Prof. Dr. Eleonore Soei-Winkels, Founder, CEO, Creator and Mom’s Post

Check out this article on use of #AI in Big Pharma featuring Unit8ers. https://lnkd.in/dGavHzXr 👈 Thanks Handelsblatt and Jakob Blume! Áron Horváth Michal Rachtan Unit8

🚀 Revolution in Drug Development through Artificial Intelligence (AI) 🌟 The field of drug development is on the brink of a revolutionary transformation! Thanks to advancements in Artificial Intelligence (AI), we can now develop new drugs faster and more efficiently. This means not only shorter development times but also more precise and individualized therapies for patients. 🧬💊 Why is this important? - Faster Development: AI can analyze vast amounts of data in a short time, identifying potential compounds that might otherwise be overlooked. - More Precise Therapies: By analyzing patient data, AI can create personalized treatment plans tailored to the specific needs of patients. - Cost Reduction: More efficient processes mean lower costs, ultimately benefiting the patients. A Glimpse into the Future Integrating AI into drug development is just the beginning. In the future, we could see even faster and more accurate diagnoses and therapies developed specifically for patients' genetic profiles. 🌐🔬 Learn more about this exciting development and how it will shape the future of medicine. Read the full article by @Digital Health Industry https://lnkd.in/efYFFP9x and stay updated on the latest trends in the healthcare industry. 📈✨ This article was written by Konstantin Pfliegl and provides deep insights into the transformative power of AI in medicine.

Bits & bytes instead of petri dishes & pipettes: a new generation of tech companies is shaking up the pharma industry. Their business model: the design of high-quality drug candidates using #AI. Exscientia $EXAI & Recursion $RXRX https://lnkd.in/etdw5wN6

⭐ Delta4 in the Spotlight: Featured in Finanz und Wirtschaft! --> AI's role in drug development: an informative article in the current Finanz und Wirtschaft News illustrates why Drug Repurposing (where existing drugs are tested for new applications) is a significant area where AI is beneficial. AI-supported solutions have promising potential to transform the drug development space but still face significant challenges and skepticism about their effectiveness and efficiency. Delta4 has been at the forefront of AI-supported technology and we continue to expand our capabilities. Read more here ⬇ https://lnkd.in/dB2U7v6i

🧬💡What Problems Does AI Solve in Drug Discovery and Development? The incredible power of AI is transforming the landscape of scientific research, particularly in drug discovery and development. Here's how AI is addressing critical challenges and revolutionizing the way we approach research 👇🏼: 🌐 Machine learning algorithms play a crucial role in predicting the success of molecules used in clinical trials. This not only accelerates the drug development process but also enhances the efficiency of identifying compounds for targeting various diseases. ⚙️ From predicting molecular interactions to suggesting novel chemical compounds, AI contributes to improved and innovative chemistry. This not only streamlines the drug development process but also fosters the creation of more effective treatments. 📈 By increasing the number of drugs that successfully navigate clinical trials and gain regulatory approval, AI significantly improves success rates. Moreover, AI aids in better patient stratification, ensuring that treatments are tailored to individual needs. Interested in partnerships? Explore opportunities for collaboration and learn more on our website today : https://lnkd.in/dZQTA5cB

This revolutionary AI tool is changing the drug discovery; Reducing costs, increasing speed, and saving lives. Here how this innovation is transforming the pharmaceutical industry. Monash University researchers have developed PSICHIC, an innovative AI tool set to revolutionize early-stage drug discovery by enhancing virtual screening efficiency. Unlike traditional methods relying on costly and complex 3D structures, PSICHIC leverages sequence data to decode protein-molecule interactions with remarkable precision and affordability. Thinking why PSICHIC Matters? - Precision & Efficiency: Accurately predicts interactions between molecules and proteins, a crucial step in drug discovery. - Cost-Effective: Eliminates the need for 3D structures, reducing expenses and time. - Data-Driven Insights: Uses AI to analyze extensive sequence data, providing deeper understanding of drug interactions. Dr. Lauren May's team demonstrated PSICHIC's ability to screen new drug candidates and analyze their potential effects effectively. According to Professor Geoff Webb, this tool sidesteps expensive traditional methods, using AI to identify unique "fingerprints" of interactions. With the data and model freely available, PSICHIC represents a leap forward in accessible, reliable drug discovery technology. For more details, visit PSICHIC Server. Follow me for more such posts. #drugdiscovery #artificialintelligence #innovation #psichic #monashuniversity #biotechnology #pharmaceuticals

Cutting-edge medical technologies are revolutionising the fight against rare diseases. With advancements in genomics, AI, and personalised medicine, we are now able to diagnose and treat conditions that were once considered untreatable. These innovations are not only improving patient outcomes but also providing hope to families affected by rare diseases. One of the most exciting developments is the use of AI in drug discovery. By analysing vast amounts of data, AI can identify potential treatments much faster than traditional methods. This has led to the development of new therapies that are specifically tailored to the genetic makeup of individual patients. Additionally, advancements in genomics have made it possible to identify the genetic mutations responsible for many rare diseases, paving the way for targeted treatments. At Progress Recruitment, we are proud to support companies at the forefront of these innovations. Our expertise in recruiting top talent for the Medtech industry ensures that these companies have the skilled professionals they need to continue their ground breaking work. If you're passionate about making a difference in the fight against rare diseases, we'd love to hear from you. [email protected] #Medtech #RareDiseases #Innovation

What is the most common explanation for the high price of most advanced drugs? The long research time preceding their entry into the market. Will AI reduce drug prices? Because it reduces the time it takes to produce them. Imagine a world where vital drugs are discovered in months, not decades. Sounds too good to be true? Well, generative AI is making this a reality, and it's both exciting and a little unsettling. It's like having a brilliant scientist working 24/7, sifting through millions of possibilities in the blink of an eye. For instance, Insilico Medicine used AI to develop a potential treatment for a deadly lung disease in record time. But it's not just about speed - AI is creating designs that scientists hadn't even considered. With AI potentially cutting drug development costs by 90%, more solutions could become accessible to those who need them most. While the promise of new technologies in drug discovery is significant, there are challenges and concerns to consider. Can you name them? Share your thoughts and let’s talk in the comments. #AI #pharmacy #Innovation

How AI can accelerate drug discovery Drug discovery is a complex and costly process that involves multiple stages, from identifying potential targets to conducting clinical trials. As per insights from Harvard, AI is reshaping the landscape, revolutionizing every stage of this process. Discover how AI accelerates innovation, making the industry swifter and more economical. Target identification: At this phase of drug discovery, AI is being trained on vast datasets, including omics datasets, phenotypic and expression data, disease associations, patents, publications, clinical trials, research grants, and more to understand the biological mechanisms of diseases and to identify novel proteins or genes that can be targeted to counteract those diseases. Molecular simulations: AI minimizes the need for physical testing of candidate drug compounds by enabling high-fidelity molecular simulations that can be run entirely on computers (i.e., in silico) without incurring the prohibitive costs of traditional chemistry methods. Forecasting Drug Properties: Some AI systems are used to predict important properties such as toxicity, bioactivity, and physicochemical characteristics of molecules to avoid simulated drug candidate testing. Drug Design: While traditional drug discovery has historically involved the screening of large libraries of candidate molecules, AI is shifting this paradigm too. Some systems can now generate new and effective drug molecules from the beginning. Drug Prioritization: After identifying a group of promising "lead" drug compounds, AI is employed to evaluate and prioritize these molecules for further assessment, with AI methods surpassing previous ranking techniques in performance. Synthesis pathway generation:  AI-powered technology assists in creating new drugs by suggesting changes and simplifying the process. The potential of AI in drug discovery is limitless, but it's up to us to harness its power. Join the revolution and unlock the future of healthcare innovation. For more information click on https://lnkd.in/denJ5kRC Vijaykant Nadadur Sendhil Kumar Sweta Raghavan #AI #DrugDiscovery #HealthcareInnovation #ArtificialIntelligence #FutureOfHealthcare

Check out my recent article highlighting how AI will change pharmacy and diving into the future of it with some statistics. #AI #Pharmacy #AIinPharmacy #ArtificialIntelligence #DigitalPharmacy #DigitalHealth