Raj Sharma’s Post

Accelerating commercialization of tech is possible! One key approach - deep market and demand visibility. Check out this case study on how we used PSF’s Rapid Market Intelligence Sprint: Commercialization and Demand Analysis to identify 45 potential commercialization partners for 4 very unique technologies. #commercialization #advancedmaterials

Save the date for Dr. Michael Bellucci's presentation at Formulation & Delivery UK 2024 on April 25, 14:20 GMT to learn more about XtalPi's combined computational and automated experimental platforms! #FormulationSeries24 #polymorphselection #CrystalStructurePrediction

By simulating real-world fluid behavior with high precision, #CFD analysis opens up possibilities for innovation and problem-solving in a number of industries from aerospace to biomedical. This image shows the surface contour map of drug concentration in a bifurcating (branching) artery. Drug is released from the surfaces of the stent where red color indicates regions of more drug and blue indicates low drug concentration. This Tecplot 360 image was created by Elazer Edelman, Vijaya Kolachalama, and Evan Levine. Learn more: https://okt.to/PDlc2T #computationalfluiddynamics #visualization #biomedical

While generative models have great potential to accelerate drug design, they often produce molecules are that hard to synthesize. At #NeurIPS2024, we’ll share more about SynFlowNet, a GFlowNet specifically trained to generate molecules from documented chemical reactions and purchasable starting materials. This lets us constrain the exploration of such a generative model to a synthetically accessible chemical space and sample not only target compounds but also the synthetic routes that lead to them. Find us at the MLSB workshop on Dec 15th at 11 AM PT in the East meeting rooms 11 & 12. https://lnkd.in/gWVMpfDa

💡 Discover how the MATCHMAKER project is leveraging computational power to predict T-cell receptor pairings and design next-gen immunotherapies. Read more in our interview with Michael Birnbaum >>>https://bit.ly/3L8jGie

I really like how our rheomicroscopy setup captured dissolution, hydration and gelation of a thickener. This could be useful for comparing ingredients from various suppliers across a range of temperature and shear conditions. #rheomicroscopy #rheologylab #tainstruments

I’m happy to share that this month at VSPARTICLE, we’re hosting the webinar “Automated labs for materials discovery: from concept to market" . In this session, Stuart Miller, Executive Director at Materials Discovery Research Institute (MDRI) and Aaike van Vugt, co-founder and CEO at VSPARTICLE will share valuable insights on how autonomous labs reshape the research landscape by enabling faster breakthroughs in sustainable solutions. We will discuss: • The MDRI’s semi-autonomous lab case study that showcases real-world applications. • The "Fail fast" approach and how automated synthesis technology accelerates innovation cycles through continuous 24/7 chemistry. • The challenges of creating large experimental datasets and training AI models with existing. technologies for Self-Driving Labs. At the end we will also have an interactive Q&A session where you can ask your questions. Interested? Then please follow this link to sign up: https://lnkd.in/ertqWrRs Hoping to see you in the Webinar on the 31st of October, 14:00 CET/08:00 CDT! #electrocatalysis #selfdrivinglabs #automatedlabs #materialdiscovery #nanoporousthinfilms #highthroughputexperimentation #nanoparticles #automatedsynthesis #nanoparticlesynthesis

Our software suite is designed for today’s drug discovery challenges—empowering researchers to make faster, smarter, and more informed decisions on the path to breakthroughs. 🔍 PatSight helps researchers navigate the IP landscape, identifying key innovative design opportunities and streamlining your compound SAR analysis. ✨ XMolGen is our generative and predictive AI platform that rapidly creates novel compounds and optimizes leads through scaffold hopping, expanding the possibilities in chemical space. 📊 XFEP delivers accurate binding affinity predictions using proprietary FEP models, enhancing docking and potency prediction with scalable, cloud-enabled efficiency. Real-world applications of our Software Suite targeting challenging targets: Identify GPX4 Hits independent of reference molecule in 28 days: https://hubs.li/Q02F_RNC0 Hybrid cryo-EM + XFEP for lead identification targeting SMARCA2: https://lnkd.in/eJiX3EFb Visit our website for more information: https://lnkd.in/eW2nuXi9

Today, $QMCO astonished the tech sector with a 138% surge, driven by a fresh collaboration with SkyWater on innovative chip production for proteomics platforms. With a remarkable relative volume of 43x and strategic momentum, the market's eyes are on Quantum.   #TechStock #Collaboration #Innovation  https://lnkd.in/dCpqpG9S

Good read