From identifying novel drug targets to optimizing the manufacturing process, AI is transforming the way small molecule drugs are discovered, designed, and developed. AI-driven drug development holds remarkable potential for accelerating the availability of life-changing therapies through small molecule drug development. Read on to connect the linkages between small molecule drug chemistry, the drug discovery and development process, and the application of AI to deliver safe and effective drugs for clinical use in patients ..read more

DATAcc’s’s latest initiative, "Building the Business Case for Digital Endpoints," aims to catalyze investment in digital measurement development and deployment within clinical trials. Through the development of a comprehensive value framework, benchmarking tools, ROI forecasting models, and a modular business case template, both of our organizations strive to empower innovators across the industry to embrace digital endpoints and drive their universal adoption and scalability in clinical research. VeriSIM Life has joined this groundbreaking project as a partner to boost investment and utilizat ..read more

A recent workshop on the "Convergence of AI and Digital Measures for Seamless Preclinical to Clinical Translation" brought together, for the first time, experts from clinical and preclinical into one room to explore the transformative potential of combinatorial power of digital measures and AI technologies in drug development. Through focused sessions and case studies, we explored the current implementation and validation processes for AI/ML-derived digital measures and addressed the challenges and obstacles to their adoption. Our goal was to identify strategies for integrating digital measure ..read more

In the ever-evolving landscape of drug development, scientists are continually seeking innovative approaches to streamline processes, reduce costs, and enhance efficiency. One such approach is Quantitative Systems Pharmacology (QSP) modeling, a multidisciplinary field that integrates mathematics, biology, and pharmacology to facilitate a deeper understanding of the complexities underlying disease and drug response. With the growing prominence of Artificial Intelligence (AI), QSP modeling is poised for transformative advancements that could revolutionize the drug development pipeline ..read more

VeriSIM Life’s BIOiSIM® platform can address the challenges of TD formulation development because its hybrid AI models capture the complex interplay between the API, excipients, and physiology. BIOiSIM uses a unique combination of mathematical and AI-driven techniques to analyze and predict a drug’s behavior in the human body. The platform's models provide deep insight into drug distribution in various skin layers and underlying tissues, such as joint synovial membranes, and capture a drug’s systemic exposure and clearance post-transdermal application ..read more

Understanding the context-of-use for each AI shade is crucial to address biases, ensure transparency, and enhance decision-making processes within regulatory frameworks. In this article, the authors emphasize the need for tailored regulatory measures to accommodate AI’s diverse roles, ensuring AI enhances rather than complicates regulatory processes ..read more

The following transcript was taken from a recorded conversation between Dr. Jo Varshney, CEO of VeriSIM Life, and Dr. Annick Menetrey, Clinical Pharmacology Lead at Debiopharm. Read on to understand how VeriSIM Life and Debiopharm partnered to scalably investigate first-in-human (FIH) dosing strategies for antibody-drug conjugates to reduce tumor burden safely and effectively. (Edited for clarity and length ..read more

There are several critical challenges that can affect bioavailability, including solubility, permeability, drug-drug interactions, and metabolic profile. Traditional methods for addressing these challenges are often time-consuming and expensive, but luckily, Artificial intelligence (AI) can act as a powerful tool to overcome these challenges and improve drug bioavailability ..read more

VeriSIM Life recently announced the availability of AtlasGEN™ Novel Drug Designer, which is the first and only platform that combines generative chemical discovery with biological validation to compress drug candidate selection and reduce costly experimental research dramatically. AtlasGEN is different because it constrains the generative AI with biological data, ensuring relevant and accurate results. Instead of returning 1000 potential molecular hits, most of which are not good, AtlasGEN reduces wasted time, energy and money by returning only the results that are viable ..read more

This article explores the significance of metabolites in drug development and how artificial intelligence (AI) is revolutionizing metabolite identification, leading to improved drug development outcomes. We will delve into the role of metabolites in drug development, the challenges of metabolite identification, and the benefits of AI-powered metabolite identification ..read more