It pains me a little as their former communications lead to admit it, but this is the best story written on Recursion to-date. STAT reporter Allison DeAngelis nailed it; the early skepticism, Founder-CEO Chris Gibson's "intense" and indomitable spirit, and importantly, the differences between Recursion's first shots on goal and the rest of the pipeline to come. Excerpt: ---The market, which initially had stratospheric expectations for AI drug development, has become somewhat skeptical of this first generation of candidates following early failures at Exscientia and another firm called Benevolent AI. Powers, the ZS Associates partner, said that Recursion has likely been stressing in public statements that it has 10 data readouts planned for the next 18 months so that it isn’t judged too harshly on the first two or three. “Of course we’re hedging,” Gibson said. “I’m ready for the volatility that will inevitably come…. Nobody’s going to get 10 out of 10.”--- A must read for anyone in the #AI #pharma sector.
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***MilliporeSigma-sponsored white paper on #AI #drugdiscovery*** Artificial intelligence is one of the biggest trends in pharma today, particularly in small molecule drug discovery. But for many small- and mid-sized biotechs, the costs and complexities of building a bespoke AI solution present a steep barrier to entry. This playbook, developed by Fierce Life Sciences, provides a practical and comprehensive guide to integrating AI into existing drug discovery programs, emphasizing: ✅ The importance of strategic planning, cross-functional teamwork and trust-building ✅ Practical steps for adopting AI, from evaluating data infrastructure to selecting the right AI tools ✅ The logistical and financial considerations necessary for successful implementation Download the playbook for free today and discover how to implement AI-enabled solutions to improve resource efficiency and a higher success rate during drug development.
How to build your AI-enabled drug discovery program
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Amidst the deluge of data, finding the right balance between working models and useful insights remains pivotal in forging the path toward leveraging computational success in the field of biotech and pharma. That's where Revvity Signals Software comes in! Revvity Signals Software has more than three decades of providing unrivaled support for scientific workflows. Revvity's powerful solutions are used across R&D disciplines from drug discovery to specialty chemicals material development. In this latest PharmaFEATURES Interview Special, Revvity Signals' Senior Principal Marketing Manager, Zev Wisotsky, Ph.D. sheds light on how Revvity brings scientific data analytics to visual life. https://lnkd.in/gH_856ay #bioinformatics #cheminformatics #dataanalytics #analytics #modeling #artificialintelligence #ai #drugdiscovery #computation #software #revvitysignalssoftware #revvitysignals #revvity
AI & Analytics for Next-Gen Drug Discovery Solutions with Zev Wisotsky, Revvity Signals - PharmaFeatures
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Check out this interview from Zev Wisotsky around AI & Data analytics in next gen drug discovery informatics solutions
Amidst the deluge of data, finding the right balance between working models and useful insights remains pivotal in forging the path toward leveraging computational success in the field of biotech and pharma. That's where Revvity Signals Software comes in! Revvity Signals Software has more than three decades of providing unrivaled support for scientific workflows. Revvity's powerful solutions are used across R&D disciplines from drug discovery to specialty chemicals material development. In this latest PharmaFEATURES Interview Special, Revvity Signals' Senior Principal Marketing Manager, Zev Wisotsky, Ph.D. sheds light on how Revvity brings scientific data analytics to visual life. https://lnkd.in/gH_856ay #bioinformatics #cheminformatics #dataanalytics #analytics #modeling #artificialintelligence #ai #drugdiscovery #computation #software #revvitysignalssoftware #revvitysignals #revvity
AI & Analytics for Next-Gen Drug Discovery Solutions with Zev Wisotsky, Revvity Signals - PharmaFeatures
pharmafeatures.com
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While AI is revolutionizing drug development, it’s crucial not to lose sight of the fundamentals. As the integration of AI into pharma accelerates, balancing innovation with a strong foundation in scientific rigor, data quality, and human oversight will be key to fully realizing AI’s potential in transforming healthcare. #AI #DrugDevelopment #PharmaInnovation #LifeSciences #HealthcareTechnology #DataScience #AIinHealthcare
Opinion: To Realize AI’s Benefits, Don’t Lose Sight of Fundamentals
biospace.com
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A lot of insightful articles have already been written around the recently announced Recursion/Exscientia merger in the AI drug discovery space, including the great comments from In-Silico's Alex Zhavoronkov, and more recently from STAT's Allison DeAngelis. Both posts are very much worth checking out (STAT is behind a paywall unfortunately). I'm now very curious to see how the AI drug discovery space will evolve. Will it become more of a dedicated SaaS or CRO type-play to other companies, or will we revert back to the "traditional" biotech drug-development model all the way to phase II, just with AI enablement? I personally would be willing to rather bet on the latter, as most of the molecules will eventually be picked up by big pharma anyhow, and the valuation model for compounds is so much more established than for AI tools. This, if you believe the STAT article, is clearly the route that Recursion will be taking, after, as nicely reported by STAT, the earlier stage discovery partnerships with pharma are still somewhat tricky. Furthermore, until we truly have foundational biology models (which depending on who you ask is still 5-10 years away), the role of the wet lab and traditional chemistry and large molecule development skills shouldn't be underestimated, AI still only gets you so far (though it can help optimize many of the steps in the journey). Would love to hear your thoughts on this topic. https://lnkd.in/e9asK4-d https://lnkd.in/etfHC2v2
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Revvity Signals Software stands at the forefront of scientific innovation, offering a comprehensive suite of informatics solutions that anticipate and address the rapid pace of our evolving world. With a focus on proactive problem-solving, Revvity's platform caters to diverse industries, from Pharma and Biotech to Energy & Petrochemicals, empowering researchers to capture, analyze, and leverage data for groundbreaking discoveries and life-changing therapies. Driven by a legacy of excellence and a team of world-class scientists, Revvity Signals Software is renowned for its flagship applications like ChemDraw® and E-Notebook, alongside cutting-edge platforms such as Signals Research Platform and strategic partnerships like Spotfire®. Operating globally and serving over 10 million end-users, their commitment to scientific advancement is evident, making Revvity an indispensable ally for those shaping the future of research and innovation. Learn more about their unparalleled and comprehensive commitment to leveraging computational prowess in this PharmaFEATURES Interview Special with Zev Wisotsky, Ph.D., Revvity Signals' Senior Principal Marketing Director: https://lnkd.in/gQjmjKRs #proventainternational #strategymeeting #drugdiscoverybiology #drugdiscovery #bioinformatics #cheminformatics #dataanalytics #artificialintelligence #modelling #revvitysignals #revvity
Amidst the deluge of data, finding the right balance between working models and useful insights remains pivotal in forging the path toward leveraging computational success in the field of biotech and pharma. That's where Revvity Signals Software comes in! Revvity Signals Software has more than three decades of providing unrivaled support for scientific workflows. Revvity's powerful solutions are used across R&D disciplines from drug discovery to specialty chemicals material development. In this latest PharmaFEATURES Interview Special, Revvity Signals' Senior Principal Marketing Manager, Zev Wisotsky, Ph.D. sheds light on how Revvity brings scientific data analytics to visual life. https://lnkd.in/gH_856ay #bioinformatics #cheminformatics #dataanalytics #analytics #modeling #artificialintelligence #ai #drugdiscovery #computation #software #revvitysignalssoftware #revvitysignals #revvity
AI & Analytics for Next-Gen Drug Discovery Solutions with Zev Wisotsky, Revvity Signals - PharmaFeatures
pharmafeatures.com
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AI has become popular across various sectors, including pharma and life sciences 🔬 However, many companies find their AI models falling short of expectations. Often, the culprit behind the underwhelming AI project results is poor data preparation. In his latest article for PharmaVoice, Matvii Kovtun, our Senior Data Scientist, explores the critical steps in preparing pharmaceutical data for successful #AIIntegration. Dive into: 🔘 Data structure analysis 🔘 Data accuracy 🔘 Data uniqueness checks 🔘 Data existence checks 🔘 Data augmentation Take advantage of this insightful read 🔗 https://lnkd.in/ddW5Y2BD #Avenga #AvengaInsights #AI #Pharma #LifeSciences #DataPreparation
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I recommend another article about Avenga and AI in pharma. Matvii Kovtun Senior Data Scientist writes about how to manage data to effectively use AI in pharmacy and medicine. The journey of fully exploiting the possibilities of AI begins with the first step, which is good data preparation. #Avenga #AvengaInsights #AI #Pharma #LifeSciences #DataPreparation
AI has become popular across various sectors, including pharma and life sciences 🔬 However, many companies find their AI models falling short of expectations. Often, the culprit behind the underwhelming AI project results is poor data preparation. In his latest article for PharmaVoice, Matvii Kovtun, our Senior Data Scientist, explores the critical steps in preparing pharmaceutical data for successful #AIIntegration. Dive into: 🔘 Data structure analysis 🔘 Data accuracy 🔘 Data uniqueness checks 🔘 Data existence checks 🔘 Data augmentation Take advantage of this insightful read 🔗 https://lnkd.in/ddW5Y2BD #Avenga #AvengaInsights #AI #Pharma #LifeSciences #DataPreparation
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The life sciences industry is undergoing a seismic transformation through advancements in AI and generative AI, spanning the entire lifecycle of the industry across drug discovery, launch, manufacturing, and commercialization. In this video, David Staunton, Head of Transformation for Life Sciences Manufacturing at Cognizant, delves into the significant influence of AI on the industry and shares powerful examples of where this technology is already making a profound impact - from accelerating drug discovery with the power to increase a pharma company's ability to analyze molecules from 1,000 a year to 50 billion; to reducing the cost of clinical development; and enhancing communication with healthcare professionals and patients about the efficacy of the medicine. Watch the short video below and access the full interview here: https://lnkd.in/ezPjHpD6 #AIinPharma #PharmaAI #DigitalPharma #LifeSciencesTech #AIDrugDiscovery
Gain industry insights into the impact of traditional and generative AI in pharma manufacturing
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In an exclusive interview with ET Pharma, ZS CEO Pratap Khedkar explores how generative AI is transforming the pharma industry. From optimizing drug discovery to personalizing patient care to streamlining supply chains, these innovations are driving remarkable efficiencies while addressing critical challenges across the pharma value chain: https://bit.ly/4jggqBb #PharmaInnovation #DrugDiscovery
Generative AI to deliver $1.8 billion boost for pharma: ZS CEO Pratap Khedkar - ETPharma
pharma.economictimes.indiatimes.com
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