Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Showing 169-189 of 8,290 articles
Challenges and Opportunities in the Application of CRISPR-Cas9: A Review on Genomic Editing and Therapeutic Potentials.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and the CRISPR-associated protein...

FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms.

Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serv...

Use of hybrid quantum-classical algorithms for enhancing biomarker classification.

Quantum machine learning (QML) combines quantum computing with machine learning, offering potential ...

Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer.

BACKGROUND: Head and neck cancer (HNC) presents significant research challenges due to the complexit...

Identification and evaluation of metabolic mRNAs and key miRNAs in colorectal cancer liver metastasis.

BACKGROUND: Colorectal cancer (CRC) represents a major global health challenge due to its high letha...

New hybrid features extracted from US images for breast cancer classification.

Artificial intelligence (AI), and image processing fields play a vital role in classifying benign an...

Liquid Biopsy-Based Smart Sensors for Ovarian Cancer Detection.

Ovarian cancer is one of the most aggressive gynecologic malignancies, with a vast majority of patie...

Optimizing breast cancer therapy: chemoressitance and machine learning for precision prediction.

BACKGROUND: Validate a novel in vitro resistance platform for breast cancer (BC) by assessing resist...

Immunoscore: redefining the landscape of colorectal cancer control and care.

The Immunoscore (IS), introduced by Jerome Galon in the early 2000s, evaluates immune cell densities...

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...

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...

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:...

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