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Oncomedic

Somos el mayor portal de recursos de oncología

Con la creación de esta plataforma, pretendemos proporcionar un medio que unifique todo lo que el oncólogo necesita en el día a día, de forma dinámica y actualizada, sin necesidad de tener que abrir diferentes aplicaciones o páginas web.

Novedades

Artificial Intelligence May Help Oncologists Better Risk-Stratify Patients With Prostate Cancer.

30-01-2023

A multi-modal artificial intelligence model may have the ability to accurately stratify patients with prostate cancer into risk subgroups.

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

23-01-2023

Low-dose computed tomography (LDCT) for lung cancer screening is effective, although most eligible people are not being screened. Tools that provide personalized future cancer risk assessment could focus approaches toward those most likely to benefit. We hypothesized that a deep learning model assessing the entire volumetric LDCT data could be built to predict individual risk without requiring additional demographic or clinical data.

Machine learning-based behavioral intervention can improve end-of-life cancer care

16-01-2023

Electronic nudges delivered to health care clinicians based on a machine learning algorithm that predicts mortality risk quadrupled rates of conversations with patients about their end-of-life care preferences, according to the long-term results of a randomized clinical trial published by Penn Medicine investigators in JAMA Oncology today. The study also found that the machine learning-triggered reminders significantly decreased use of aggressive chemotherapy and other systemic therapies at end of life, which research shows is associated with poor quality of life and side effects that can lead to unnecessary hospitalizations in their final days.

AI-calculated biomarker could predict how lung cancer patients respond to immunotherapy

09-01-2023

Too often, searching for the right cancer treatment is a guess-and-check process, as doctors move through a list of costly therapies that may or may not work until they find one that sticks. But a newly discovered biomarker that can be calculated by an artificial intelligence algorithm from a routine CT scan could one day make that process much more efficient.

Machine-Learning Models Predict 6-Month Ovarian Cancer Mortality

04-01-2023

A new study shows that an ensemble of machine-learning models can predict six-month mortality for patients with ovarian cancer using patient-reported outcome data.

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