques for the ev...

SynTME: A tumor microenvironment-aware, pharmacology-inspired multi-stage framework for drug synergy prediction.

BACKGROUND AND OBJECTIVES: Combination therapy mitigates toxicity and resistance, yet experimental s...

Dihydroberberine regulates the ferroptosis-autophagy positive feedback loop in colorectal cancer by targeting PANX2.

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide and remains a m...

Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.

OBJECTIVES: This study aims to evaluate provider-perceived accuracy, completeness, and clinical util...

Enhancing the positive predictive value of early-stage ovarian cancer detection using a two-step machine learning framework.

BACKGROUND: Early detection of epithelial ovarian cancer (EOC) remains a major clinical challenge. A...

From heterogeneity to mechanism: a systems-level analysis pinpoints the S100A8/A9 axis in colorectal cancer.

BACKGROUND: The functional roles of the S100 protein family in colorectal cancer (CRC) are enigmatic...

AI In Leukemia Diagnostics: Complementing the Pathologist's Role.

Artificial intelligence (AI) is reshaping every stage of leukemia diagnostics, from digital morpholo...

Explicit Inclusion of Diabetes Mellitus Without Retinopathy Within Diabetic Retinopathy Prediction.

PURPOSE: The purpose of this study was to evaluate whether explicitly modeling diabetes mellitus (DM...

Integrative multi-omics and machine learning reveal PLAUR as a Pan-Cancer prognostic biomarker and potential therapeutic target.

Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel ...