Some analyses of last year’s progress in AI-powered drug discovery indicate that none of the molecules fully generated by artificial intelligence (AI) were taken from discovery through clinical development. Although AI has expedited the process of identifying drug targets and discovering novel molecules to interact with them, the outcomes of some clinical trials have been…
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…
Artificial intelligence (AI) has become a promising tool for the discovery of pharmaceuticals, as it can enhance the probabilities of success and adds greater precision, speed and profitability to a process with high rates of failure, extensive development periods and high costs. On this occasion, we discuss a process known as virtual screening. This refers…
Drug discovery is a costly process affected by a high attrition rate. The huge investment from pharma industry in past years has generated a vast wealth of information in the field that constitutes a great opportunity if it is conveniently exploited. Topazium is a company fully committed to creating a new collective intelligence that enables…
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…
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…