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...

May 2017 28536262
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...

Jan 2017 28086200
Growth of Uveal Melanoma following Intravitreal Bevacizumab.

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

(6)
Nov 2016 28868282
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...

Nov 2016 28670197
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...

Aug 2016 28930132
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...

Jun 2016 27382567
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...

(1)
Feb 2016 26836975
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...

Aug 2015 26264058
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...

Jul 2015 27382195
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...

Mar 2015 25809473
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...

Aug 2014 25137721
Automated Knowledge Graph Construction for CAR T Cell Receptor Design via Hybrid Text Mining

Designing next-generation Chimeric Antigen Receptors (CARs) requires a systematic understanding of i...

Beyond Better Models: Barriers and a Path Forward in Generalisable TCR Antigen Specificity Prediction

T cells are at the centre of adaptive immunity, protecting the organism against infection and cancer...

(1)
Pervasive expression of early embryonic programs in cancer has stage-dependent survival impact

Cancers frequently co-opt genes and transcriptional networks associated with embryos and stem cells,...

(2)
lisaR: An LLM-Inferred Semantic Annotation of biological categories for gene set enrichment analysis

Gene set enrichment analysis (GSEA) turns differential expression results into lists of enriched gen...

On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis

Melanoma is the deadliest type of skin cancer, whose early diagnosis is crucial for patients' surviv...

Impact of Data Augmentation on Confidence Calibration in Melanoma Classification

Accurately quantifying the predictive uncertainty or improving model calibration plays an important ...

Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology

Gastric Adenocarcinoma is a leading cause of cancer mortality. Although "Inflamed/Non-Inflamed" subt...

Rank-Preserving Alignment Enables Cross-platform Learning and Phenotyping for Single-Cell and Spatial Proteomics

Decades of antibody-based protein profiling have generated valuable cohorts across evolving cytometr...

TxCyto: A machine learning framework for estimating cytokine activity from whole transcriptome

Cytokines are critical mediators of intercellular communication, and a comprehensive characterizatio...

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