I was linked this article, and as always with sensational headlines, I dug deeper, starting with the originally published paper. It's pretty cool. The researchers developed an AI model that could potentially help identify new compounds for chronic pain relief by predicting interactions between molecules and pain-related receptors. This could be a significant step forward in finding non-opioid treatments for pain. However, from a clinical standpoint, it's important to note that this is highly, HIGHLY theoretical at this stage. This is like someone publishing a treasure map based on their research of a historical shipwreck, then headlines declaring "Sunken Treasure Found in Atlantic!" We have an intriguing start, but there's a long journey ahead before any treasure is actually discovered. The model doesn't account for a lot of stuff, including ADMET properties - Absorption, Distribution, Metabolism, Excretion, and Toxicity - which are crucial for determining a drug's suitability for human use. Just because a compound shows potential in a computer model doesn't mean it will be safe or effective in living organisms (i.e. Bleach kills Covid meme... yes true but it also kills humans if ingested). Obviously hasn't progressed to in vitro (test tube) or in vivo (animal or human) testing yet either. That said, this research represents a promising step forward. By starting with a large pool of potential compounds, AI can help narrow down candidates for further testing. This could streamline the drug discovery process: starting with hundreds of compounds, refining to dozens through laboratory research, and eventually bringing a couple of effective and safe options to market. It's exciting to think that AI could help us identify new compounds for chronic pain relief. However, we're likely many years away from seeing these AI-discovered drugs become available treatments. Newer, existing approved medications are already prohibitively expensive and inaccessible to patients - for example, drugs like Zolgensma and Luxturna cost about a million dollars+ per treatment. So, while AI holds great promise for the future of drug discovery, especially for conditions like chronic pain, we need to temper our excitement with a dose of reality. There's a long road from computational models to real-world treatments, but every journey starts with a first step~ #AIDrugDiscovery #PainManagement #HealthcareInnovation #ArtificialIntelligence
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No Pain, LOTS of GAIN! Collaboration between Feixiong Cheng, Ph.D., Director of Cleveland Clinic’s Genome Center, and IBM are using artificial intelligence (AI) for drug discovery for chronic pain. Their cutting-edge deep-learning framework identified gut microbiome-derived metabolites and repurposed FDA-approved drugs to explore non-addictive, non-opioid options for advanced pain management. This innovative approach offers hope for millions suffering from chronic pain without the risks associated with opioids. This is another example of how AI can impact healthcare!
Researchers use AI to find non-opioid pain relief options
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#Google #Deepmind — Around 20% of Americans experience chronic pain, and current treatments are lacking. Dr. Feixiong Cheng and IBM are using AI to find non-addictive, non-opioid options by repurposing FDA-approved drugs and gut microbiome metabolites. #AI #Business #Product #Management #Platform #Innovation #Framework https://lnkd.in/gN-W4wCg
Researchers use AI to find non-opioid pain relief options
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Feixiong Cheng, Ph.D., Director of Cleveland Clinic’s Genome Center, and #IBM are pushing the boundaries of drug discovery by harnessing the power of artificial intelligence (AI) to tackle one of healthcare's toughest challenges: chronic pain. ?? Their cutting-edge deep-learning framework identified gut microbiome-derived metabolites and repurposed FDA-approved drugs to explore non-addictive, non-opioid options for advanced pain management. This innovative approach offers hope for millions suffering from chronic pain without the risks associated with opioids. Interested in how AI can transform pain relief? ?? Check the full interview here: https://lnkd.in/eH2KqcSD ?? Share this post if you believe AI is the future or the present of healthcare innovation. ?? Follow me for more insights on healthcare innovation! #clevelandclinic #ClevelandClinicInnovations #healthcare #healthcareinnovation #AI #drugdiscovery #painmanagement
Researchers use AI to find non-opioid pain relief options
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Can AI be the future of non-opioid Chronic Pain Relief? Scientists are turning to technology for answers!" ???? Around 1 in 5 Americans are suffering from chronic pain and with limited options on the table, treatments often come with a myriad of side effects or dependency issues. Enter Feixiong Cheng, Ph.D., Director of Cleveland Clinic's Genome Center, and IBM who have been tirelessly working on utilizing Artificial Intelligence (AI) in an unprecedented way to find non-opioid pain relief options. Creating paths away from opioids towards effective treatment could potentially transform lives & reduce healthcare burdens! For more insights, head over to: https://lnkd.in/d66jWFAn #ArtificialIntelligence #PainRelief #NonOpioidTreatment #ChronicPain #HealthInnovation #IBMResearch #ClevelandClinic #DigitalHealthcare #MedTechAdvances ?#AIinHealthcare
Researchers use AI to find non-opioid pain relief options
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Can AI be the future of non-opioid Chronic Pain Relief? Scientists are turning to technology for answers!" ???? Around 1 in 5 Americans are suffering from chronic pain and with limited options on the table, treatments often come with a myriad of side effects or dependency issues. Enter Feixiong Cheng, Ph.D., Director of Cleveland Clinic's Genome Center, and IBM who have been tirelessly working on utilizing Artificial Intelligence (AI) in an unprecedented way to find non-opioid pain relief options. Creating paths away from opioids towards effective treatment could potentially transform lives & reduce healthcare burdens! For more insights, head over to: https://lnkd.in/d66jWFAn #ArtificialIntelligence #PainRelief #NonOpioidTreatment #ChronicPain #HealthInnovation #IBMResearch #ClevelandClinic #DigitalHealthcare #MedTechAdvances ?#AIinHealthcare
Researchers use AI to find non-opioid pain relief options
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Can AI be the future of non-opioid Chronic Pain Relief? Scientists are turning to technology for answers!" ???? Around 1 in 5 Americans are suffering from chronic pain and with limited options on the table, treatments often come with a myriad of side effects or dependency issues. Enter Feixiong Cheng, Ph.D., Director of Cleveland Clinic's Genome Center, and IBM who have been tirelessly working on utilizing Artificial Intelligence (AI) in an unprecedented way to find non-opioid pain relief options. Creating paths away from opioids towards effective treatment could potentially transform lives & reduce healthcare burdens! For more insights, head over to: https://lnkd.in/d66jWFAn #ArtificialIntelligence #PainRelief #NonOpioidTreatment #ChronicPain #HealthInnovation #IBMResearch #ClevelandClinic #DigitalHealthcare #MedTechAdvances ?#AIinHealthcare
Researchers use AI to find non-opioid pain relief options
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?? AI and Gut Health: Bridging the Future of Colitis Research ?? As a PhD student currently working on colitis, I find it inspiring to explore how emerging technologies like AI can transform our understanding of gut health. Recently, I read the study: "Unravelling Metabolite-Microbiome Interactions in Inflammatory Bowel Disease Through AI and Interaction-Based Modelling," and it resonated deeply with my aspirations for the future. Key Insights That Inspired Me: AI in Multi-Omics: The use of machine learning (Random Forest, XGBoost) to identify microbial and metabolite markers showcases the potential for AI to decipher complex biological systems. Pathways Uncovered: Disruptions in bile acid metabolism and amino acid pathways are linked to IBD, offering non-invasive diagnostic possibilities. Future Promise: This interdisciplinary approach highlights how AI can complement traditional research methods to drive innovation. My Vision: While my current research focuses on colitis through traditional approaches, I am keen to explore AI applications in the future to uncover novel biomarkers and therapeutic strategies. ?? Kudos to Animesh Acharjee and Rebecca Hodgkiss for this remarkable work, which inspires me to think about how I can contribute to advancing gut health research #PhDJourney #GutHealth #ArtificialIntelligence #IBD #MachineLearning #Microbiome https://lnkd.in/dJAhjTEa
Unravelling metabolite-microbiome interactions in inflammatory bowel disease through AI and interaction-based modelling
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Can AI be the future of non-opioid Chronic Pain Relief? Scientists are turning to technology for answers!" ???? Around 1 in 5 Americans are suffering from chronic pain and with limited options on the table, treatments often come with a myriad of side effects or dependency issues. Enter Feixiong Cheng, Ph.D., Director of Cleveland Clinic's Genome Center, and IBM who have been tirelessly working on utilizing Artificial Intelligence (AI) in an unprecedented way to find non-opioid pain relief options. Creating paths away from opioids towards effective treatment could potentially transform lives & reduce healthcare burdens! For more insights, head over to: https://lnkd.in/dCwrzRek #ArtificialIntelligence #PainRelief #NonOpioidTreatment #ChronicPain #HealthInnovation #IBMResearch #ClevelandClinic #DigitalHealthcare #MedTechAdvances ?#AIinHealthcare
Researchers use AI to find non-opioid pain relief options
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Another exciting use case for AI and ML! Did you know that data analytics of genetic profiles can predict the best response to weight loss drugs? This is where personalized medicine is headed, and it's crucial for medicine, pharmacy, and data science to collaborate on developing better models. Let's continue to explore the potential of genetic data and predictive analytics in healthcare. #GeneticData #PredictiveAnalytics #DataScience #MachineLearning
Genetic profile may predict best response to weight-loss drug Wegovy
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?? Exciting Advances in Pain Treatment with AI: Discover LISA-CPI ? A new deep learning model is paving the way for more effective pain treatment options! ? Developed by Yang et al. and published in Cell Reports Methods, the LISA-CPI framework integrates AI to predict drug and gut metabolite interactions, offering new avenues for pain management. ? LISA-CPI combines molecular imaging and protein 3D-structural representations to predict how drugs interact with pain-related G-protein-coupled receptors (GPCRs). Why should we care? ?? Enhanced Accuracy: The approach could accelerate drug discovery for pain and other conditions by more accurately screening potential compounds. The framework boosts prediction accuracy by 20% compared to traditional methods, leveraging insights from over 10 million drug-like molecules! ?? Drug Repurposing Potential: LISA-CPI identifies promising drugs, including methylergometrine and citicoline, which target GPCRs and show potential in treating chronic pain. LISA-CPI also discovered gut microbes that may interact with pain receptors in beneficial ways. ?? A New Era of Drug Discovery: This AI-powered tool provides a powerful foundation for future research, offering hope for non-addictive pain treatments. #ArtificialIntelligence #PainManagement #DrugDiscovery #HealthcareInnovation #DeepLearning
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