Corner Alliance’s Post

🤖Imagine a world where predicting the next breakthrough in drug discovery is as easy as typing a few numbers into an algorithm. This is the future that #AI promises in the pharmaceutical industry! I've been fortunate enough to witness the incredible strides AI has made. I'm thrilled by the potential it has to revolutionise the field of drug discovery. AI holds the key to drastically reducing time frames, making drug discovery faster and more efficient. Rather than years or decades to identify new drugs, AI can analyse millions of data points and predict potential candidates in mere months. Beyond speed, AI brings accuracy. It helps identify possible side effects early on, even before any #clinical trials. This has immense implications for patient safety and dramatically reduces the overall cost of drug development. The future of drug discovery is here, and it's powered by artificial intelligence. Are there any AI-based solutions your company is leveraging in the drug discovery process? If not, are you ready to dive into this game-changing technology? Let's change the world, one algorithm at a time!

🌐 In continuation of my previous article on “🚀 How Generative AI is Pioneering Transformations in Business and Technology?” I have the below case where the implementation of Gen AI in the Pharma client's operations resulted in tangible benefits that directly impacted profitability and Return on Investment (ROI): 🎯It reduced the time taken in the drug discovery process and clinical trials which significantly cut the time it took to bring a new pharmaceutical drug to market. This accelerated quicker revenue generation for the business. ⏱️💊💰 🎯Huge costs in R&D reduced due to the predictive capabilities of Gen AI, allowing the Pharma client to focus their resources optimally on the most promising drug and streamline the clinical trial process. This reduced unnecessary expenses, thereby improving profitability. 💡💰 🎯Gen AI helped the Pharma client minimise production delays and manage inventory more effectively, thereby optimising the supply chain. Not only did it help lower operational costs, but it also prevented the client from revenue losses due to stock-outs or overstock situations. 📊🔄💼 🎯With revolutionary technological developments and the implementation of personalised medicine features as per Patient’s Data in Gen AI, it revolutionised the way patients can be dealt with. Not only did it improve patient outcomes, but it also enhanced the marketability of pharmaceuticals, leading to increased sales and profitability. 🌐🏥💻 🎯Gen AI minimised the risk of costly legal issues and regulatory setbacks, which was a burning problem for Pharma clients, thereby contributing to a more stable operational environment, safeguarding Pharma clients’ investments, and supporting long-term profitability. 🔒💼💰 Ready to revolutionise your pharmaceutical operations and boost profitability with Gen AI? 🚀💊 Connect with me to share your thoughts, explore collaborations, or discuss how we can elevate the conversation. The journey to redefine industry standards awaits – lets lead the way! 🌟🤝 #AIInnovation #ThoughtLeadership#Transformation#Business

The $250bn #AI opportunity in the pharma industry to realize the #futureofhealth: Our latest report reveals how #pharma companies can harness the power of AI to improve processes, increase profitability, and drive innovation. Find out more: https://lnkd.in/erjcVymK

For #AI to be efficient data should not reflect your or-chart ... let me explain. Currently, many AI tools are implemented within company's siloes ... hence they can only improve "narrow" processes, but do they really improve the overall output of a company? Case in point: the Pharmaceutical industry - 📌 AI tools have been implemented in Pharma R&D for many years, yet, the overall output / efficiency is still terrible. Projects still fail 95% of the time 📌 Why? because most AI projects replicate the org chart of the company (research, development, marketing ... and all the sub-division within those large organizations) 📌 For AI to work well, #Data need to flow seamlessly ... which is often not the case in traditional organizations (because of legacy systems, complexity of the organization, lack of alignment, lack of vision .... you name it!) #LiberateTheData

A machine is only as smart as the person using it. AI will never replace any type of skilled labor; it will only assist the skilled worker in completing their work more effectively, just like the steam engine did for sailors or the cellular phone did for corporate executives. You can ignore AI (and be left in the dust), rely on AI (and only think you're keeping up), or utilize AI (and lead the pack into the future). Make your choice now.

The $250bn #AI opportunity in the pharma industry to realize the #futureofhealth: Our latest report reveals how #pharma companies can harness the power of AI to improve processes, increase profitability, and drive innovation. Find out more:

Proficiency in interacting with Generative AI (Gen AI) has become a critical skill across various industries. 88% of technology and analytics leaders acknowledge the significant and immediate benefits that Gen AI contributes to their operations. How did this technology evolve, and what are its applications in the pharmaceutical and life sciences sectors?

Labyrinth Digital's #AI tool, VAIRAM, leverages machine learning algorithms to help identify potential #trialparticipants with unprecedented speed and accuracy. AI's ability to sift through vast amounts of proprietary data is a game-changer for the pharmaceutical industry. VAIRAM can analyze complex patterns in electronic health records, genetic data, and social media activity to identify candidates who are not only eligible for a trial but also likely to stick with it to completion. This is crucial, given that dropout rates in clinical trials can be as high as 30%. AI can also help address one of the most pressing issues in #clinicalresearch: lack of diversity. By analyzing diverse datasets and identifying #underrepresentedpopulations, AI can ensure that clinical trials reflect the real-world patient population. This is not just an ethical imperative – it's essential for developing drugs that work for everyone. But why should #pharmaceutical companies act now? The answer is simple: the early bird catches the worm. As #clinicaltrial regulations become more stringent and competition for participants intensify, companies that integrate AI into their trial recruitment and retention strategies will streamline R&D processes and save lives by bringing new treatments to market faster. The tools are here. The data is waiting. The only question is: are YOU ready to revolutionize clinical trials with AI? Contact us to view the demo.

Join me to discuss ongoing challenges and solutions in AI implementation in pharma!

AI - Interesting times ahead...Just heard interview w/ CEO of SANOFI (global Pharma firm, $49B rev, 90k+ employees) & one of their uses of AI - on his phone, an AI Solution the equivalent of 60,000 people doing analysis on 14 million spreadsheets...everyday and real time...130 TB of data...no human involved in the actual analysis. AI rewrite: Interesting times ahead for the pharmaceutical industry! The CEO of Sanofi, a global Pharma firm generating $49B in revenue, has shared their use of AI. With an AI solution installed on his phone, he's able to analyze 14 million spreadsheets daily and in real time, equivalent to the work of 60,000 people. The analysis is conducted on a massive 130 TB of data, with no human involvement required. It's amazing to see how AI is being utilized to transform industries and streamline processes. #AI #PharmaIndustry #Sanofi #DataAnalysis