Targeting the CLEVER-1 Receptor to Treat Higher Risk MDS with Dr. Aneel Nimba Faron Pharmaceuticals TRANSCRIPT

Dr. Aneel Nimba, Medical Director at Faron Pharmaceuticals,  discusses the company's innovative approach to treating higher risk myelodysplastic syndromes, a group of rare blood cancers, with its lead drug candidate that targets the CLEVER-1 receptor which controls the tumor microenvironment. This first-in-class monoclonal antibody stimulates the immune system, directly affects abnormal blast cell metabolism and stimulates bone marrow. When combined with limited current treatments, clinical data are showing a path to transform a life-threatening disease into a manageable chronic condition.  Aneel explains, "The main target that we're essentially going for in cancer at Faron is a target called CLEVER-1, and that stands for common lymphatic endothelium vascular receptor one. But essentially, it's a target that hasn't been looked at before. The team at Faron has been working on it for the last 20 years, and we're learning more and more now that it's involved in controlling the tumor. "    "That's important because it also helps with what we call this concept of synergy with other anti-cancer drugs and helps them do their job better at killing cancer. But there are so many other things that CLEVER-1 is involved in downstream within the cells, particularly in higher risk myelodysplastic syndromes or HR-MDs. And so it's truly what we call a first-in-class drug. And I'm quite fascinated with the data that's coming out. I mean, I joined Faron about 16 months ago, and it's definitely an interesting target, not only in blood cancers, but also has the potential in solid tumors." #FaronPharmaceuticals #Bexmarilimab #Hematology #MyelodysplasticSyndrome #BloodCancer #ClinicalTrials #ImmunoOncology #HMA #Azacitidine #BoneMarrowFailure #GeriatricOncology #PrecisionMedicine #IPSSM #CLEVER1 #MonoclonalAntibody #FDA #EHA2024 #MDS #HRMDS #CancerResearch #NovelImmunotherapy  Faron.com Listen to the podcast here

Dr. Aneel Nimba, Medical Director at Faron Pharmaceuticals,  discusses the company's innovative approach to treating higher risk myelodysplastic syndromes, a group of rare blood cancers, with its lead drug candidate that targets the CLEVER-1 receptor which controls the tumor microenvironment. This first-in-class monoclonal antibody stimulates the immune system, directly affects abnormal blast cell metabolism and stimulates bone marrow. When combined with limited current treatments, clinical data are showing a path to transform a life-threatening disease into a manageable chronic condition.  Aneel explains, "The main target that we're essentially going for in cancer at Faron is a target called CLEVER-1, and that stands for common lymphatic endothelium vascular receptor one. But essentially, it's a target that hasn't been looked at before. The team at Faron has been working on it for the last 20 years, and we're learning more and more now that it's involved in controlling the tumor. "    "That's important because it also helps with what we call this concept of synergy with other anti-cancer drugs and helps them do their job better at killing cancer. But there are so many other things that CLEVER-1 is involved in downstream within the cells, particularly in higher risk myelodysplastic syndromes or HR-MDs. And so it's truly what we call a first-in-class drug. And I'm quite fascinated with the data that's coming out. I mean, I joined Faron about 16 months ago, and it's definitely an interesting target, not only in blood cancers, but also has the potential in solid tumors." #FaronPharmaceuticals #Bexmarilimab #Hematology #MyelodysplasticSyndrome #BloodCancer #ClinicalTrials #ImmunoOncology #HMA #Azacitidine #BoneMarrowFailure #GeriatricOncology #PrecisionMedicine #IPSSM #CLEVER1 #MonoclonalAntibody #FDA #EHA2024 #MDS #HRMDS #CancerResearch #NovelImmunotherapy  Faron.com Download the transcript here

Michelle Skinner, Chief Clinical Executive at TeleTracking, uses an AI-powered predictive modeling platform to coordinate fragmented hospital operations from patient placement through discharge. The core problem it is addressing is the emergency department boarding time, the interval between admission and the transfer of the patient to an appropriate inpatient bed when necessary.  The TeleTracking platform uses computational twin technology to run scenario planning, match bed demand with discharge readiness, and prioritize workflows across departments to reduce boarding time, safety risks, and caregiver anxiety.  Michelle explains, "TeleTracking is a healthcare technology company, and we help health systems turn fragmented operations into coordinated decisions across both inpatient and ambulatory care. We have a platform called Operations IQ. It's an AI-powered enterprise operations platform that works alongside the electronic health record, or EMR. It connects patient placement, discharge, transport, environmental services, and all the other workflows within a shared operational view. The work we do creates capacity, improves access, and, most importantly, for many organizations right now, strengthens their financial performance. So we definitely want to ensure that we're thinking about both access and experience, which are two very important things to most healthcare organizations right now, as well as their financial performance when that's appropriate and relevant." "I've spent my entire career in healthcare, so I'm a nurse by background, and I started as a candy striper when I was 14, and then in the emergency department as a patient registrar on the night shift. And I saw it even then, and it really hasn't changed much in those 30-plus years. So when you think about how the ED flow looks, and most departments look, they're looking at their individual departments. They're optimizing their own workflows instead of thinking about things on a coordinated level. So when you push on one side of the balloon, the other side has to give somewhere." #TeleTracking #PatientFlow #EDBoarding #PatientThroughput #HospitalOperations #HealthcareEfficiency #PatientCare #HealthSystems #EmergencyMedicine #HealthTech #CaregiverBurnout #AIinHealthcare teletracking.com Listen to the podcast here

Michelle Skinner, Chief Clinical Executive at TeleTracking, uses an AI-powered predictive modeling platform to coordinate fragmented hospital operations from patient placement through discharge. The core problem it is addressing is the emergency department boarding time, the interval between admission and the transfer of the patient to an appropriate inpatient bed when necessary.  The TeleTracking platform uses computational twin technology to run scenario planning, match bed demand with discharge readiness, and prioritize workflows across departments to reduce boarding time, safety risks, and caregiver anxiety.  Michelle explains, "TeleTracking is a healthcare technology company, and we help health systems turn fragmented operations into coordinated decisions across both inpatient and ambulatory care. We have a platform called Operations IQ. It's an AI-powered enterprise operations platform that works alongside the electronic health record, or EMR. It connects patient placement, discharge, transport, environmental services, and all the other workflows within a shared operational view. The work we do creates capacity, improves access, and, most importantly, for many organizations right now, strengthens their financial performance. So we definitely want to ensure that we're thinking about both access and experience, which are two very important things to most healthcare organizations right now, as well as their financial performance when that's appropriate and relevant." "I've spent my entire career in healthcare, so I'm a nurse by background, and I started as a candy striper when I was 14, and then in the emergency department as a patient registrar on the night shift. And I saw it even then, and it really hasn't changed much in those 30-plus years. So when you think about how the ED flow looks, and most departments look, they're looking at their individual departments. They're optimizing their own workflows instead of thinking about things on a coordinated level. So when you push on one side of the balloon, the other side has to give somewhere." #TeleTracking #PatientFlow #EDBoarding #PatientThroughput #HospitalOperations #HealthcareEfficiency #PatientCare #HealthSystems #EmergencyMedicine #HealthTech #CaregiverBurnout #AIinHealthcare teletracking.com Download the transcript here

Amir Nardimon, Founder and CEO of deliverz ai,  has developed a vendor-agnostic orchestration platform that manages autonomous robots and human transporters through a centralized system to reduce delivery times and optimize operations in hospital environments. This approach emphasizes human-robot interaction and identifying the unique environment of each hospital. Logistics directly impact patient care and outcomes, nursing efficiency, administrative burden, and resource use, so they require predictable, accurate information and action to support the hospital's core mission. Amir explains, "Hospitals, in general, are a very chaotic environment. First of all, there are a lot of items moving back and forth from point A to point B. Most of it is handled manually today, from actually getting from point A to point B with whatever you are carrying to the audit trail, which is usually notebooks and just writing down that it arrived at some point in time. And the fact that most of the corridors are very human-dense environments, with people on the spectrum from very happy to very sad or very angry. For us, dealing with the hospital environment and proving that we can do what we promise to do- which is the orchestration layer and the optimization and bringing efficiency into the hospitals in that environment- makes us very confident that we can bring it anywhere that deals with these kinds of challenges, from industrial to other verticals, mainly any vertical that has something moving from point A to point B." "I think, historically, hospitals have been doing great jobs digitizing the entire EMRs, and they have good technology right now that can tell you that the medication is ready or the specimen is ready. But at the end of the day, it actually needs to move from one place to another in a reliable, predictable way in that chaotic, ever-changing priorities and SLAs. And for us, understanding that, we need to look at the bigger picture. It's not just actually moving things from A to B, but actually understanding what needs to move, when it needs to move, who needs to move it, and how it is actually being moved."  "If it's autonomous robots transporting logistics personnel around the hospital, or any other autonomous vehicle that will be introduced, from drones to whatever is next, it's the realization that you need a top-layer orchestration intelligence platform that can actually understand it. It needs to be the brain of the hospital so everything is predictable and frees up staff time when it's needed." #deliverzai #HospitalAutomation #MedicationDelivery #HealthcareLogistics #AIMedicine #HospitalEfficiency #SmartHospitals #PatientCare #PhysicalAI #OrchestrationPlatform #HealthcareAI #DigitalHealth #HospitalTechnology #CancerCare #HumanRobotCollaboration #MedTech #HospitalIntelligence #DigitalTwin #PredictiveHealthcare #HealthcareInnovation deliverz.ai Listen to the podcast here

Amir Nardimon, Founder and CEO of deliverz ai,  has developed a vendor-agnostic orchestration platform that manages autonomous robots and human transporters through a centralized system to reduce delivery times and optimize operations in hospital environments. This approach emphasizes human-robot interaction and identifying the unique environment of each hospital. Logistics directly impact patient care and outcomes, nursing efficiency, administrative burden, and resource use, so they require predictable, accurate information and action to support the hospital's core mission. Amir explains, "Hospitals, in general, are a very chaotic environment. First of all, there are a lot of items moving back and forth from point A to point B. Most of it is handled manually today, from actually getting from point A to point B with whatever you are carrying to the audit trail, which is usually notebooks and just writing down that it arrived at some point in time. And the fact that most of the corridors are very human-dense environments, with people on the spectrum from very happy to very sad or very angry. For us, dealing with the hospital environment and proving that we can do what we promise to do- which is the orchestration layer and the optimization and bringing efficiency into the hospitals in that environment- makes us very confident that we can bring it anywhere that deals with these kinds of challenges, from industrial to other verticals, mainly any vertical that has something moving from point A to point B." "I think, historically, hospitals have been doing great jobs digitizing the entire EMRs, and they have good technology right now that can tell you that the medication is ready or the specimen is ready. But at the end of the day, it actually needs to move from one place to another in a reliable, predictable way in that chaotic, ever-changing priorities and SLAs. And for us, understanding that, we need to look at the bigger picture. It's not just actually moving things from A to B, but actually understanding what needs to move, when it needs to move, who needs to move it, and how it is actually being moved."  "If it's autonomous robots transporting logistics personnel around the hospital, or any other autonomous vehicle that will be introduced, from drones to whatever is next, it's the realization that you need a top-layer orchestration intelligence platform that can actually understand it. It needs to be the brain of the hospital so everything is predictable and frees up staff time when it's needed." #deliverzai #HospitalAutomation #MedicationDelivery #HealthcareLogistics #AIMedicine #HospitalEfficiency #SmartHospitals #PatientCare #PhysicalAI #OrchestrationPlatform #HealthcareAI #DigitalHealth #HospitalTechnology #CancerCare #HumanRobotCollaboration #MedTech #HospitalIntelligence #DigitalTwin #PredictiveHealthcare #HealthcareInnovation deliverz.ai Download the transcript here

Rusty Frantz, CEO of Nextech, provides a comprehensive platform that helps independent specialty practices build stronger operations, protect against cybersecurity threats, and improve patient outcomes.  Specialty practices face unique challenges compared to general medicine and demand more sophisticated AI solutions.  By handling administrative activities through intelligent automation, practices can focus resources on patient care rather than financial and documentation requirements and become more competitive with larger health systems. Rusty explains, "Independent practices, interestingly enough, face many of the same demands from a complexity standpoint that large healthcare organizations do. Whether that's recruiting staff, negotiating with insurers, managing cybersecurity, collecting payments, they've got to do all of that while also delivering care. They don't have large administrative departments as you see in health systems. These are folks that are out there in the community running a small business that also happens to provide the important care that all of us depend on." "So what we do is we bring the entire platform of software and solutions and services necessary for our clients to run their business. Whether it's supporting the time that you spend with your provider in the little room, going through documentation and making sure we're capturing the clinical encounter effectively, or it's all the way at the front end when you first call in for an appointment, we will help with the self-scheduling and appointment scheduling. " #Nextech #RustyFrantz #AgenticAI #HealthcareAI #EHR #ElectronicHealthRecords #HealthIT #HealthTech #SpecialtyCare #IndependentPractices #PhysicianAutonomy #ClinicalWorkflows #PracticeManagement #PracticeAutomation #HealthcareInteroperability #RevenueCycleManagement #PatientAccess #PatientEngagement #PhysicianBurnout #DigitalHealth #AIinHealthcare #MedicalInnovation #HealthcareLeadership nextech.com Listen to the podcast here

Rusty Frantz, CEO of Nextech, provides a comprehensive platform that helps independent specialty practices build stronger operations, protect against cybersecurity threats, and improve patient outcomes.  Specialty practices face unique challenges compared to general medicine and demand more sophisticated AI solutions.  By handling administrative activities through intelligent automation, practices can focus resources on patient care rather than financial and documentation requirements and become more competitive with larger health systems. Rusty explains, "Independent practices, interestingly enough, face many of the same demands from a complexity standpoint that large healthcare organizations do. Whether that's recruiting staff, negotiating with insurers, managing cybersecurity, collecting payments, they've got to do all of that while also delivering care. They don't have large administrative departments as you see in health systems. These are folks that are out there in the community running a small business that also happens to provide the important care that all of us depend on." "So what we do is we bring the entire platform of software and solutions and services necessary for our clients to run their business. Whether it's supporting the time that you spend with your provider in the little room, going through documentation and making sure we're capturing the clinical encounter effectively, or it's all the way at the front end when you first call in for an appointment, we will help with the self-scheduling and appointment scheduling. " #Nextech #RustyFrantz #AgenticAI #HealthcareAI #EHR #ElectronicHealthRecords #HealthIT #HealthTech #SpecialtyCare #IndependentPractices #PhysicianAutonomy #ClinicalWorkflows #PracticeManagement #PracticeAutomation #HealthcareInteroperability #RevenueCycleManagement #PatientAccess #PatientEngagement #PhysicianBurnout #DigitalHealth #AIinHealthcare #MedicalInnovation #HealthcareLeadership nextech.com Download the transcript here

Dr. Jason Tibbels, Chief Medical Officer at Lantern, discusses how healthcare quality measurement has evolved and why specialty care providers need to use patient-reported outcome tools to provide real-time feedback for continuous clinical improvement.  The challenge is to determine whether procedures are clinically appropriate and effective, capture what matters to patients, and document side effects that may occur. Jason draws on his experience at Teledoc Health establishing virtual care quality standards to suggest similar regulatory battles ahead for AI in medicine and the use of AI tools to catch critical details human review alone might miss. Jason explained, "Lantern is the leading specialty care platform for three main areas: surgery, infusion therapy, and cancer care management. It's available through employers, union health funds, and, more recently, even through health plans. And these three categories make up about 50% of employer healthcare spend. So we address that spend by connecting employees, members, or patients with very high-quality care, close to home, at materially lower costs. And today we support about 12 million growing members across about a thousand employers nationwide."   "To me, the modern history of the healthcare quality movement started around the turn of the century. The big To Err Is Human report came out, which at the time estimated that medical mistakes were killing somewhere around a hundred thousand Americans a year, which is like a jet plane crashing every day. A couple of years later, the blueprint for how we should think about quality came out to address safety and effectiveness and patient-centeredness and equity and other domains. And it kind of became the blueprint, but over the next decade, it was really about building report cards. We started seeing hospitals share publicly reported infection rates and a lot of process and infrastructure measures. Around 2012 or so, Medicare started trying to tie payment to those numbers." #LanternCare #HealthcareQuality #PatientReportedOutcomes #HealthTech #AIinHealthcare #ValueBasedCare #SurgeryQuality #SurgicalOutcomes #DigitalHealth #ClinicianInnovation lanterncare.com  Listen to the podcast here

Dr. Jason Tibbels, Chief Medical Officer at Lantern, discusses how healthcare quality measurement has evolved and why specialty care providers need to use patient-reported outcome tools to provide real-time feedback for continuous clinical improvement.  The challenge is to determine whether procedures are clinically appropriate and effective, capture what matters to patients, and document side effects that may occur. Jason draws on his experience at Teledoc Health establishing virtual care quality standards to suggest similar regulatory battles ahead for AI in medicine and the use of AI tools to catch critical details human review alone might miss. Jason explained, "Lantern is the leading specialty care platform for three main areas: surgery, infusion therapy, and cancer care management. It's available through employers, union health funds, and, more recently, even through health plans. And these three categories make up about 50% of employer healthcare spend. So we address that spend by connecting employees, members, or patients with very high-quality care, close to home, at materially lower costs. And today we support about 12 million growing members across about a thousand employers nationwide."   "To me, the modern history of the healthcare quality movement started around the turn of the century. The big To Err Is Human report came out, which at the time estimated that medical mistakes were killing somewhere around a hundred thousand Americans a year, which is like a jet plane crashing every day. A couple of years later, the blueprint for how we should think about quality came out to address safety and effectiveness and patient-centeredness and equity and other domains. And it kind of became the blueprint, but over the next decade, it was really about building report cards. We started seeing hospitals share publicly reported infection rates and a lot of process and infrastructure measures. Around 2012 or so, Medicare started trying to tie payment to those numbers." #LanternCare #HealthcareQuality #PatientReportedOutcomes #HealthTech #AIinHealthcare #ValueBasedCare #SurgeryQuality #SurgicalOutcomes #DigitalHealth #ClinicianInnovation lanterncare.com Download the transcript here