A machine learning (ML) approach for identifying genetic biomarkers and new molecular targets associated with impaired survival of breast cancer patients

Medicine, Oncology, Publications, TopaziumLeave a comment

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…

Prospective evaluation of SkinGuard, a deep algorithmic framework for the classification of neoplastic skin lesions

Collective Intelligence, Dermatology, Medicine, Oncology, Publications, TopaziumLeave a comment

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…

Harnessing the power of AI and HTE, cloud lab and automation data to transform drug discovery

Drug discovery, Publications, R&D, TopaziumLeave a comment

Drug discovery is a lengthy and costly process affected by a high attrition rate. The revolution in experimental sciences brought about by HTE, cloud labs and lab automation should represent an excellent opportunity to completely transform drug discovery and overcome the serious problems that hinder the process. But this transformation will not be possible without…

El arte de la medicina hipocrática y la IA: un binomio al servicio del paciente

Collective Intelligence, Medicine, Publications, TopaziumLeave a comment

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…

Globant and Topazium Announce Partnership to Deliver AI-Powered End-to-End Solutions to the Life Sciences Industry

AI Platform, Breaking news, Publications, TopaziumLeave a comment

Globant and Topazium join to create new paradigms in drug discovery, clinical research, diagnostics, and well-being MADRID – September 27, 2022 – Globant (NYSE: GLOB), a digitally native company focused on reinventing businesses through innovative technology solutions, and Topazium, the biotech startup specialized in integrating the latest advances in artificial intelligence (AI) with traditional medical…

A deep learning framework (DLF) to identify clinical predictors of disease progression and mortality in metastatic castration-resistant prostate cancer (mCRPC) patients treated with docetaxel/prednisone (DP)

TopaziumLeave a comment

Background: Treatment with DP improves survival in mCRCP but is associated with significant toxicity. The question remains as to whether the improved survival is worth the toxicity risk. In this study, we have investigated the ability of a DLF to identify those patients on which treatment with DP is likely to be beneficial. Methods: The…

Profiling of clinically relevant subgroups of asymptomatic or mild-symptomatic metastatic castration-resistant prostate cancer (mCRPC) patients using PSA and testosterone levels and deep learning

TopaziumLeave a comment

Background: The optimal time to begin therapy in mCRPC patients who have either no, or minimal symptoms is not defined yet. Estimating prognosis of these patients can avoid undertreatment or overtreatment and guide the follow-up intensity. This study has investigated the ability of a deep learning framework (DLF) to identify asymptomatic or mildly symptomatic mCRPC…

Development and validation of a predictive score to identify K-Ras wild-type (WT) metastatic colorectal cancer (mCRC) patients who are likely to benefit from Panitumumab (P) treatment

TopaziumLeave a comment

Background: Practice guidelines recommend using P to treat K-Ras WT mCRC patients where it was shown to significantly extend overall survival (OS). Still, a proportion of patients will not achieve this goal. We propose a simplified predictive score to identify patients who are likely to benefit from P treatment. Methods: NCT00364013 was used as training…

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19

Collective Intelligence, Medicine, Publications, TopaziumLeave a comment

Background: To understand the transcriptomic response to SARS-CoV-2 infection, is of the utmost importance to design diagnostic tools predicting the severity of the infection. Methods: We have performed a deep sampling analysis of the viral transcriptomic data oriented towards drug repositioning. Using different samplers, the basic principle of this methodology the biological invariance, which means…