SkinGuard is a computer-vision smartphone-based application utilising cutting-edge machine learning technologies to identify malignant skin lesions with an accuracy above 96%. It was fully developed and implemented by Topazium and it is intended for easy detection of skin cancer like melanoma to help practitioners (especially GPs) identifying the disease in its early stage. SkinGuardTM focuses…
Background: The advent of drugs targeting the PD-1/PD-L1 axis has revolutionized NSCLC treatment. Although promising, individual responses to these therapies can vary among individuals, and research is ongoing to better understand the mechanisms involved in PD1/PD-L1 expression to optimize treatment protocols, and identify which patients are most likely to benefit from these therapies. In this…
Background: Predicting life expectancy in prostate cancer patients is particularly difficult as different clinical factors significantly influence clinical outcome. Here we have developed MOSPROC, a simplified mortality predictive score to identify prostate cancer patients at high risk of mortality. Methods: The training set (TRS) (n=2,035) included metastatic Castration Resistant PC (mCRPC) patients from 4 randomized…
In an era of technological uncertainty, artificial intelligence (AI) emerges as a revolutionary tool capable of transforming multiple sectors, including medicine. However, it is crucial to understand its role as a complement rather than a substitute for human intelligence and quality, while maintaining the legacy of the Hippocratic method. The era of Artificial Intelligence (AI)…
If we asked the most famous artificial intelligence (AI) based chat today about the role that data analysis plays in everyday clinical practice, it would respond that it is increasingly important to help improve human health. However, even AI warns humans of how crucial it is to have scientific criteria based on healthcare professionals to…
NutriGuard is a machine learning framework designed and developed by Topazium to harness the potential of food components for promoting and preserving health. It is inspired by the need to understand the physiological effects exerted by food components from a well-grounded rationale based on scientific evidence. NutriGuard utilizes different sources of information to achieve its goal and…
Artificial intelligence (AI) is a technology well suited for dealing with large amounts of information and has long been considered a promising tool in drug discovery. It has made steady in roads in the field in the last decade by improving the probability of success and bringing greater precision, speed, and cost-efficiency to a process…
BACKGROUND Machine learning (ML) tools are suitable to dive vast amounts of clinical and genetic information in order to identify genetic biomarkers of worse survival and potential new molecular targets. This study has investigated the ability of one such tool to identify genetic biomarkers associated with higher risk of mortality in breast cancer, biomarkers that…
Introduction. Diagnostic errors between nevic lesions and skin tumors are frequent for non-specialist physicians. Therefore, there is a need to create a simple and practical tool based on artificial intelligence to assists them in distinguishing potentially malignant lesions from benign ones, improving early detection of skin cancer. Objective. To evaluate the performance of SkinGuard, an…
En un mundo en constante cambio y evolución como el nuestro, pocos métodos o doctrinas pueden tener el honor de permanecer vigentes durante más de 2.000 años. Uno de estos excepcionales casos es el método hipocrático, gracias al cual la medicina abandonó la superstición y la magia ejercidas por sacerdotes-médicos en aquella época y se…