Oncology/Hematology

Other Cancers

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

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Chemical imaging for biological systems: techniques, AI-driven processing, and applications.

Visualizing the chemical compositions of biological samples is pivotal to advancing biological scien...

Enhancing image quality in fast neutron-based range verification of proton therapy using a deep learning-based prior in LM-MAP-EM reconstruction.

This study investigates the use of list-mode (LM) maximum(MAP) expectation maximization (EM) incorpo...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and eff...

Magnetic-Driven Hydrogel Robots Loaded with Mitomycin for Active Therapy of Bladder Cancer.

Intravesical drug instillation is a common treatment for bladder cancer, but it suffers from poor ta...

Three-dimensional multimodal imaging for predicting early recurrence of hepatocellular carcinoma after surgical resection.

BACKGROUND: High tumor recurrence after surgery remains a significant challenge in managing hepatoce...

The melanoma MEGA-study: Integrating proteogenomics, digital pathology, and AI-analytics for precision oncology.

Melanoma remains the most aggressive form of skin cancer, characterized by high metastatic potential...

Artificial Intelligence in Predicting Efficacy and Toxicity of Immunotherapy: Applications, Challenges, and Future Directions.

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, becoming a standard approa...

Next-generation cancer therapeutics: unveiling the potential of liposome-based nanoparticles through bioinformatics.

Cancer remains one of the most deadly diseases in the world, requiring constant growth and improveme...

Unraveling the power of radiomics: prediction and exploration of lymph node metastasis in stage T1/2 esophageal squamous cell carcinoma.

Accurate assessment of lymph node metastasis (LNM) in T1/2-stage esophageal squamous cell carcinoma ...

Computational theranostics strategy for pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in modern medicine, characterized ...

Early detection and staging of retinitis pigmentosa using multifocal electroretinogram parameters and machine learning algorithms.

Retinitis pigmentosa is an inherited retinal disease caused by damage to photoreceptor cells. Diagno...

Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma.

PURPOSE: The non-invasive assessment of central lymph node metastasis (CLNM) in patients with papill...

Development and validation of machine learning models for distant metastasis of primary hepatic carcinoma: a population-based study.

BACKGROUND: Primary liver cancer is the sixth most common cancer globally and ranks third in cancer-...

Multifunctional nanophotonic photoacoustic biosensors: a new era in molecular imaging-guided deep-tissue cancer monitoring.

Monitoring cancer therapy is difficult because of restricted imaging depth, inadequate molecular spe...

Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet rema...

Engineered multi-domain lipid nanoparticles for targeted delivery.

Engineered lipid nanoparticles (LNPs) represent a breakthrough in targeted drug delivery, enabling p...

Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. Ho...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...

FFLUNet: Feature Fused Lightweight UNet for brain tumor segmentation.

Brain tumors, particularly glioblastoma multiforme, are considered one of the most threatening types...

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