Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Identification of Factors Affecting Prostate Cancer Using Machine Learning Methods: A Systematic Review.

BACKGROUND: Prostate cancer is identified as the second cause of malignancy worldwide and the fifth ...

Organoid-Guided Precision Medicine: From Bench to Bedside.

Organoid technology, as an emerging field within biotechnology, has demonstrated transformative pote...

Global burden of non-melanoma skin cancers among older adults: a comprehensive analysis using machine learning approaches.

Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma ...

Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome.

BACKGROUND AND OBJECTIVE: This study has two main objectives. First, to evaluate a feature selection...

Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions.

Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise ...

Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer.

IMPORTANCE: Primary tumor (PT) and metastatic cervical lymph node (LN) characteristics are highly as...

Development and validation of a machine learning-based risk model for metastatic disease in nmCRPC patients: a tumor marker prognostic study.

BACKGROUND: Nonmetastatic castration-resistant prostate cancer (nmCRPC) is a clinical challenge due ...

Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

PURPOSE: This study was designed to construct progressive binary classification models based on radi...

Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Data Set.

Conventional ascitic fluid cytology for detecting ovarian cancer is limited by its low sensitivity. ...

Integrative proteomic profiling of tumor and plasma extracellular vesicles identifies a diagnostic biomarker panel for colorectal cancer.

The lack of reliable non-invasive biomarkers for early colorectal cancer (CRC) diagnosis underscores...

Feature selection for classification based on machine learning algorithms for prostate cancer.

Microarray technology has transformed the biotechnological research to next level in the recent year...

Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using r...

A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy...

Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for ide...

Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming the fields of pathology and oncolog...

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