Maryam Farrokhnia’s Post

💡 The first AI-developed drug has reached Phase 2 clinical trials 🧪 This milestone marks the first time a drug, entirely designed and developed using AI, has advanced to this stage of human clinical trials. Insilico Medicine used generative AI to identify novel targets and design the drug, showcasing the potential of AI in revolutionizing drug discovery. 🔍 Typically, the journey from preclinical development to human trials can take years, but AI has expedited this timeline, potentially bringing new treatments to market faster. For professionals in the biotech and pharmaceutical sectors, integrating AI into drug development processes could enhance efficiency and success rates. 📃 Source: https://lnkd.in/eDrP5qxs Do you find this development as exciting as I do? Let's discuss 💬 📰 Check out my blog for more on AI and related fields: https://lnkd.in/es_BxAQN #AI #DrugDiscovery #Innovation #ClinicalTrials #TechResearch #Pharmaceuticals #Biotech

Erin Mam Quantum computing can simulate interactions between molecules more authentically, enabling us to predict the activity and safety of drug molecules more precisely during the drug design stage. The Global Quantum Computing in Drug Discovery Market was valued USD 541.0 Million in 2023 and projected to reach USD 2,480 Million by 2030, growing at a CAGR of 24.3% during the forecast period of 2023-2030.

Generative AI is revolutionizing drug discovery by accelerating the pace of finding new medicines and potentially transforming clinical trials. Traditionally, the process has been lengthy and costly, but AI technologies are offering promising solutions. Recent reports highlight a significant uptick in AI mentions by pharmaceutical companies, signaling a shift towards integrating AI into their research and development strategies. According to experts, AI's ability to suggest new drug candidates in record time is a game changer, reducing the timeline from conception to implementation by leveraging rapid data analysis and predictive modeling. This transformative capability not only expedites drug development but also addresses critical challenges like patient recruitment for clinical trials, potentially reshaping how we approach healthcare innovation in the future. #AI #DrugDiscovery #HealthcareInnovation https://lnkd.in/emScA6HE Mikaela Cohen https://lnkd.in/dT9BCERC

This article explores whether AI will live up to the hype in revolutionising the pharmaceutical industry. It looks into key challenges and opportunities, shedding light on the transformative impact AI could have on accelerating drug development. An interesting read for my network, who are navigating the intersection of technology and healthcare. #AI #DrugDiscovery #HealthTech

"The Role of Artificial Intelligence in Drug Discovery and Development" highlights several key areas: 1. **Drug Design**: AI can analyze data to identify drug candidates by predicting molecular behavior and interactions. 2. **High-Throughput Screening**: AI optimizes the screening of compounds against biological targets, speeding up candidate identification. 3. **Predictive Analytics**: Machine learning models forecast drug efficacy and safety, helping prioritize candidates for development. 4. **Clinical Trials**: AI enhances trial design by identifying suitable patient populations and predicting outcomes. 5. **Drug Repurposing**: AI analyzes existing drugs to find new therapeutic uses, accelerating treatment availability. 6. **Post-Market Surveillance**: AI monitors real-world data to detect adverse effects and track long-term drug effectiveness. 7. **Cost Reduction and Efficiency**: Automating drug development stages reduces time and costs, improving overall efficiency. This topic showcases how AI is transforming the pharmaceutical industry, making drug development faster and more effective.

A really interesting analysis here on AI discovered drugs! There is a lot of evidence out there about how long drugs take to get to market (historically 10-15 years) and cost A LOT of money to develop, with the majority (some say 90%) of drug candidates failing during clinical trials and often in phase III. Key takeaways from this article: · AI-discovered drug have been found to have an 80-90% success rate vs the historical average of 40-65% in Phase I trials · Phase II trial averages come down quite quickly to 40% (Comparable to historical phase II averages). · Assuming this trend continues into phase III it could see almost a "doubling of pharmaceutical R&D productivity" from 5–10% to ∼9–18%. Whilst this is all good in theory, recent news of AI-drug hunters struggling paints a more practical picture of the current market. Exscientia as one very recent example announced last week that they'd be cutting roughly a quarter of their staff, having streamlined their pipeline in Q4, 2023. So the question is whether the continued investment into AI drug hunting will be worth it? Time will tell. #uniosearch #drugdiscovery #ai #drugdevelopment #clinicaltrials #industrynews #patientsfirst

The pharmaceutical industry is on the cusp of a major transformation driven by artificial intelligence (AI). Experts predict that by 2030, AI will significantly impact every stage of drug development, from early discovery to clinical trials and post-marketing surveillance. Here's a glimpse into this exciting future: 👉AI-powered drug discovery: AI can analyze massive datasets of biological and chemical information to identify promising drug targets and predict the efficacy of potential candidates. This can significantly accelerate the early stages of drug development. 👉Streamlined clinical trials: AI can optimize trial design by identifying the most appropriate patient populations and predicting potential safety risks. This leads to more efficient and cost-effective trials. 👉Personalized medicine: AI can analyze patient data to predict individual responses to treatments, paving the way for a more personalized approach to medicine. Overall, AI has the potential to revolutionize the pharmaceutical industry, leading to faster development of life-saving treatments and improved patient care. #Planimeter #Future #Medicine #AI #ClinicalTrials

Exciting Times in Drug Discovery! I just published a new blog on how AI is transforming drug discovery! From accelerating target identification and lead compound discovery to enhancing predictive accuracy and streamlining clinical trials, AI is revolutionizing the pharmaceutical industry. Key Highlights: 1. Speeding Up Drug Discovery: AI algorithms drastically reduce the time and cost of identifying and screening drug candidates. 2. Predictive Modeling: Enhanced predictive models simulate drug interactions, improving efficacy and safety predictions. 3. Drug Repurposing: AI-driven data mining finds new uses for existing drugs, cutting down development time and costs. 4. Clinical Trials: AI optimizes patient recruitment and monitors trial progress in real-time. The future of medicine looks incredibly promising with these advancements. Check out the full blog for more details! https://lnkd.in/gBTjMwZg #AI #DrugDiscovery #Biotechnology #Pharma #HealthcareInnovation #MachineLearning #MedicalResearch

Transformative collaboration! 🤝⚡️ Leading pharma companies are now in a race for AI dominance. #AI has great potential to improve drug discovery. Normally, developing new drugs takes a lot of time and money. With AI, researchers hope to find promising #API candidates 💊 faster and run better clinical trials thereby accelerating the delivery of life-saving treatments to patients. Learn more about this collab [ https://lnkd.in/d4cVWw5N ] #DrugDiscovery #PharmaIndustry

We are excited to announce our collaboration with OpenAI and Sanofi to build fine-tuned and custom AI solutions to transform drug development. Since our inception, we have focused on building a pharma company differentiated by radical efficiency throughout drug development and clinical trials - and this collaboration helps us advance that vision.    As AI accelerates drug discovery, generating more promising candidate drugs than ever before, we believe the most consequential bottleneck to bringing more medicines to patients is the staggering cost and time needed for drug development and clinical trials. By designing and developing AI specifically tailored for drug development, we can increase the total number of candidate drugs that can progress through development, and ultimately deliver more new treatments to patients faster and more efficiently. You can read more about the collaboration here: https://lnkd.in/eYx9_QYg #ai #drugdevelopment #clinicaltrials #pharma #biotech