🎧 New Podcast Episode: The Blood–Brain Barrier in Multiple Sclerosis — From Dysfunction to Treatment The blood–brain barrier is often described as the gatekeeper of the brain. But in multiple sclerosis, its role may extend much further. In this episode of the @ECTRIMS Podcast, Prof. Elga de Vries of @amsterdamumc and MS Center Amsterdam joins host Brett Drummond of @MStranslate to explore how blood–brain barrier dysfunction is shaping our understanding of MS — from immune cell infiltration and inflammation to disease progression and future treatment strategies. 𝐓𝐡𝐞𝐲 𝐝𝐢𝐬𝐜𝐮𝐬𝐬: 🔹 What happens when the barrier becomes dysfunctional 🔹 Changes occurring in both white and grey matter 🔹 Blood–brain barrier-on-a-chip models and what they could reveal 🔹 The challenge of getting treatments into the CNS 🔹 Whether the barrier itself could become a therapeutic target Could protecting or strengthening the blood–brain barrier eventually help change the course of MS? 🎧 𝐋𝐢𝐬𝐭𝐞𝐧 𝐧𝐨𝐰: 𝐒𝐩𝐨𝐭𝐢𝐟𝐲: bit.ly/3UJxqrQ 𝐀𝐩𝐩𝐥𝐞 𝐏𝐨𝐝𝐜𝐚𝐬𝐭𝐬: apple.co/3SBmw6T 𝐖𝐞𝐛𝐬𝐢𝐭𝐞: bit.ly/3UJxpUO #MultipleSclerosis #BloodBrainBarrier #MSResearch #Neuroimmunology #Neurology #Neuroinflammation #MSProgression #CNS #DrugDelivery #ECTRIMS #ECTRIMSPodcast

🎧 New Podcast Episode: Predicting MS — Can Data Bring Us Closer to Personalised Care? Two people of the same age, with a similar duration of MS and apparently similar MRI scans, can experience completely different disease trajectories. So how do we predict what comes next for an individual? In this episode of the @ECTRIMS Podcast, Dr. Will Brown from the Cambridge Clinical Multiple Sclerosis Research at @Cambridge_Uni and Dr. Carmen Tur from @cemcat_em join Brett Drummond from @MStranslate to explore how large real-world datasets and predictive modelling are changing what researchers can ask about multiple sclerosis. 𝐓𝐡𝐞𝐲 𝐝𝐢𝐬𝐜𝐮𝐬𝐬: 🔹 Why the biological and clinical heterogeneity of MS makes prediction so difficult 🔹 How large real-world datasets are changing what researchers can investigate 🔹 The challenges of missing data, non-random treatment allocation and defining meaningful clinical outcomes 🔹 How AI and machine learning could contribute — and why a good model still begins with the right clinical question 🔹 How underrepresentation in datasets could deepen existing health inequalities 🔹 What must happen before predictive tools can meaningfully influence treatment decisions in clinical practice The potential is significant. But as Will and Carmen explain, accurately predicting an outcome is only the beginning — the ultimate test is whether using that prediction actually improves care. 🎧 𝐋𝐢𝐬𝐭𝐞𝐧 𝐧𝐨𝐰: 🟢 𝐒𝐩𝐨𝐭𝐢𝐟𝐲: bit.ly/4xiC6mM 🍎 𝐀𝐩𝐩𝐥𝐞 𝐏𝐨𝐝𝐜𝐚𝐬𝐭𝐬: apple.co/3Sx5ZR6 🌐 𝐄𝐂𝐓𝐑𝐈𝐌𝐒: bit.ly/46pa7G7 #MultipleSclerosis #MSResearch #PrecisionMedicine #PersonalisedMedicine #RealWorldData #BigData #ArtificialIntelligence #MachineLearning #Neurology #Neuroimmunology #ECTRIMS #ECTRIMSPodcast