S&P Global: ‘Pharmaceutical companies have good reason to seek to obscure the contribution of #AI to their drug development.’ #Pharma
AI in Healthcare的动态
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Interesting read and insights on how AI can and will change the pharmaceutical industry. What are your thoughts on its influence and the potential logistics impact? Happy to discuss further during LogiPharma Asia this week. https://lnkd.in/edNTvF5i
7 ways artificial intelligence can boost the pharmaceutical industry
maersk.com
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Director - Product Development | Logistics Professional ?? | Life Science and Healthcare Logistics Expertise?? ???? | Leadership
Interesting read from my colleague about 7 ways artificial Intelligence can boost pharmaceutical industry. We are available to support you in that journey. https://lnkd.in/eq3JWeEq
7 ways artificial intelligence can boost the pharmaceutical industry
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1. Generative AI is transforming drug development in the pharmaceutical industry, accelerating the discovery and validation of new drugs. 2. It allows for faster analysis of large datasets, reducing the time needed for research from months to weeks. 3. GenAI enhances efficiency for knowledge workers by assisting in tasks like creating marketing materials and summarizing documents. 4. In clinical trials, GenAI organizes and interprets vast amounts of data, improving the quality and reliability of results. 5. The role of software in pharma is evolving, necessitating a focus on software engineering to integrate digital health tools with drug development. 6. Concerns about job displacement due to GenAI are addressed by emphasizing new opportunities and innovation rather than job losses. 7. The Chief Digital Officer's role is becoming increasingly important in navigating digital transformation and ensuring alignment with strategic goals. 8. Staying ahead of Generative AI trends is crucial for CDIOs to drive innovation and maintain a competitive edge in the pharmaceutical sector.
How Generative AI and the Role of the CDO are Shaping the Future of Pharma — WebProNews
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For AI to create differentiated value in the R&D process, the pharmaceutical industry needs to go back to the basics of data and digital transformation. #AI #LLModels #machinelearning #digitaltransformation #pharmacology #dotmatics
Don’t Get Distracted By AI, Instead Focus on Intellectual Property
pharmexec.com
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Attempting to fix the Drug Approval Process via AI|Reader of Texas and Arizona Politics|Golf???♂?Boxing ??|Writer of the AI Healthcare Report and Host of the AI Healthcare and Down in The Country Podcasts.
? Great article written by Silvia L. of A.P. Moller - Maersk about the manners in which A.I. can be a huge benefit to the pharmaceutical industry. ?? Other organizations that were mentioned in the article include Eularis Deloitte and Pharmaceutical-Technology. ?? The use of A.I. in the pharmaceutical industry will allow organizations to discover new medications, decrease costs, while improving patient outcomes. Make it a great one today!
7 ways artificial intelligence can boost the pharmaceutical industry
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???? When it comes to the highly competitive pharmaceutical industry, gaining a competitive edge is essential. Companies invest millions of dollars and countless hours into R&D, clinical trials, and regulatory processes. Consulting firms like our client Lifescience Dynamics Limited are key components in the engine driving the industry forward with invaluable insights and recommendations. Read more in this Fortune article by Stephanie Cain.?https://bit.ly/48BnstT #Pharma #LifescienceDynamics #Biotech?
Behind big pharma is big intelligence
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Pharma and Biotech Entrepreneur raising the bar in #ai and #ml to de-risk drug development | Clinical Trial Supply Chain Advisor | Founder | Avid Cyclist
Intelligencia AI is providing the Aplha pharmaceutical companies have been asking for. Learn more about our approach in this great article fresh from the press in Fierce Pharma.
Patented AI Platform Identifies Promising Early-Stage BioPharma Assets and Companies
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Evolving with the media landscape | Believe in the ethics of journalism ?? the power of integrated communications ?? the importance of data ?? and the willingness to adapt ?? Not everyone is a storyteller.
The world's top pharmaceutical companies tap this group of consultants to provide AI-driven intelligence to get drugs to market faster. #artificialintelligence A competitive advantage is necessary for success across industries, but maybe nowhere so much as #pharmaceuticals, where companies spend millions of dollars and thousands of hours researching how to get their developments through clinical trials and onto the market before their competitors. But they don’t do it alone. Behind the top pharmaceutical companies, as well as smaller biotech firms, consulting agencies like?Lifescience Dynamics Limited?provide third-party credibility from dozens of academic scholars and analysts and, more important, supply valuable tools to provide pharma companies with insights and recommendations to speed up the development of their products and gain FDA approval. “Pharma is a data-driven business,” explains Hussein Jaafar, a senior consultant at Lifescience Dynamics, who has largely led the charge on the team’s adoption of artificial intelligence. “To be able to consult our clients, we need to have access to as much data as possible.” Here's how it's done in my latest for Fortune.
Behind big pharma is big intelligence
fortune.com
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This past June was our biggest quarter yet, bringing in a number of incredible new customers, including another from the pharmaceutical industry. When we launched, AI wasn’t a top priority for this vertical, but that’s not the case anymore. Our latest client has an entire group whose sole purpose is to integrate AI into therapeutic practice and research. It's pretty incredible to see these initiatives develop and proliferate. We can feel the market pull for our product - it’s palpable. Companies are concurrently reaching the same conclusion - they need us! They want to make AI a reality. They need better observability and increased access to data assets. They want to improve data governance and data quality. This is the “new norm.” And we like it ??.
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