Oncology/Hematology

Skin Cancer

Latest AI and machine learning research in skin cancer for healthcare professionals.

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and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing...

An expert system for selecting wart treatment method.

As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on...

Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model.

We develop a novel method for classifying melanocytic tumors as benign or malignant by the analysis ...

Growth of Uveal Melanoma following Intravitreal Bevacizumab.

PURPOSE: Typically treatment of large melanomas (by Collaborative Ocular Melanoma Study criteria) is...

High Interleukin 27 Production is Associated with Early Clinical Stage and Localized Disease in Patients with Melanoma.

BACKGROUND: The immune response in patients with melanoma is an important focus of research due to t...

Cytotoxic and Antimicrobial Constituents from the Essential Oil of Lippia alba (Verbenaceae).

(Verbenaceae) is a plant widely used in folk medicine to treat various diseases. The present work d...

Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.

Background. One of the fatal disorders causing death is malignant melanoma, the deadliest form of sk...

Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

OBJECTIVE: Wide-scale adoption of electronic medical records (EMRs) has created an unprecedented opp...

Identifying relevant group of miRNAs in cancer using fuzzy mutual information.

MicroRNAs (miRNAs) act as a major biomarker of cancer. All miRNAs in human body are not equally impo...

Apolipoprotein A-I: A Molecule of Diverse Function.

Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-densi...

Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.

BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. I...

Four-class classification of skin lesions with task decomposition strategy.

This paper proposes a new computer-aided method for the skin lesion classification applicable to bot...

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 Algorithm Predicts Response to Immune Checkpoint Inhibitors.

PURPOSE: Cancer treatment has been revolutionized by immune checkpoint inhibitors (ICI). However, a ...

Targeting high-risk multiple myeloma genotypes with optimized anti-CD70 CAR T cells.

Despite the success of B-cell maturation antigen (BCMA)-targeting chimeric antigen receptor (CAR) T ...

Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.

This study presents the development and evaluation of an annotation schema and rule-based natural la...

Charting New Paths in Cancer Research: Insights from the Frontiers in Cancer Science Conference 2024.

The 16th annual Frontiers in Cancer Science conference convened leading experts to discuss the lates...

The Critical Role of APOE+ Macrophages in the Immune Microenvironment and Prognosis of Lung Adenocarcinoma.

The immunoregulatory functions and clinical implications of APOE+ macrophages within the tumour micr...

PD-L1 expression assessment in Angiosarcoma improves with artificial intelligence support.

Tumoral PD-L1 expression is assessed to weigh immunotherapy options in the treatment of various type...

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