InSilicoTrials’ Post

Join us tomorrow for our virtual event to discover how Altair simulation and machine learning tools can be used to efficiently optimize pharmaceutical manufacturing processes for the oral solid dose form.   📅 Date: November 8, 2023 🕒 Time: 10 am CEST 🌐 Register here: https://lnkd.in/euWXnjzn   🔍 What to Expect: - Discover how machine learning and simulation are driving efficiencies in pharma production - Learn about real-world applications and success stories - Engage with experts and ask your burning questions   👥 Who Should Attend: - Engineers in pharmaceutical manufacturing - Researchers and scientists in the pharma industry - Tech enthusiasts interested in the intersection of AI and simulation   #pharma #altairevent #altair #edem #discreteelementmethod #DEM #engineering #simulation #software #onlyforward

Discrete Element Method in Altair EDEM Machine Learning

The latest issue of Ansys Advantage is now out! Discover how Ansys simulation is transforming healthcare, helping medical device and pharmaceutical companies save lives. Read how: 💗 How Boston Children's Hospital Models Hearts ⚕ Philips Optimizes Care with Digital Twins and AI 💊 GSK Scales up Biopharmaceuticals with Simulation "With the advances in simulation techniques and computational power, for each day that a company or product line delays adoption of modeling and simulation, a month of time is lost to a simulation-driven competitor." — Mark Palmer, M.D., Ph.D., Senior Chief Technologist for Healthcare, Ansys Explore more at https://lnkd.in/e8a7f-az #ansysadvantage #simulation #newsletter #healthcare

🔬How in silico technologies could accelerate and amplify AI deployment for pharmaceutical applications 🔬   CADFEM (UK-IE) are pleased to invite you to the upcoming BioTechX webinar, hosted by Terrapinn, in collaboration with Ansys.   📅19th of June  ⏰3pm BST 🌟 Register Now 🌟 🔗https://lnkd.in/e-SNYJkT   'There is no doubt that AI will be an essential element of future healthcare to guess the likely evolution of a patient, a treatment, or a manufacturing process.'   🗣️ Featured Speaker: Thierry Marchal - Ansys As the Ansys Program Director for Healthcare Solutions and Chief Technologist Healthcare for EMEA, Thierry Marchal leads the medical devices, pharmaceutical and biotech activities of Ansys through the in silico and personalized medicine evolution.   🗣️ Featured Speaker: Dr.-Ing. Dmitrij Ivanov We are excited to share that Dmitrij Ivanov, ML Engineer at our valued partner PI Probaligence GmbH, will be speaking at this event. His insights will be invaluable for anyone looking to stay at the forefront of biotech innovation.   You can read more about our collaboration with Probaligence here ➡ https://lnkd.in/e3iGkytS   This webinar is an incredible opportunity for professionals in the biotech industry to delve into the latest advancements and innovative solutions.   #CADFEM #Ansys #Probaligence #BioTechX #Pharmaceutical #InSilico

Improving drug design by using CryoEM data for precise docking of ligands at protein binding sites!   We're excited to introduce ChemEM, a new software developed in the Topf lab (Prof. Maya Topf). It uses Cryo-Electron Microscopy (Cryo-EM) data to improve the way ligands are placed in protein binding sites. While Cryo-EM has unlocked the door to high-resolution structural data, challenges remain at medium resolutions. The team engineered the ChemEM software to accurately position one or multiple ligands in medium resolution cryo-EM maps, often surpassing conventional Cryo-EM solutions. This advancement promises not only enhanced drug design precision, but also opens avenues for leveraging Cryo-EM structures in pharmaceutical research. Link to the Journal of Medical Chemistry Paper: https://lnkd.in/dApHxg4k #DrugDiscovery #Innovation #ChemEM #CryoEM #ResearchRevolution

As highlighted by QbD principles, scale down system are commonly used in pharmaceutical process development to study the effect of manufacturing Critical Process Parameters (CPPs) on drug product Critical Quality Attributes in laboratory scale. However, translating manufacturing CPPs in small scale is often a challenge and might lead to undesired results if done improperly. In this work, "The quest for down scale representativeness: how to exploit CFD to design a shear study for vaccines", we show how Computational Fluid Dynamics can be used to translate CPPs into equipment and scale independent Process Engineer Parameters (PEPs) to ensure multiscale representativeness. https://lnkd.in/dRHgGw97

𝐃𝐚𝐲 𝟏 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐏𝐀𝐑𝐓𝐈𝐂𝐋𝐄𝐒 𝟐𝟎𝟐𝟑   📸 We share a glimpse of Day 1 at the #PARTICLES2023 in Milan, where our company (Vincenzo Carbone, PhD) proudly shares a booth and gold sponsorship with our partner, Research Center Pharmaceutical Engineering GmbH.   Our teams engaged with fellow professionals and showcased our powerful #XPS (𝗲𝗫𝘁𝗲𝗻𝗱𝗲𝗱 𝗣𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀) software, exploring new frontiers in fluid-granular processes.   #XPS, powered by #DiscreteElementMethod and advanced contact models, offers unmatched accuracy in bulk behavior description. The software's massively parallel #algorithms optimized for modern GPUs ensure lightning-fast #simulations.   In partnership with RCPE, we're exclusively bringing #XPS to the #pharmaceutical industry, revolutionizing process configuration assessment and innovation. ℹ https://lnkd.in/dtPj9rgj