Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via F-FDG PET/CT: a multicenter study.

PURPOSE: Accurate identification of bone marrow invasion (BMI) is critical for determining the progn...

Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging.

Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet ac...

Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning.

Bladder cancer (BLCA) is a prevalent urological malignancy that exhibits a high degree of tumor hete...

Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the stan...

Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodules.

OBJECTIVE: To test the performance of a DL model developed and validated for screen-detected pulmona...

Preoperative prediction value of 2.5D deep learning model based on contrast-enhanced CT for lymphovascular invasion of gastric cancer.

To develop and validate artificial intelligence models based on contrast-enhanced CT(CECT) images of...

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust...

Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction.

Molecular biostatistical workflows in oncology often rely on predictive models that use multimodal d...

Early neoplastic lesions of the pancreas: initiation, progression, and opportunities for precancer interception.

Pancreatic ductal adenocarcinoma (PDAC) is known to progress from one of two main precursor lesions:...

Machine learning improves post-transplantation hepatocellular carcinoma recurrence prediction.

BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by ...

Driven early detection of chronic kidney cancer disease based on machine learning technique.

In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal ...

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study.

BACKGROUND: Conventional diagnostic tools, including ultrasound, fine-needle aspiration cytology, an...

Nanozyme-Enabled Multimodal Sensing: Visual and Rapid Profiling of Extracellular Vesicles.

CD20, a transmembrane protein on the surface of lymphoma extracellular vesicles (EVs), is highly exp...

Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.

Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synt...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

ESE and Transfer Learning for Breast Tumor Classification.

In this study, we proposed a lightweight neural network architecture based on inverted residual netw...

GALNT6 associated with O-GlcNAcylation contributes to the tumorigenesis of oral squamous cell carcinoma.

BACKGROUND: We aimed to explore the regulatory gene associated with O-GlcNAcylation in oral squamous...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

An iterative strategy to design 4-1BB agonist nanobodies de novo with generative AI models.

The 4-1BB receptor, a key member of the tumor necrosis factor receptor (TNFR) family, represents a h...

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