Have you been wondering about step two? Reaxys provides high quality reaction data and access to over 339M commercial products. Click the link below to watch the video on how Reaxys can streamline your decision-making by helping you to decide between making or buying a compound product. Watch the video here: http://spkl.io/6042fwlZK #Reaxys #PreClinicalResearch #DMTA #CommercialSubstances #ReactionData #ResearchTools
Elsevier for Life Sciences
Onderzoeksdiensten
Innovate and prioritize faster and safer with actionable data and AI
Over ons
At Elsevier Life Sciences, we share a common purpose with our customers – to accelerate science to improve health – and we strive to build scientific communities and partnerships founded on that shared purpose.
- Website
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https://www.elsevier.com/industry
Externe link voor Elsevier for Life Sciences
- Branche
- Onderzoeksdiensten
- Bedrijfsgrootte
- 5.001 - 10.000 medewerkers
- Hoofdkantoor
- Amsterdam
- Opgericht
- 1880
- Specialismen
- pharmaceutical, biotechnology, chemistry, drug discovery, drug development, preclinical development, data integration en data management
Updates
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On behalf of the Elsevier Life Sciences team, we wish you a Happy New Year 2025! #Elsevier #LifeSciences
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Explore the latest insights, cutting-edge research, and transformative advancements at Elsevier's Life Sciences Innovation hub. Stay ahead of the curve with expert articles, in-depth analyses, and the newest trends shaping the future of life sciences. Whether you're a researcher, student, or enthusiast, there's something for everyone. Explore now: http://spkl.io/6044fkoX6 #LifeSciences #Innovation #Research #Elsevier
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How can companies build effective training data #chemistry AI models in five steps? 👩🔬 Dr. Jessica Lanini, Data Scientist at Novartis, explains in the clip below 👩🔬 Expand your knowledge of #AI techniques and models in #SmallMolecule discovery here: http://spkl.io/6040fn8W0
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Meet the person behind the design – in this Reaxys User Day presentation, User Experience designer Maria Baron shares some insights about how she and her team develop the look and functionality of Reaxys. Watch now: http://spkl.io/6047fkon1 #Reaxys #ReaxysUserDay2024 #Innovation #Elsevier
Global Reaxys User Day 2024 - Design Reaxys Features with Us Session 2
https://www.youtube.com/
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Embase is a unique medical literature database where comprehensive goes beyond content. With Emtree indexing of full-text content and dedicated search terms, you find all relevant and current results. This includes information that may not be uncovered in other databases. Learn more about Embase here: http://spkl.io/6040fkoV6 #Biomedical #Research #Innovation
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Accelerate Pre-Clinical Research with Reaxys! Reaxys supports you at each step of the DMTA (Design-Make-Test-Analyze) cycle to reach pre-clinical candidates faster. Introducing Step One: How to assess the chemical space for your target? Click on the link below to see how Reaxys helps you review active compounds for your target in just a few steps. Gain insights on toxicology, efficacy, and SAR from over 47M bioactivity data points. Step 1 👉 http://spkl.io/6046fwlVM #Reaxys #PreClinicalResearch #ChemicalSpace #DMTA #BioactivityData #SAR #Toxicology #Efficacy
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Wishing you Happy Holidays from the PharmaPendium team! It’s been a busy year for PharmaPendium, as we introduced many useful new enhancements to support your research and development efforts. We have much more planned for 2025 and we are so grateful to be a part of your research journey. It’s also important to everyone at Elsevier that we are able to help people in our local communities as well. Enjoy watching this special holiday video spotlighting our team’s global volunteer efforts this year: http://spkl.io/6042fbNsM #HappyHolidays2024 #PharmaPendium #Elsevier
Happy Holidays from all of us at Elsevier
https://www.youtube.com/
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Realizing actionable predictive models in #DrugDiscovery can be explained in an iterative cycle of four steps: 1. Training data preparation 2. Model design and building 3. Model validation 4. Model deployment Watch the clip below to learn about the model life cycle from Dr. Jessica Lanini, Data Scientist at Novartis 👩🔬 Learn more about how AI can advance drug discovery: http://spkl.io/6043fpdat
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Happy Holidays and a Happy New Year from the SciBite team! We had a great year at SciBite, and we appreciate the customer feedback we’ve received which helps us to continually improve our tools and solutions. We received a lot of positive feedback on our recent roadmap (http://spkl.io/6046fbNY0), which we shared with users and buyers to help ensure transparency and keep everyone informed about upcoming product enhancements. It’s been an exciting and productive year, and we can’t wait to see what’s next in 2025! We hope you will enjoy this holiday video celebrating the Elsevier team’s volunteer work in communities across the globe: http://spkl.io/6045fbNYL #HappyHolidays2024 #SciBite #Elsevier
Happy Holidays from all of us at Elsevier
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