Breast Cancer

First Ever Use of Proton Stereotactic Body Radiation Therapy Delivered with Curative Intent to Bilateral Synchronous Primary Renal Cell Carcinomas.

Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever u...

Synthesis of poly(1,2-glycerol carbonate)-paclitaxel conjugates and their utility as a single high-dose replacement for multi-dose treatment regimens in peritoneal cancer.

Current chemotherapeutic dosing strategies are limited by the toxicity of anticancer agents and ther...

A successful case of a para-aortic lymphocele treated with autologous peripheral blood injection.

A lymphocele is one of the complications of systematic pelvic or para-aortic lymphadenectomy. Althou...

Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques,...

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.

Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a ...

Robotics in percutaneous cardiovascular interventions.

The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained ...

Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.

Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in...

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-l...

The pervasive crisis of diminishing radiation therapy access for vulnerable populations in the United States, part 2: American Indian patients.

INTRODUCTION: American Indian/Alaska Native (AI/AN) patients with cancer disproportionally present w...

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.

Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. How...

Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment.

The increasing threat of cancer to human life and the improvement in survival rate of this disease d...

Short-term prediction of solar energy in Saudi Arabia using automated-design fuzzy logic systems.

Solar energy is considered as one of the main sources for renewable energy in the near future. Howev...

Robotic technology in interventional cardiology: Current status and future perspectives.

Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that per...

A machine learning approach to estimation of downward solar radiation from satellite-derived data products: An application over a semi-arid ecosystem in the U.S.

Shortwave solar radiation is an important component of the surface energy balance and provides the p...

Synthesis and Biological Evaluations of Ring Substituted Tetrahydroisoquinolines (THIQs) as Anti-Breast Cancer Agents.

Breast cancer is a leading cause of mortality among women, resulting in more than half a million dea...

PAK6-Associated Support Vector Machine Classifier: A New Way to Evaluate Response and Survival of Gastric Cancer Treated by 5-FU/Oxaliplatin Chemotherapy.

Prostate-Specific Membrane Antigen Positron Emission Tomography-Computed Tomography for Prostate Cancer: Distribution of Disease and Implications for Radiation Therapy Planning.

PURPOSE: To explore the prostate-specific membrane antigen (PSMA)-avid distribution of prostate canc...

An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.

Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical as...

Is it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?

BACKGROUND: Knowledge-based planning (KBP) is a promising technique that can improve plan quality an...

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.

Machine learning applications for personalized medicine are highly dependent on access to sufficient...

Effect of different surgical procedures on the accuracy of prediction of the plasma concentration of fentanyl: comparison between mastectomy and laparoscopic prostatectomy.

BACKGROUND: The accuracy of simulation-predicted fentanyl concentration in different types of surgic...