Thank you Genetic Engineering & Biotechnology News for writing about our breakthrough in automated chemical synthesis! #drugdiscovery #artificialintelligence #innovation https://lnkd.in/g8-MXgvK
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There's an old proverb that says "iron sharpens iron" - basically we learn from seeing others put something into practice and it inspires us to take the next step. At this year's SLAS meeting I had the chance to meet up with Derrick Miyao from DeepCure to chat about his recent work (described in this GEN article). Having built an automated synthesis platform for one of our customers it was interesting to see another implementation. These platforms hold the promise of being able to go from ideation to synthesis within minutes. We're looking forward to seeing what standards and precompetitive technologies emerge to make these platforms part of the standard kit of most drug discovery labs. #cheminformatics #automatedsynthesis #drugdiscovery
Progress in early small molecule discovery often depends on how fast and how many molecules and hypotheses you can test. That's why DeepCure is automating the synthesis of complex compounds. Learn more in Genetic Engineering & Biotechnology News. https://lnkd.in/gW_eJxKc
DeepCure's Automated Synthesis Transforms AI Drug Designs into Testable Compounds
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"As we step into 2024, the biotechnology industry stands at a pivotal point, driven by rapid advancements in technology and shifting market dynamics. The past few years have been transformative, with groundbreaking innovations reshaping the landscape of healthcare, drug development, and beyond. Labiotech reached out to industry experts to get their thoughts on the trends that will shape the biotech field in 2024. From artificial intelligence (AI) to RNA technologies, here are some of the biotech trends to keep an eye out for in 2024." #RNA #genomics #biotechnology #technology #drugdiscovery #2024trends
The trends that will shape the biotech industry in 2024
https://www.labiotech.eu
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Thibault GEOUI from Logica shares insights on AI-driven drug discovery with Genetic Engineering & Biotechnology News. Discover how integrating #AI can offer more certainty in less time. Read the full article and see how the future is unfolding. https://okt.to/POmLtY #AI #drugdiscovery #logica
AI is altering the future of drug discovery for the better. Read how in this GEN article.
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One of my favorite topics, in a summarized form. Reach out if you'd like to learn more and discuss further on how we can use network approaches in drug discovery. #networkbiology #computationalbiology #machinelearning #drugdiscovery
Inference of gene regulatory networks through transcriptomics
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𝐀𝐧 𝐔𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐏𝐃𝐅 𝐆𝐮𝐢𝐝𝐞 𝐎𝐧 𝐦𝐢𝐑𝐍𝐀 𝐓𝐨𝐨𝐥𝐬 & 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐌𝐚𝐫𝐤𝐞𝐭👉https://lnkd.in/dGg4-6mN miRNA tools and services refer to a range of bioinformatics software, databases, and laboratory services specifically designed to study microRNAs (miRNAs). miRNAs are small non-coding RNA molecules that play crucial roles in post-transcriptional gene regulation, and they are implicated in various biological processes, including development, differentiation, and disease. 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 🔑🗝 Thermo Fisher Scientific, QIAGEN, Horizon Discovery, NanoString Technologies, Inc., Merck KGaA, Darmstadt, Germany, Takara Bio USA, Inc., LGC, BioGenex, GeneCopoeia, New England Biolabs 𝐌𝐚𝐫𝐤𝐞𝐭 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 ●On 17th October 2023, Thermo Fisher Scientific had intentions to invest $3.1 billion in acquiring Olink Holding AB, aiming to broaden its range of life sciences offerings that contribute to drug discovery efforts. ●On 9th November 2023, QIAGEN unveiled new QIAcuity digital PCR kits along with enhanced software, aiming to assist biopharmaceutical and food safety customers in expanding their application capabilities. 𝐀𝐬𝐤 𝐎𝐮𝐫 𝐄𝐱𝐩𝐞𝐫𝐭 👉 https://lnkd.in/dYM6iCYU HTF Market Intelligence Consulting Pvt Ltd DKS Global Research #mirnatoolsandservicesmarket #mirnatoolsandservices
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DataHow COO, Michael Sokolov, recently spoke to Genetic Engineering & Biotechnology News about how AI is a key enabler for advanced therapy manufacturers in bringing their products to Market. In the interview, Michael describes how AI will: - Play an enabling role in the development of less established processes - Help make these therapies more affordable by driving down costs - Help speed to market, crucial for personalised care To make these therapies commercially viable and obtainable, the industry must learn and develop faster than ever. AI technology is a key part of this story and the broader drive towards industry 4.0. Read more about the subject below. #biopharma #bioprocessing #datanalytics #artificialintelligence #machinelearning #pharmaindustry #genetherapy #celltherapy
AI Can Help Accelerate Commercialization Strategies
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The biotechnology sector is at a turning point as 2024 gets underway, propelled by improving technological progress and shifting market conditions. The last several years have been very unique, with ground-breaking discoveries shaping the face of medicine, drug discovery, and diagnostics. Here are some biotech trends to watch in 2024, ranging from RNA technologies to artificial intelligence (AI) that can have measurable effects on the industry: #Biotechnology #Genotyping #PCR #AI #PoweringBetterPCR
The trends that will shape the biotech industry in 2024
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Genetic Engineering & Biotechnology News covers Atomwise’s recent paper in Nature Scientific Reports. In the paper published in Scientific Reports titled, “AI is a viable alternative to high throughput screening: a 318-target study,” AtomNet was applied to 318 targets identified from collaborations from over 250 academic labs across 30 countries. The platform successfully identified structurally novel hits for 235 of 318 targets evaluated, and provided a success rate of 74%, an improvement upon literature estimated HTS success rates of 50%. “It’s important to be able to go into novel parts of chemical space because if you want to help patients, you have to be meaningfully differentiated in the clinic,” said Abraham Heifets, CEO of Atomwise, highlighting that such differentiation comes from providing first-in-class strategies when no treatment exists or improving upon existing strategies. Read the article: 👇👇 https://lnkd.in/e9UEzscc #AI #drugdiscovery
Flipping the Script: Atomwise AI Platform Presents an Alternative to High Throughput Screening
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Senior Business Editor at Genetic Engineering & Biotechnology News, Inside Precision Medicine and Mary Ann Liebert Inc,
23July: How does Flagship Pioneering’s latest startup to emerge from stealth address the downsides associated with biologics and protein drugs that reduce their usability, route of administration, persistence, and tolerability? My latest for Genetic Engineering & Biotechnology News:
Flagship Pioneering Unveils Abiologics with Focus on "Supranatural" Biologics
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A great article (see link below) by our colleague, Thibault GEOUI, on AI-driven drug discovery. One particular comment that struck true to me was that "AI augments rather than replaces human expertise." Combining our knowledge in AI with our wet science approaches and expert drug hunters, gives us the best shot to provide a comprehensive approach to drug discovery. www.logica.ai #logica #ai #aidrugdiscovery
Head of AI/ML for Drug R&D 💡- I reimagine 🧠 life sciences ❤️ and drug R&D 💊 with (FAIR) data 📊 and (AI) 🤖 technology
Hot off the press: "Synthetic Dreams: Data and AI Catalyze Drug Innovation" - my latest article in Genetic Engineering & Biotechnology News Read the article 📖 below 👇 👾 What we considered not so long ago SciFi is becoming a reality 🤖 Learn about the current progress and limitations of #AI-derived drugs 💊 in the clinic 📊 How we are reimagining #DrugRnD with the help of #data and #technology ♻️ How the #LabInTheLoop is already impacting the outcome of AI-driven drug R&D 😎 And how to navigate the hype surrounding #GenerativeAI in #Pharma https://lnkd.in/gEmxfeBN
Synthetic Dreams: Data and AI Catalyze Drug Innovation
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CDMO Business Development in Pharma and Biotech Industries
2moLike the comments and "golden age" reference tbd right? As long as we use the data to make good science choices and not the next 10MM amides, sulfonamides, and count the metric than I'm all in (dont make methyl, ethyl if you need cycloproyl to answer the question! Combo of better chemistry automation with better compound building should be the mantra -- good luck!