Oncology/Hematology

Prostate Cancer

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

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An ultrasound image navigation robotic prostate brachytherapy system based on US to MRI deformable image registration method.

OBJECTIVE: This paper describes an ultrasound image navigation robotic prostate brachytherapy system...

The likelihood of having a serum PSA level of ≥2.5 ng/mL according to the degree of fatty liver disease in a screened population.

INTRODUCTION: We sought to investigate the impact of fatty liver disease (FLD) on prostate cancer (P...

Outcomes Associated With 3 Treatment Schedules of High-Dose-Rate Brachytherapy Monotherapy for Favorable-Risk Prostate Cancer.

PURPOSE: We report the outcomes associated with 3 high-dose-rate (HDR) brachytherapy regimens used a...

A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction.

Blood-brain barrier (BBB) is a highly complex physical barrier determining what substances are allow...

DeepPSA: A Geometric Deep Learning Model for PROTAC Synthetic Accessibility Prediction.

Proteolysis-targeting chimeras (PROTACs) have garnered significant attention in drug design due to t...

Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits.

Photon-counting computed tomography (PCCT) marks a significant advancement over conventional Energy-...

A sub-meter resolution urban surface albedo dataset for 34 U.S. cities based on deep learning.

Surface albedo is a key determinant of urban heat islands, which modulates the amount of solar energ...

A customizable P hydrogel applicator for brachytherapy of skin hemangioma based on machine learning and 3D-printing.

Skin hemangioma is a tumor originating from skin blood vessels, which often occurs in infants and ch...

Neural pathways underlying the production of pitch and rhythm in aphasia.

Singing is a universal human attribute. Previous studies suggest that the ability to produce words t...

Evaluating prostate cancer diagnostic methods: The role and relevance of digital rectal examination in modern era.

This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...

Enhancing bone metastasis prediction in prostate cancer using quantitative mpMRI features, ISUP grade and PSA density: a machine learning approach.

PURPOSE: Bone metastasis is a critical complication in prostate cancer, significantly impacting pati...

Using Machine Learning to Predict Survival in Patients with Metastatic Castration-Resistant Prostate Cancer.

Non-specific clinical biomarkers have been shown to help identify prognostic risks in cancer patient...

Predicting Prostate Cancer Diagnosis Using Machine Learning Analysis of Healthcare Utilization Patterns.

This study investigated healthcare utilization patterns prior to prostate cancer diagnoses, aiming t...

Prediction of Prostate Cancer Grades Using Radiomic Features.

We developed a machine learning model for predicting prostate cancer (PCa) grades using radiomic fea...

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