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Drug development is a time-consuming and costly process, typically taking an average of 12-15 years for a drug to reach the market. A range of AI tools is now revolutionising nearly every stage of drug development, offering significant potential to accelerate the process and reduce the costs, thereby reshaping the pharmaceutical industry. These tools harness machine learning algorithms to analyse vast datasets, identify potential drug candidates much faster than traditional methods, and optimise trial designs to improve success rates. This expedites the otherwise time-intensive process and positively impacts the cost involved in drug development. By leveraging AI, it is possible to bring effective treatments to market more swiftly and efficiently. This technological shift not only streamlines operations but also holds the potential to drastically change the pharmaceutical industry, making drug development innovative and less prohibitive. Let’s understand this process of drug development where AI tools provide critical support. #Turacoz #AIMW #AI #drugdevelopment #medcomms

“AI in Pharmaceutical Supply Chains and Manufacturing - with Laks Pernenkil of Deloitte” https://lnkd.in/e9xbFbgd The field of drug development and clinical trials is rapidly evolving towards a personalized, data-centric approach, necessitating the adoption of sophisticated artificial intelligence (AI) solutions. These AI technologies are critical not only for streamlining clinical trials and enhancing drug development but also for broader applications such as demand forecasting, quality control, and optimizing the supply chain. The effective use of AI is increasingly becoming a cornerstone for pharmaceutical companies aiming to maintain and improve their competitive advantage through superior supply chain management. In a noteworthy conversation, CEO and Head of Research at Emerj Artificial Intelligence Research Daniel Faggella and Laks Pernenkil, Life Sciences Principal at Deloitte, delved into the transformative impact of AI and data analytics on the supply chain within the life sciences sector. #AI #DataAnalytics #Pharmaceuticals #ClinicalTrials #DrugDevelopment #SupplyChainManagement #MachineLearning #GenerativeAI #QualityControl #DemandForecasting #LifeSciences #Innovation #StrategicInvestment #OperationalEfficiency #PatientCare

A really interesting read in Pharmaceutical Journal Publications by Rachel Brazil spotlighting some exciting ways #AI is being used and investigated in #Pharmadevelopment. Key points include: • Many companies, including start-ups, are leveraging AI to provide routes to new targets and in 2023, 46 AI-discovered drugs reached phase II and III clinical trials. Will they open the floodgates to approval for AI-discovered drugs? • Benevolent AI’s platform connects structured data from clinical and chemical databases, and unstructured data taken from the scientific literature. It's CSO said this gives them “an enormous hairball of interconnected facts” which would be “way too fast for a human to navigate.” • Most large pharma companies have engaged AI in their drug discovery pipelines, though they may not be sharing the extent of use due to IP issues around the patentability of AI-discovered drugs. However, getting data prepared is still an issue they contend with. • The use of AI in clinical trial design is gaining momentum, with companies like GSK using AI to stratify patient populations and design clinical trials that are more likely to succeed. Read the full article here: https://buff.ly/3NefI8H

Artificial Intelligence (AI) and Pharmaceutical Industry Artificial intelligence (AI) is used in many steps of pharmaceutical development, including drug discovery, clinical research, manufacturing, and postmarket safety surveillance. Improve processes AI can help companies identify learnings and improve processes to optimize distribution channels, storage and shipping conditions, and provide broader access to medicines. Enhance Data AI can help companies reshape business models, streamline manufacturing, and enhance clinical trial data flow and cognitive molecule research. Engage with Stakeholders AI can help companies engage more authentically and personally with patients, health care professionals, and other stakeholders. Increase Efficiency AI can increase efficiency in operations, R&D, and commercial, and speed up and increase efficiency in supporting processes like legal and compliance, finance, HR, and IT. Respond to Market Conditions AI can help cross-functional launch teams see trends that might otherwise be invisible, and respond faster to help deliver a competitive advantage. #HealthCare #Pharmacy #Pharmaceutical #ClinicalTrials #DrugDesign #AI #ML

With the average cost of developing a new drug rising significantly, there is a growing urgency to leverage AI to streamline various stages of research and development. AI offers opportunities to reduce costs and improve the speed of drug discovery, particularly in areas such as screening new drugs. By incorporating AI into drug development, pharmaceutical companies can enhance their competitive edge, increase efficiency, and potentially improve the success rate of drug candidates in clinical trials. The collaboration between AI startups and pharmaceutical companies is crucial in leveraging AI-driven insights to make informed decisions, secure funding, and accelerate the development of life-saving therapies and treatments. AI technologies, such as large language systems, can also play a vital role in areas like regulatory intelligence, ensuring compliance with evolving regulations and reducing the risk of non-compliance. Thoughts? #DrugDevelopment #AI #AIHealth

𝐀𝐈 𝐢𝐧 𝐏𝐡𝐚𝐫𝐦𝐚: 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬, 𝐄𝐦𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 Artificial intelligence (AI) is revolutionizing the 𝐩𝐡𝐚𝐫𝐦𝐚𝐜𝐞𝐮𝐭𝐢𝐜𝐚𝐥 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 by speeding up research and development and optimizing workflows. However, creating reliable AI models for such complex environments comes with significant challenges. From stringent regulatory requirements to the need for transparency, the 𝐩𝐡𝐚𝐫𝐦𝐚 𝐬𝐞𝐜𝐭𝐨𝐫 must address these hurdles to realize AI's full potential. But it’s not all obstacles. The advantages of implementing AI—enhanced efficiency, personalized treatments, and cost savings—far outweigh the challenges when deployed effectively. In our latest article, Fausto Artico, PhD and Kevin Harrigan dive deep into the critical challenges AI faces in pharma and share actionable solutions. Learn how to scale AI models to unlock powerful advantages for your company! 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/g8Cy5spR 𝐕𝐢𝐬𝐢𝐭 𝐏𝐡𝐚𝐫𝐦𝐚 𝐅𝐨𝐜𝐮𝐬 𝐀𝐬𝐢𝐚: https://lnkd.in/dxkGndFf #aiinpharma #pharmaceuticals #healthcareinnovation #aimodels #pharma #airegulation #pharmatech #digitaltransformation #artificialintelligence #datascience #machinelearning #medtech #healthai #futureofpharma #drugdevelopment #pharmafocusasia #pharmafocus #pharmaceuticals #biotechnology #pharmafocusarticles

Exploring the transformative potential of generative AI in the pharmaceutical sector – from hype to reality. Embracing innovation for enhanced efficiency and outcomes. #pharma #innovation #sciences #ai #medicine

According to Precedence Research, the global pharmaceutical AI market will reach over USD 11,813.56 million by 2032 📈 This surge underscores the transformative potential of AI models in reshaping business models, streamlining processes, and enhancing areas like drug research and clinical trial management. Yet, to harness the true power of AI, one crucial foundation is necessary: proper data preparation. 📩 Join us as Matvii Kovtun, our Senior Data Scientist, explains the stages of preparing pharmaceutical datasets for AI consumption to ensure reliable results. Read our latest article to learn practical insights: https://lnkd.in/dPuD9QZD #Avenga #AvengaInsights #AIinPharma #DataPreparation #PharmaceuticalInnovation

Are you looking to stay ahead of the curve in the pharmaceutical industry?💊 Our latest newsletter is packed with insightful articles on the top trends shaping the industry in 2024. Inside, you'll find: ➡️ Top Trends: Discover the key factors driving change in the pharmaceutical landscape. ➡️ AI and Technology: Learn how AI and new technologies are revolutionizing drug discovery and development. ➡️ Social Media Insights: Understand how social media is providing valuable insights into HCP sentiment. Don't miss out on this valuable resource. https://shorturl.at/nVAKq #PharmaceuticalIndustry #IndustryTrends #AI #Technology #SocialMedia #HCP #Healthcare