@irat1onal

Creator interested in all areas of science, technology, and innovation that create a better tomorrow for humanity @ProgressPotent1

Phila, PA, USA
Joined November 2008
Cancer care shouldn't end with treating the cancer. For many patients, the effects of cancer treatment can persist long after surgery, chemotherapy, or radiation have ended. Pain, fatigue, weakness, lymphedema, neuropathy, and reduced mobility can profoundly affect a person's ability to return to everyday life. In this episode of @ProgressPotent1 I'm joined by Dr. @EricWisotzkyMD, Director of Cancer Rehabilitation at @MedStarNRH and Ashley Smith, who shares her personal experience navigating breast cancer and rehabilitation. We explore how cancer rehabilitation can help patients prepare for treatment, manage side effects while undergoing care, and regain strength, mobility, function, and independence over the long term. From prehabilitation and physical therapy to chronic pain management, lymphedema, radiation fibrosis, and the future of personalized cancer recovery, we'll discuss why rehabilitation deserves a much larger role in the cancer care journey. Because surviving cancer is only part of the story. Helping people live well afterward matters, too. #CancerRehabilitation #CancerCare #CancerSurvivorship #BreastCancer #CancerRecovery #Healthcare #ProgressPotentialAndPossibilities @ScottCircle
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$GMEX Robotics US President Brian Hartzband joined @irat1onal on @ProgressPotent1 to discuss the future of physical AI, the importance of social intelligence for building trust in robotics, and the delivery of their new Bombavant culinary robot. 🔗 :bit.ly/4hFI62l #PhysicalAI #SocialIntelligence #Robotics #CulinaryAI #TechInnovation
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Cancer care has made extraordinary advances in helping patients survive. But what happens to the physical challenges that can remain long after treatment? Cancer rehabilitation can help patients prepare for treatment, manage its side effects, and regain strength, mobility, and independence. Survival is essential. Quality of life matters, too.
Cancer care shouldn't end with treating the cancer. For many patients, the effects of cancer treatment can persist long after surgery, chemotherapy, or radiation have ended. Pain, fatigue, weakness, lymphedema, neuropathy, and reduced mobility can profoundly affect a person's ability to return to everyday life. In this episode of @ProgressPotent1 I'm joined by Dr. @EricWisotzkyMD, Director of Cancer Rehabilitation at @MedStarNRH and Ashley Smith, who shares her personal experience navigating breast cancer and rehabilitation. We explore how cancer rehabilitation can help patients prepare for treatment, manage side effects while undergoing care, and regain strength, mobility, function, and independence over the long term. From prehabilitation and physical therapy to chronic pain management, lymphedema, radiation fibrosis, and the future of personalized cancer recovery, we'll discuss why rehabilitation deserves a much larger role in the cancer care journey. Because surviving cancer is only part of the story. Helping people live well afterward matters, too. Watch now - youtube.com/watch?v=oHW3bb0E… #CancerRehabilitation #CancerCare #CancerSurvivorship #BreastCancer #CancerRecovery #Healthcare #ProgressPotentialAndPossibilities @ScottCircle
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What if one of the biggest obstacles to AI-driven drug discovery isn't AI at all? It's DATA. We now have extraordinary AI models capable of analyzing biological systems in ways that were unimaginable just a few years ago. But some of the most valuable biological data in existence is sitting inside pharmaceutical companies, biotech companies, universities and research organizations - often locked away because the organizations that generated it can't simply give away their intellectual property. So what happens if we could let AI learn from that proprietary data without requiring the data itself to leave its owner's control? That's the problem Dr. @HarlanRobins, Ph.D. is tackling with Harell Data. Dr. Robins brings a fascinating perspective to this question. He trained as a physicist, became an early computational biologist, helped build the Computational Biology Program at @fredhutch, and then spent more than 16 years as Co-Founder and Chief Scientific Officer of @AdaptiveBiotech, helping decode the adaptive immune system at scale. Now he's thinking about the next bottleneck: Can we build an economic and technological infrastructure that allows AI to learn from the world's most valuable biological datasets - while allowing the people who created those datasets to retain control and participate in the value they generate? Imagine a pharmaceutical company, two biotech companies, an AI developer and an experimental laboratory all contributing different pieces of the puzzle - without simply handing over their proprietary data. Could that create a new flywheel for scientific discovery? Data → AI → prediction → experiment → new data → better AI. That's what we explore with Dr. Robins on the latest episode of @ProgressPotent1 #AI #Biotech #DrugDiscovery #ComputationalBiology #ScientificData #ArtificialIntelligence #HarellData @orangefiery @DiDop @CoreWeave @AAlphaBio
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AI models are getting extraordinarily powerful. But what if biology's biggest AI bottleneck isn't the model? It's the data. Some of the world's most valuable biological datasets already exist - inside companies and research organizations that can't simply give away their IP. The next breakthrough may depend on finding a way for AI to learn from that data without requiring the data to be given away. Fascinating conversation with Harlan Robins, Co-Founder of Harell Data.
What if one of the biggest obstacles to AI-driven drug discovery isn't AI at all? It's DATA. We now have extraordinary AI models capable of analyzing biological systems in ways that were unimaginable just a few years ago. But some of the most valuable biological data in existence is sitting inside pharmaceutical companies, biotech companies, universities and research organizations - often locked away because the organizations that generated it can't simply give away their intellectual property. So what happens if we could let AI learn from that proprietary data without requiring the data itself to leave its owner's control? That's the problem Dr. @HarlanRobins, Ph.D. is tackling with Harell Data. Dr. Robins brings a fascinating perspective to this question. He trained as a physicist, became an early computational biologist, helped build the Computational Biology Program at @fredhutch, and then spent more than 16 years as Co-Founder and Chief Scientific Officer of @AdaptiveBiotech, helping decode the adaptive immune system at scale. Now he's thinking about the next bottleneck: Can we build an economic and technological infrastructure that allows AI to learn from the world's most valuable biological datasets - while allowing the people who created those datasets to retain control and participate in the value they generate? Imagine a pharmaceutical company, two biotech companies, an AI developer and an experimental laboratory all contributing different pieces of the puzzle - without simply handing over their proprietary data. Could that create a new flywheel for scientific discovery? Data → AI → prediction → experiment → new data → better AI. That's what we explore with Dr. Robins on the latest episode of @ProgressPotent1 Watch now - youtube.com/watch?v=l_AJtLIY… #AI #Biotech #DrugDiscovery #ComputationalBiology #ScientificData #ArtificialIntelligence #HarellData @orangefiery @DiDop @CoreWeave @AAlphaBio
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Ira S. Pastor retweeted
ICYMI: Great conversation between Ira S. Pastor & @RichardLui on #caregiving, the care economy, technology & AI. Grateful to help bring these important stories to a broader audience & turn awareness into meaningful change. #BecauseWeCare @MSNOWNews
THE CAREGIVING CRISIS What happens when caring for someone you love becomes a second full-time job - while the healthcare system, the economy and even our technology often fail to recognize the person doing the caring? For journalist, filmmaker, author and caregiving advocate @RichardLui, that question became deeply personal when his father developed Alzheimer’s. It changed the direction of his life - leading to documentaries, his book Enough About Me, the Caregiving Moonshot, and now an ambitious effort at the @UMich called CAREGenome, which is exploring how data and AI might help us understand what Richard calls the “last three feet of care.” And now Richard has taken that mission to a new national platform with Because We Care, his new series on @MSNOWNews. In our @ProgressPotent1 conversation, Richard talks about his own experience as a caregiver, the hidden human and economic dimensions of caregiving, the emerging care economy, caregiver mental health and loneliness, CAREGenome, spatial AI, and the question of whether technology can actually make care more human rather than less. And Richard brought something special to our conversation: clips from his new Because We Care conversations with @EmmaHeming and @IamLaurenMiller and @Sethrogen, sharing very different experiences of caregiving and dementia. Those stories bring the discussion back to the most important part of all: The human beings behind the data. Watch now - youtube.com/watch?v=Q6_hBF53… #Caregiving #Dementia #Alzheimers #Aging #AI #ArtificialIntelligence #CAREGenome #SpatialAI #CareEconomy #HealthTech #AgeTech #RichardLui #BecauseWeCare @laarnid1 @MSNOWComms @WeAreHFC @NBCNews @beUNCONDITIONAL @SkyBlossomFilm @startuphealth @YNB @mariashriver
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What if we could see inside the breast without X-rays, without compression, and without contrast agents? That’s the premise behind a very different approach to breast imaging being developed by QT Imaging -@QTIHoldings My guest on @ProgressPotent1 is Dr. Raluca Dinu, Ph.D., CEO of QT Imaging, whose background spans physics, optics, semiconductor technology and technology commercialization. QT’s Breast Acoustic CT uses sound waves to generate 3D images of the breast - including quantitative measurements such as tissue speed of sound and fibroglandular volume. But the bigger question isn't simply whether we can create another image. Can quantitative imaging help us see what conventional imaging may miss, particularly in dense breasts? Can it eventually tell us more about the physical characteristics of a lesion? And could repeatedly measuring those characteristics allow us to monitor how a tumor changes over time - potentially giving physicians another way to assess treatment response? We discuss the physics behind Breast Acoustic CT, how it compares with mammography and MRI, what the early clinical studies have actually shown, and the significance of QT's growing real-world experience. A fascinating look at how sound could potentially change the way we see breast cancer. #BreastCancer #BreastImaging #Mammography #MedicalImaging #Ultrasound #MedTech #CancerResearch #QTImaging #ProgressPotentialAndPossibilities @CoreIR_
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We’ve spent decades getting better at seeing breast cancer. But what if the next breakthrough is not simply a better picture? What if we could quantitatively measure the physical properties of breast tissue - in 3D, without X-rays or compression - and eventually track how those properties change over time? That’s the intriguing possibility behind Breast Acoustic CT. My conversation with QT Imaging CEO Dr. Raluca Dinu explores where the technology stands today - and what it still needs to prove. Could sound give us a fundamentally different way to see breast cancer? #BreastCancer #MedTech #MedicalImaging
What if we could see inside the breast without X-rays, without compression, and without contrast agents? That’s the premise behind a very different approach to breast imaging being developed by QT Imaging - @QTIHoldings My guest on @ProgressPotent1 is Dr. Raluca Dinu, Ph.D., CEO of QT Imaging, whose background spans physics, optics, semiconductor technology and technology commercialization. QT’s Breast Acoustic CT uses sound waves to generate 3D images of the breast - including quantitative measurements such as tissue speed of sound and fibroglandular volume. But the bigger question isn't simply whether we can create another image. Can quantitative imaging help us see what conventional imaging may miss, particularly in dense breasts? Can it eventually tell us more about the physical characteristics of a lesion? And could repeatedly measuring those characteristics allow us to monitor how a tumor changes over time - potentially giving physicians another way to assess treatment response? We discuss the physics behind Breast Acoustic CT, how it compares with mammography and MRI, what the early clinical studies have actually shown, and the significance of QT's growing real-world experience. A fascinating look at how sound could potentially change the way we see breast cancer. Watch now - youtube.com/watch?v=pGBNibUc… #BreastCancer #BreastImaging #Mammography #MedicalImaging #Ultrasound #MedTech #CancerResearch #QTImaging #ProgressPotentialAndPossibilities @CoreIR_
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THE CAREGIVING CRISIS What happens when caring for someone you love becomes a second full-time job - while the healthcare system, the economy and even our technology often fail to recognize the person doing the caring? For journalist, filmmaker, author and caregiving advocate @RichardLui, that question became deeply personal when his father developed Alzheimer’s. It changed the direction of his life - leading to documentaries, his book Enough About Me, the Caregiving Moonshot, and now an ambitious effort at the @UMich called CAREGenome, which is exploring how data and AI might help us understand what Richard calls the “last three feet of care.” And now Richard has taken that mission to a new national platform with Because We Care, his new series on @MSNOWNews. In our @ProgressPotent1 conversation, Richard talks about his own experience as a caregiver, the hidden human and economic dimensions of caregiving, the emerging care economy, caregiver mental health and loneliness, CAREGenome, spatial AI, and the question of whether technology can actually make care more human rather than less. And Richard brought something special to our conversation: clips from his new Because We Care conversations with @EmmaHeming and @IamLaurenMiller and @Sethrogen , sharing very different experiences of caregiving and dementia. Those stories bring the discussion back to the most important part of all: The human beings behind the data. #Caregiving #Dementia #Alzheimers #Aging #AI #ArtificialIntelligence #CAREGenome #SpatialAI #CareEconomy #HealthTech #AgeTech #RichardLui #BecauseWeCare @laarnid1 @MSNOWComms @WeAreHFC @NBCNews @beUNCONDITIONAL @SkyBlossomFilm @startuphealth @YNB @mariashriver @DrDebWhitman @AARP @melindagates @pivotaldotcom @BeckyQuick
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NEW PPP EPISODE: THE CAREGIVING CRISIS Millions of people provide care for a parent, spouse, child or loved one - often while trying to maintain a career and their own lives. Journalist and caregiving advocate Richard Lui became one of them when his father developed Alzheimer's. That experience ultimately led him from journalism and filmmaking into the care economy, CAREGenome and spatial AI - and now to his new MS NOW series, Because We Care. In our conversation, Richard shares clips from his new interviews with Emma Heming Willis, and Lauren Miller Rogen and Seth Rogen, offering two very different perspectives on caregiving and dementia. The bigger question: Can technology help us understand caregiving without losing sight of the human beings doing it?
THE CAREGIVING CRISIS What happens when caring for someone you love becomes a second full-time job - while the healthcare system, the economy and even our technology often fail to recognize the person doing the caring? For journalist, filmmaker, author and caregiving advocate @RichardLui, that question became deeply personal when his father developed Alzheimer’s. It changed the direction of his life - leading to documentaries, his book Enough About Me, the Caregiving Moonshot, and now an ambitious effort at the @UMich called CAREGenome, which is exploring how data and AI might help us understand what Richard calls the “last three feet of care.” And now Richard has taken that mission to a new national platform with Because We Care, his new series on @MSNOWNews. In our @ProgressPotent1 conversation, Richard talks about his own experience as a caregiver, the hidden human and economic dimensions of caregiving, the emerging care economy, caregiver mental health and loneliness, CAREGenome, spatial AI, and the question of whether technology can actually make care more human rather than less. And Richard brought something special to our conversation: clips from his new Because We Care conversations with @EmmaHeming and @IamLaurenMiller and @Sethrogen, sharing very different experiences of caregiving and dementia. Those stories bring the discussion back to the most important part of all: The human beings behind the data. Watch now - youtube.com/watch?v=Q6_hBF53… #Caregiving #Dementia #Alzheimers #Aging #AI #ArtificialIntelligence #CAREGenome #SpatialAI #CareEconomy #HealthTech #AgeTech #RichardLui #BecauseWeCare @laarnid1 @MSNOWComms @WeAreHFC @NBCNews @beUNCONDITIONAL @SkyBlossomFilm @startuphealth @YNB @mariashriver
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Ira S. Pastor retweeted
🎙️ AI is leaving the screen and entering the physical world. Our CEO John Fowler joins Progress, Potential, And Possibilities (@ProgressPotent1) to discuss the rise of embodied AI and how MBody AI is building the intelligence layer for autonomous workforces. From the Orchestrator platform to real-world deployments across hospitality environments, @john_fowler_jd shares how MBody AI is bringing AI and robotics together to coordinate work in the physical world. ▶️ Watch the full conversation: youtube.com/watch?v=J8-jVVZL… $MBAI #MBodyAI #EmbodiedAI #Robotics #ArtificialIntelligence #Automation #FutureOfWork
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A robot can recognize a person. But can it understand one? As AI moves from our screens into the physical world, robots increasingly have to operate in environments that are messy, unpredictable and fundamentally human. They need to navigate around us. Understand our instructions. Predict our movements. Interpret context. Recognize when we're uncertain or confused. And sometimes, perhaps most importantly, know when they don't understand what we're trying to do. That's where the emerging concept of social intelligence comes in. On this episode of @ProgressPotent1 I spoke with Brian Hartzband, President of U.S. Operations at @GMEXRobotics, about the company's "Terminal + Brain" approach to physical AI and its planned strategic investment in MediaMeta.AI, which focuses on human behavioral modeling and social intelligence. We explored a bigger question: Can robots learn to understand human behavior - not just recognize it? And what would it take to prove that they actually can? From embodied AI and robot perception to human intent, social context, behavioral prediction and the challenges of putting autonomous machines into hospitals, restaurants, hotels and homes, this is where AI gets very interesting. Can robots understand us? #PhysicalAI #EmbodiedAI #Robotics #ArtificialIntelligence #SocialIntelligence #HumanoidRobots #Robots #AI #RoboticsTechnology #FutureOfRobotics #HumanRobotInteraction #MachineLearning #AutonomousRobots #FutureOfAI @CoreIR_
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For decades, biometric technology has been trying to answer a deceptively simple question: WHO ARE YOU? A face. A fingerprint. An iris. Today, AI can turn these biological characteristics into highly sophisticated mathematical representations and compare them against enormous identity databases. But something much bigger is happening. The technology is evolving from biometric recognition toward Vision AI - systems that can potentially recognize not just who is in an image, but what is happening around them. People. Vehicles. Objects. Weapons. Behavior. Events. And that raises some fascinating questions: How accurate is facial recognition in the messy real world? What happens when you search for one person among millions? Can AI actually understand human behavior - or is it still primarily recognizing patterns? How do we protect biometric information? And as generative AI becomes capable of creating increasingly convincing synthetic faces, voices and videos, are we entering an arms race between biometric authentication and AI-powered deception? On this episode of @ProgressPotent1 I'm joined by B. Scott Swann, CEO of @ROC_VisionaryAI and a longtime leader in biometrics, computer vision and identity technology. Scott spent nearly two decades at the @FBI before moving into senior leadership at MorphoTrak and IDEMIA National Security Solutions, and now leads ROC as it develops technologies spanning facial, fingerprint and iris recognition, liveness detection, video analytics and Vision AI. We've gone from asking AI: "Who is this?" Now we're asking: "What does AI actually see?" #AI #Biometrics #FacialRecognition #VisionAI #ComputerVision #ArtificialIntelligence #IdentityTechnology #FutureOfAI @CoreIR_
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AI has learned to generate text, images and code. Now we're putting AI into machines that can move through the real world. But there's a problem: The physical world isn't just objects and obstacles. It's people. A robot may be able to see what we're doing. The harder question is whether it can understand why we're doing it - and predict what we'll do next. That's where social intelligence could become a critical piece of physical AI. My conversation with Brian Hartzband of GMEX Robotics explores the question: CAN ROBOTS UNDERSTAND US?
A robot can recognize a person. But can it understand one? As AI moves from our screens into the physical world, robots increasingly have to operate in environments that are messy, unpredictable and fundamentally human. They need to navigate around us. Understand our instructions. Predict our movements. Interpret context. Recognize when we're uncertain or confused. And sometimes, perhaps most importantly, know when they don't understand what we're trying to do. That's where the emerging concept of social intelligence comes in. On this episode of @ProgressPotent1 I spoke with Brian Hartzband, President of U.S. Operations at @GMEXRobotics, about the company's "Terminal + Brain" approach to physical AI and its planned strategic investment in MediaMeta.AI, which focuses on human behavioral modeling and social intelligence. We explored a bigger question: Can robots learn to understand human behavior - not just recognize it? And what would it take to prove that they actually can? From embodied AI and robot perception to human intent, social context, behavioral prediction and the challenges of putting autonomous machines into hospitals, restaurants, hotels and homes, this is where AI gets very interesting. Can robots understand us? Watch now - youtube.com/watch?v=9yxb10xX… #PhysicalAI #EmbodiedAI #Robotics #ArtificialIntelligence #SocialIntelligence #HumanoidRobots #Robots #AI #RoboticsTechnology #FutureOfRobotics #HumanRobotInteraction #MachineLearning #AutonomousRobots #FutureOfAI @CoreIR_
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For decades, biometric AI has focused on one question: WHO ARE YOU? But the next evolution may be much bigger: WHAT IS HAPPENING? The shift from facial recognition to Vision AI could take us from identifying people to understanding people, objects and events in the physical world. Fascinating conversation with B. Scott Swann, CEO of ROC, on the future of biometrics, computer vision, privacy, deepfakes and AI that can actually see.
For decades, biometric technology has been trying to answer a deceptively simple question: WHO ARE YOU? A face. A fingerprint. An iris. Today, AI can turn these biological characteristics into highly sophisticated mathematical representations and compare them against enormous identity databases. But something much bigger is happening. The technology is evolving from biometric recognition toward Vision AI - systems that can potentially recognize not just who is in an image, but what is happening around them. People. Vehicles. Objects. Weapons. Behavior. Events. And that raises some fascinating questions: How accurate is facial recognition in the messy real world? What happens when you search for one person among millions? Can AI actually understand human behavior - or is it still primarily recognizing patterns? How do we protect biometric information? And as generative AI becomes capable of creating increasingly convincing synthetic faces, voices and videos, are we entering an arms race between biometric authentication and AI-powered deception? On this episode of @ProgressPotent1 I'm joined by B. Scott Swann, CEO of @ROC_VisionaryAI and a longtime leader in biometrics, computer vision and identity technology. Scott spent nearly two decades at the @FBI before moving into senior leadership at MorphoTrak and IDEMIA National Security Solutions, and now leads ROC as it develops technologies spanning facial, fingerprint and iris recognition, liveness detection, video analytics and Vision AI. We've gone from asking AI: "Who is this?" Now we're asking: "What does AI actually see?" Watch now - youtube.com/watch?v=Xnx9nJZ5… #AI #Biometrics #FacialRecognition #VisionAI #ComputerVision #ArtificialIntelligence #IdentityTechnology #FutureOfAI @CoreIR_
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Ira S. Pastor retweeted
Embodied AI moving from screens to the physical world, coordinating autonomous workforces across hospitality, is a glimpse into the future of enterprise automation. The questions raised about human-machine collaboration and the need for humanoid robots are exactly what automotive is wrestling with on the factory floor. This is where AI moves from theory to tangible operations.
AI has spent the last few years transforming what happens on our screens. The next frontier may be what happens in the physical world. I recently spoke on @ProgressPotent1 with @john_fowler_jd, CEO of @MbodyAi, about a field increasingly known as embodied AI - artificial intelligence that can perceive its physical surroundings, make decisions and direct machines to perform real-world tasks. MBody AI is already deploying autonomous robots in large hospitality environments, where machines are performing tasks such as floor cleaning and generating operational data about how that work gets done. But the bigger idea is what happens beyond a single robot. MBody's Orchestrator platform is designed to provide an intelligence and coordination layer across robotic operations - potentially allowing different machines to work as a coordinated autonomous workforce. That raises some fascinating questions: 🧠 Can AI learn from thousands of hours of machines operating in the real world?; 🏢 Could an entire building eventually be managed by a combination of humans and autonomous machines?; 🤖 Do we need humanoid robots to automate physical work?; 👷 And what happens to the human workforce when AI moves from generating information to performing physical work? MBody AI recently became a Nasdaq-listed company under the ticker MBAI, making this an especially interesting moment to examine both the technology and the business behind it. The transition from AI that thinks to AI that acts may be one of the most consequential developments in robotics. My conversation with John Fowler explores where that future is already happening - and where it could go next. #ArtificialIntelligence #AI #Robotics #EmbodiedAI #AutonomousRobots #RoboticsAI #FutureOfWork #Automation #PhysicalAI #MachineLearning #RoboticsTechnology #MBodyAI #HospitalityTechnology #FutureOfWork #Innovation @CoreIR_ @MGMResortsIntl @MoheganSun @CaesarsPalace
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Ira S. Pastor retweeted
Embodied AI moving from screens to the physical world, coordinating autonomous workforces across hospitality, is a glimpse into the future of enterprise automation. The questions raised about human-machine collaboration and the need for humanoid robots are exactly what automotive is wrestling with on the factory floor. This is where AI moves from theory to tangible operations.
AI has spent the last few years transforming what happens on our screens. The next frontier may be what happens in the physical world. I recently spoke on @ProgressPotent1 with @john_fowler_jd, CEO of @MbodyAi, about a field increasingly known as embodied AI - artificial intelligence that can perceive its physical surroundings, make decisions and direct machines to perform real-world tasks. MBody AI is already deploying autonomous robots in large hospitality environments, where machines are performing tasks such as floor cleaning and generating operational data about how that work gets done. But the bigger idea is what happens beyond a single robot. MBody's Orchestrator platform is designed to provide an intelligence and coordination layer across robotic operations - potentially allowing different machines to work as a coordinated autonomous workforce. That raises some fascinating questions: 🧠 Can AI learn from thousands of hours of machines operating in the real world?; 🏢 Could an entire building eventually be managed by a combination of humans and autonomous machines?; 🤖 Do we need humanoid robots to automate physical work?; 👷 And what happens to the human workforce when AI moves from generating information to performing physical work? MBody AI recently became a Nasdaq-listed company under the ticker MBAI, making this an especially interesting moment to examine both the technology and the business behind it. The transition from AI that thinks to AI that acts may be one of the most consequential developments in robotics. My conversation with John Fowler explores where that future is already happening - and where it could go next. #ArtificialIntelligence #AI #Robotics #EmbodiedAI #AutonomousRobots #RoboticsAI #FutureOfWork #Automation #PhysicalAI #MachineLearning #RoboticsTechnology #MBodyAI #HospitalityTechnology #FutureOfWork #Innovation @CoreIR_ @MGMResortsIntl @MoheganSun @CaesarsPalace
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What if we could teach the immune system to stop attacking the liver? That's one of the biggest questions emerging from the science of Primary Biliary Cholangitis (PBC) - a rare autoimmune disease that disproportionately affects women and can cause progressive liver damage. But PBC isn't simply a story about liver enzymes and disease progression. For many patients, the most difficult parts of the disease can be invisible: debilitating fatigue, relentless itching, brain fog, anxiety about the future and the social stigma of an illness that other people simply can't see. A new national Voice of PBC survey from The @PBCers Organization, capturing the experiences of 210 people living with PBC, brings that hidden burden into sharp focus. On this episode of @ProgressPotent1, I spoke with Carol Roberts - @pbcercarol - President of @PBCers Organization, about what it's actually like to live with PBC - and where the science is headed. We explore: • Why PBC is so often discovered through routine bloodwork; • Why fatigue and pruritus can be so debilitating; • Why patients are still told, "You don't look sick"; • The evolution from ursodeoxycholic acid to newer therapies including elafibranor and seladelpar; • What the Ocaliva experience taught us about drug development; • Why improving a biomarker isn't necessarily the same as improving a patient's life; • And perhaps most intriguingly - whether the next generation of PBC therapies could move beyond treating the consequences of autoimmunity and toward immune tolerance and reprogramming. Could we eventually teach the immune system to leave the bile ducts alone? That's where the future of PBC research gets particularly fascinating. #PBC #PrimaryBiliaryCholangitis #AutoimmuneDisease #RareDisease #LiverDisease #Immunology #DrugDevelopment #WomensHealth #MedicalResearch #FutureOfMedicine @FINNPartners
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"You don't look sick." For someone living with PBC, those words can capture a huge part of the problem. The disease may be invisible - but the fatigue, itching, brain fog, uncertainty and fear of progression can profoundly affect everyday life. And now there's a fascinating scientific question: Can we move beyond treating the consequences of PBC and actually retrain the immune system responsible for the attack? Carol Roberts of The PBCers Organization joins me to discuss the patient experience and the rapidly evolving science of PBC.
What if we could teach the immune system to stop attacking the liver? That's one of the biggest questions emerging from the science of Primary Biliary Cholangitis (PBC) - a rare autoimmune disease that disproportionately affects women and can cause progressive liver damage. But PBC isn't simply a story about liver enzymes and disease progression. For many patients, the most difficult parts of the disease can be invisible: debilitating fatigue, relentless itching, brain fog, anxiety about the future and the social stigma of an illness that other people simply can't see. A new national Voice of PBC survey from The @PBCers Organization, capturing the experiences of 210 people living with PBC, brings that hidden burden into sharp focus. On this episode of @ProgressPotent1, I spoke with Carol Roberts - @pbcercarol - President of @PBCers Organization, about what it's actually like to live with PBC - and where the science is headed. We explore: • Why PBC is so often discovered through routine bloodwork; • Why fatigue and pruritus can be so debilitating; • Why patients are still told, "You don't look sick"; • The evolution from ursodeoxycholic acid to newer therapies including elafibranor and seladelpar; • What the Ocaliva experience taught us about drug development; • Why improving a biomarker isn't necessarily the same as improving a patient's life; • And perhaps most intriguingly - whether the next generation of PBC therapies could move beyond treating the consequences of autoimmunity and toward immune tolerance and reprogramming. Could we eventually teach the immune system to leave the bile ducts alone? That's where the future of PBC research gets particularly fascinating. Watch now - youtube.com/watch?v=TcVl8QbC… #PBC #PrimaryBiliaryCholangitis #AutoimmuneDisease #RareDisease #LiverDisease #Immunology #DrugDevelopment #WomensHealth #MedicalResearch #FutureOfMedicine @FINNPartners
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