Oncology/Hematology

Lung Cancer

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

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Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

This paper reports an experimental comparison of artificial neural network (ANN) and support vector ...

Classification of lung cancer using ensemble-based feature selection and machine learning methods.

Lung cancer is one of the leading causes of death worldwide. There are three major types of lung can...

Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence.

In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) a...

Immediate repair of an incompletely transected obturator nerve during robotic-assisted pelvic lymphadenectomy.

Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when exte...

Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...

Artificial intelligence across the cancer care continuum.

Artificial intelligence (AI) holds significant potential to enhance various aspects of oncology, spa...

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...

Comprehensive Characterization of Somatic Mutation Timing Reveals the Evolutionary Trajectory of Lung Adenocarcinoma in Chinese Patients.

UNLABELLED: Lung adenocarcinoma (LUAD) is a heterogeneous disease with substantial genomic differenc...

Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...

Deep learning dosiomics for the pretreatment prediction of radiation dermatitis in nasopharyngeal carcinoma patients treated with radiotherapy.

PURPOSE: To develop a combined dosiomics and deep learning (DL) model for predicting radiation derma...

Lung cancer detection and classification using optimized CNN features and Squeeze-Inception-ResNeXt model.

Lung cancer, with its high mortality rate, is one of the deadliest diseases globally. The alarming i...

Multi-omics identifies OSM-OSMR as a key receptor-ligand in the tumor environment of endometrial adenocarcinoma.

Endometrial adenocarcinoma carries a bleak prognosis, and the molecular markers that evaluate the pr...

Machine learning-based estimation of occupational radiation dose in interventional cardiology.

In interventional cardiology, occupational radiation exposure for medical personnel can reach high l...

Real-Time Dose-Guided Radiation Therapy.

Dramatic strides have been made in real-time adaptive radiation therapy, where treating single tumor...

Optimization-based image reconstruction regularized with inter-spectral structural similarity for limited-angle dual-energy cone-beam CT.

. Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achiev...

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