Oncology/Hematology

Skin Cancer

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

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Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologi...

Artificial Intelligence: An Emerging Intellectual Sword for Battling Carcinomas.

Artificial Intelligence (AI) is a branch of computer science that deals with mathematical algorithms...

Updates in Cutaneous Oncology.

Cutaneous oncology is currently a rapidly evolving field. Dermoscopy, total body photography, biomar...

Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.

MOTIVATION: Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of immune ch...

[Deep learning-based fully automated intelligent and precise diagnosis for melanocytic lesions].

Melanocytic lesions occur on the surface of the skin, in which the malignant type is melanoma with a...

HLAncPred: a method for predicting promiscuous non-classical HLA binding sites.

Human leukocyte antigens (HLA) regulate various innate and adaptive immune responses and play a cruc...

Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy.

Immunotherapy offers the potential for durable clinical benefit but calls into question the associat...

Artificial Intelligence-based Radiomics in the Era of Immuno-oncology.

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and spurred furth...

Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes.

Cancer therapeutics cause various treatment-related changes that may impact patient follow-up and di...

epitope3D: a machine learning method for conformational B-cell epitope prediction.

The ability to identify antigenic determinants of pathogens, or epitopes, is fundamental to guide ra...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

Predicting antibody binders and generating synthetic antibodies using deep learning.

The antibody drug field has continually sought improvements to methods for candidate discovery and e...

The potential of using artificial intelligence to improve skin cancer diagnoses in Hawai'i's multiethnic population.

Skin cancer remains the most commonly diagnosed cancer in the USA with more than 1 million new cases...

Melanoma Skin Cancer Detection Using Recent Deep Learning Models.

Melanoma is considered as one of the world's deadly cancers. This type of skin cancer will spread to...

RoBoT: a robust Bayesian hypothesis testing method for basket trials.

A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment i...

Interest in artificial intelligence for the diagnosis of non-melanoma skin cancer: a survey among French general practitioners.

General practitioners (GPs) are playing a key role in skin cancer screening. Non-melanoma skin cance...

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