Ruby Gadelrab Tudor

Dr. Vohra-Khullar, Dr. Dbouk, and Dr. Solis discuss Emory’s innovative use of generative AI and ambient listening to reduce physician burnout and enhance patient care. Learn how AI is transforming healthcare! #WomenInMedicine #WomenInAI #Burnout #AI #PatientCarehttps://buff.ly/4guyiag

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Curious how we’re transforming digital engagement in life sciences? Check out this insightful Q&A with our Co-Founder and President, Ahmed Elsayyad. He shares the journey behind Ostro and how we’re helping make medicine make sense. #AI #HealthTech #Innovation https://hubs.ly/Q02S5rdw0

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Intelligent Solutions Discovery (ISD) is revolutionizing healthcare through AI powered clinical research, world class specialized capacity building and consultancy solutions. #saudivision2030 #Nationalbiotechstrategy #healthcareinnovation #clinicalresearch #AIsolutions #Intelligentsolutionsdiscovery #launch

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If AI is going to be more than hype and hallucinations, the trillion-dollar pharma industry is where the magic may happen. My latest for Fortune. No one is more ready to make AI's promise come true than Sanofi CEO Paul Hudson. Last week, Hudson proudly announced his company’s new partnership with OpenAI and Formation Bio, a biotech. In the first-of-its-kind partnership, Sanofi will give OpenAI access to its databases, hoping that generative AI can be the key to quicker and more effective drug development. “Large-language models give us this insane opportunity to suppress, summarize, and create,” Hudson told me on the phone from Paris. “It can help us get to a level in R&D where you can design a [drug candidate’s] molecular structure or identify appropriate patients that a drug will benefit.” Is this then the generative AI application the world has been waiting for?  “It costs us 3-4 billion [dollars] to develop a drug, and 80% fail in phase 1 clinical trials,” Hudson said. “I’d like to know in advance what will fail. [Our collaboration with OpenAI] is putting that money to work in other projects with a higher probability of success.” Neither is the promise of #AI in #healthcare years or decades away, Hudson believes. The first results of Sanofi’s OpenAI collaboration should be in by the end of 2024 and will most likely take the form of AI-generated first drafts of FDA documents. The results of the more profound work on research and development and drug discovery should follow soon after. “I want to see early signs next year,” he said. Still, whether this new partnership will indeed one day unlock billions of dollars in savings or new blockbuster revenues remains to be seen. But Hudson did stress that it is this kind of tie-up between industry and AI innovators on cutting-edge and high-value projects is the real deal. “We knew we needed to not just buy a license [for the internal use of OpenAI],” he said. There’s a certain vanity to such licensing deals, which essentially create a “powerful Google.” “You can feel good about [OpenAI licensing]. You can write a press release.” This partnership, however, “is less about that, and more about operationalizing LLMs.” https://lnkd.in/eqz94fVF

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We're excited to share a thought-provoking piece by datma CEO Noah Nasser in HIT Consultant Media: "Unlocking Real-World Data to Advance Precision Medicine in 2025." In this article, Noah discusses the transformative potential of real-world data (#RWD) in enhancing patient care and advancing precision medicine. Discovery how federated data models are revolutionizing data sharing and utilization while maintaining stringent privacy standards. Read the full article to explore how these innovations are shaping the future of healthcare: https://lnkd.in/g7Bwfk-Z #RealWorldData #FederatedLearning #DataMonetization #HealthcareInnovation #PrecisionMedicine

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Check out this insightful piece from datma CEO Noah Nasser in HIT Consultant Media: "Unlocking Real-World Data to Advance Precision Medicine in 2025," where he shares how federated data models are not only enhancing patient care but also ensuring stringent privacy standards in healthcare. #RealWorldData #FederatedLearning #DataMonetization #HealthcareInnovation #PrecisionMedicine

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The #MiddleEast is leveraging #GenerativeAI and cutting-edge tech to revolutionize #Drugrepurposing. By integrating these innovations, the region is advancing treatments for complex #diseases while boosting efficiency. 💡Explore more: https://hubs.ly/Q02YtvSD0 #PharmaRevolution #MiddleEastInnovation #StrategicImperatives

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How can AI be implemented in health systems to solve the growing complexity of care? On the NerdMDs podcast, Aidoc CEO Elad Walach described AI a mechanism for carrying signals between departments to trigger care pathways and expedite treatment. Hear the discussion below 👇.

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It's promising to see Beamtree expanding into Saudi Arabia's private health sector with their $2M AI deal with Dr. Sulaiman Al Habib Medical Service Group (HMG). The use of Beamtree’s PICQ and RippleDown technologies will help automate and enhance clinical coding processes, improving data quality and operational efficiency. At Aspire Life Sciences, we recognize the crucial role of high-quality data in healthcare. This collaboration aligns with the trend of leveraging AI to support healthcare providers in managing patient records and resources effectively. Accurate clinical coding is essential for maintaining reliable patient data and efficient hospital operations. We look forward to seeing the positive impact of this partnership on the region’s healthcare landscape. Supporting advancements that improve patient care and operational efficiency is a priority for us at Aspire Life Sciences. https://lnkd.in/g7wkraDE #AspireLifeSciences #clinicaltrials

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Medtech startup Qure.ai has raised $65 Mn (INR 543 Cr) in a Series D funding round: 1️⃣ The round was co-led by Lightspeed Venture Partners and 360 ONE Asset Management. 2️⃣ Additional participants include Merck Global Health Innovation Fund, Kae Capital, Novo Holdings, HealthQuad, and TEAMFund. 3️⃣ The funding will support expansion in the US and other markets, improve GenAI models, and finance acquisitions. 4️⃣ Qure.ai, founded in 2016 by Prashant Warier, uses AI for medical imaging diagnostics, detecting brain trauma and chest diseases. 5️⃣ Its #AI algorithms can analyze X-rays, CT Scans, and MRIs faster than doctors. 6️⃣ CEO Prashant Warier highlighted AI’s role in overcoming healthcare challenges, from drug discovery to patient management and surgical robotics. #EntrepreneurshipStudio #QureAI #StartupNews #FundingNews

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Digital Diagnostics' Founder and Executive Chairman, Michael D. Abramoff, MD, PhD, recently stepped in front of the camera to shed light on the transformative impact of our AI diagnostic system, LumineticsCore™. “It is better for outcomes. It is better for health disparities. It is better for health equity. It is better for lowering costs. It is better for physician satisfaction and physician productivity, which is something to be really proud of.” Watch the full video to learn more about how LumineticsCore is making a difference in healthcare: https://hubs.la/Q02TrFDj0 #DigitalDiagnostics #LumineticsCore #AItheRightWay #HealthcareInnovation

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Dr. Ebrahim Barkoudah, MD, MPH, MBA, talks about consumer-centric healthcare on the Bright Spots in Healthcare podcast with Eric Glazer. He highlighted the OATH model, devised by Dr. Andrew Arnstein, aiming to enhance continuity of care across life stages by integrating different delivery models. This model prioritizes patient data, delivery tactics, decision support systems, and social determinants of health to improve healthcare access and quality at lower costs. #HealthcareInnovation #PatientCentricApproach #OATHmodel

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🚨 𝗖𝗛𝗔𝗥𝗚𝗘 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗼𝗻 𝗣𝗮𝗿𝗮𝗴𝗼𝗻 𝗛𝗲𝗮𝗹𝘁𝗵 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲'𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 🚨 A recent report by Paragon Health Institute, featured in Fierce Healthcare, outlines a roadmap for the incoming administration's approach to healthcare AI policy. Kev Coleman’s recommendations, particularly around allowing AI solutions to operate without a human in the loop to save costs and promoting competition through AI-enabled devices, are bold and thought-provoking. These ideas bring up several important themes for the future of regulation: 1️⃣ 𝗘𝗻𝗳𝗼𝗿𝗰𝗶𝗻𝗴 𝗘𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀: Coleman advocates leveraging existing rules for AI safety, fairness, and privacy, avoiding redundant or duplicative laws. This pragmatic approach mirrors insights from a recent paper by Lee Fleisher and Nicoleta Economou in JAMA Health Forum, which explored the possibility of Centers for Medicare & Medicaid Services regulating AI through established patient safety procedures. 2️⃣ 𝗚𝗿𝗮𝗻𝘂𝗹𝗮𝗿 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻: AI is not a monolithic technology. Coleman highlights the importance of regulating specific AI types, such as large language models and computer vision, differently, ensuring precise definitions to avoid unintended consequences or unenforceable policies. 3️⃣ 𝗔𝗜 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆 𝗶𝗻 𝗟𝗼𝘄-𝗥𝗶𝘀𝗸 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀: Granting AI more autonomy in low-risk areas holds potential for productivity gains and cost savings. However, maintaining trust and safety requires continuous, localized monitoring to ensure these systems remain accurate and non-inferior to human alternatives. As healthcare AI evolves and the new administration’s approach to regulation unfolds, these considerations will be key in balancing innovation and oversight. Original article: https://lnkd.in/e8ST-TZH #HealthAI #Regulation #Compliance #Governance

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Oncology reimbursement has been challenging and eroding over the last several years even while patient numbers are increasing and biomedical innovations are accelerating. Pending CMS proposals for 2025 may increase these challenges, limit provider investments and capabilities, and constrain patient access. Please read our perspective. #concertai #ASCO #oncology https://lnkd.in/eJ6t-GUe

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“An increasing number of healthcare organizations are implementing or testing generative AI applications, evaluating their impact on the productivity of clinicians and the quality of care. Israel’s Sheba Medical Center, addressing a global shortage of mental health professionals, has developed in collaboration with Microsoft and KPMG a generative AI-based platform that has demonstrated highly accurate diagnostic skills.” Check out the full article 👇 https://lnkd.in/d6mNfHRE

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