BenevolentAI’s Post

An exciting look at cases being explored at AstraZeneca showcasing the potential benefits of combining #QSP with AI and machine learning, and how it’s paving the way for a paradigm shift in drug development 👉 https://lnkd.in/ejHZ2kjn #pharma #biotech #artificialintelligence #ai #drugdevelopment #research #machinelearning #qsp #pharmocology #modelling

I'm pleased to share an article I co-authored with Rajeev Bhardwaj and Suraj Gupta, highlighting how Generative AI is revolutionizing pharmaceutical research. The article delves into traditional research methods, their challenges, and the potential of generative AI-based research tools. Read the full article here - https://lnkd.in/gHPPcQBD #PharmaceuticalResearch #GenerativeAI #HealthcareInnovation #AI #DataScience

One of the most important applications of AI is in Life Sciences. Together with the Polish Bioinformatics Society, we have been organizing conferences on Bioinformatics in Toruń (BIT) for almost 20 years. It will take place on 6-7.06, and I will give a provocative talk, "Large Multimodal Models and Artificial Consciousness." One day earlier 5-6.06 ISPE Poland, the International Society for Pharmaceutical Engineering, will organizing a conference on Artificial Intelligence and its use in Pharma. Throughout this event, many guests from Universities, Pharmaceutical companies, vendors that support them, and also Polish regulators will be present. The conference will discuss Fundamentals on AI, Educational Paths, AI use cases, discussion panels, and more! I will open it by talking about "AI in Life Sciences." https://lnkd.in/eKYbBw55

Unlocking New Horizons in Medicine! Generative AI is revolutionizing drug discovery by accelerating research, predicting potential compounds, and transforming the landscape of healthcare. 🧬💊 Explore the boundless possibilities with Generative AI! #DrugDiscovery #InnovationInHealth #GenerativeAI #pharma #futureofpharma https://lnkd.in/gmdr2KNX

The biopharma industry is constantly evolving. With over 270 AI-driven companies in the drug discovery space as of 2023, it has become clear that artificial intelligence and machine learning are two major factors that will lead to major pivots in the industry in the near future. Learn more about AI and ML, as well as the biopharma companies who are already making major strides with the technology, https://lnkd.in/gXYmqtyN #AI #artificialintelligence #machinelearning #technology #biopharma #biopharmaceuticals

Applying AI, particularly machine learning and neural networks, transforms how new therapies and treatments are discovered. AI tools can predict protein structures, streamline compound screening, uncover data patterns, and even generate tailored drug compounds. What does this mean? Faster, cheaper, and more effective drug development. AI has the potential to significantly cut costs and save precious time across all stages of the process. As the pharmaceutical industry evolves, AI offers invaluable assistance to expedite life-saving and life-enhancing drug delivery. We foresee a future where AI optimization makes drug discovery faster and more affordable and gets novel treatments into the hands of patients sooner. For more information regarding how AI is affecting the pharma industry, visit here: https://lnkd.in/gfwxnBjd #AIinHealthcare #DrugDiscovery #Pharmaceuticals #Medicine #MedicalResearch #PrecisionMedicine #MachineLearning #NeuralNetworks

First AI generated and first AI discovered drug reaches Phase II clinical trial. According to Insilico founder and CEO Alex Zhavoronkov, the drug is the first where the target was discovered and prioritized using biology AI, while the molecule was generated using generative chemistry AI. The company used its platform, Pharma.AI, which includes multiple AI models trained on millions of data samples for a range of tasks. One of its tools PandaOmics, rapidly identifies and prioritizes targets that play a significant role in a disease’s effectiveness. Another, the Chemistry42 engine, using deep laerning, can quickly design new potential drug compounds that target the protein identified using PandaOmics #AI #drugdiscovery #drugdevelopment https://lnkd.in/ezbjbzwh

Sensible commentary from Derek Lowe on the recent announcement of a $1 billion first financing for a new AI drug discovery company. In this piece Derek echos something Spring Behrouz and I have talked about since before forming Vincere Biosciences - really the reason we started drug discovery in the first place - that the best AI opportunity is in matching targets to patients. The human medicinal chemists continue to outperform AI in molecule design, partially because the AI can't score its predictions without the same long/slow real-world experiments that bottleneck the humans. Most programs fail preclinically for unexpected toxicity from modulating a target, or in the clinic because modulating that target doesn't actually improve the disease condition. Better integration of emerging understanding of human disease state and the way biological systems behave can lead to investing in targets more likely to safely work to stop the disease process. With new manuscripts now coming at a blistering 1.3 million/year, and that just a glimpse into the trillions of data points coming out of multi-omic techniques, humans clearly need some automation to help put together the puzzle pieces. The aim of AI in drug discovery should be to augment not replace human intelligence, and all hypotheses must be assessed in the real world regardless of which neurons they spring from. https://lnkd.in/eSjRcqar

🔬✨ Dive into the Future of Pharma! 🚀 Explore "Revolutionizing Drug Discovery: The Impact of AI and Machine Learning in the Pharma and Biopharma Industry" on TheWord360! 🤖💊 Discover how cutting-edge AI and Machine Learning are transforming the landscape of drug development. 🌐🧬 Ready to witness the next era in healthcare innovation? Click the link below! 🔗🔍 #PharmaInnovation #AIinHealthcare #BiopharmaRevolution #MustRead 📖💡 https://lnkd.in/d6JStAdV

The pharmaceutical industry has undergone a significant transformation with the emergence of artificial intelligence (AI), revolutionizing the approach to complex biological challenges. AI has ushered in a new era of collaboration between algorithms and scientists, accelerating drug research and development and potentially saving lives. From personalized medicine to decoding DNA mysteries, AI has become a crucial ally in reshaping the pharmaceutical landscape. Have you seen AI used in the pharmaceutical industry?