Hereditary angioedema diagnosis evaluation score (HADES): A new clinical scoring system for predicting hereditary angioedema with C1 inhibitor deficiency

Background: Diagnosis of hereditary angioedema (HAE) poses challenges because of its rarity and its overlapping symptoms with allergic and gastrointestinal conditions, resulting in misdiagnosis. Objective: We developed a predictive score using clinical variables for suspected HAE patients with C1 inhibitor deficiency (HAE-C1INH) to increase suspicion of HAE and thus improve diagnosis. Methods: The HADES (HAE…

PROCC: a predictive score to identify KRAS wild type metastatic colorectal cancer patients who are likely to benefit from panitumumab treatment

Background Practice guidelines recommend using panitumumab in combination with chemotherapy to treat KRAS wild-type (WT) metastatic colorectal cancer (mCRC) patients where it was shown to significantly extend progression-free survival (PFS) and overall survival (OS). Still, a proportion of patients will not achieve this goal. We propose a simplified predictive score to identify patients who are…

Success Story : Topazium, AI for More Human-Centered Care

Success Story Topazium: AI for More Human-Centered Care  By José Luis Diez, independent consultant and advisor in information technology, digital transformation, and digital health; business angel for startups. The company incorporates machine learning mechanisms to identify, for each patient’s profile, the combination of foods and ingredients that can best contribute to a healthy life.  …

GFPrint™: A machine learning tool for transforming genetic data into clinical insights

The increasing availability of massive genetic sequencing data in the clinical setting has triggered the need for appropriate tools to help fully exploit the wealth of information these data possess. GFPrint™ is a proprietary streaming algorithm designed to meet that need. By extracting the most relevant functional features, GFPrint™ transforms high-dimensional, noisy genetic sequencing data…

LivGuard, a deep neural network for cirrhosis detection in liver ultrasound (USD)

Introduction: Ultrasound (US) is widely used for diagnosing liver disease, particularly cirrhosis, with key signs including liver shape irregularity and echostructure. The classification of liver parenchyma as smooth or coarse, indicative of chronic liver disease, is subjective and dependent on operator experience. To address this, we introduce LivGuard, a deep learning binary classifier designed to…

Ethics or Atics? The role of artificial intelligence in medicine

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)…

GFPrint™: a machine learning tool for transforming genetic data into clinical insights

The increasing availability of massive genetic sequencing data in the clinical setting has triggered the need for appropriate tools to help fully exploit the wealth of information these data possess. GFPrint™ is a proprietary streaming algorithm designed to meet that need. By extracting the most relevant functional features, GFPrint™ transforms high-dimensional, noisy genetic sequencing data…