Spencer Jones PhD

Digital4Health Worldwide is leading the transformation in digital health and HealthTech by enhancing patient lives through prevention, improved healthcare efficiency, and the implementation of innovative solutions. Leveraging our open innovation methodology, we work closely with both public and private hospitals and clinics to develop tailored proof-of-concept solutions that address their unique challenges. With a global network of over 10,000 startups and corporations across 30 cities on 5 continents, we provide advanced, personalized solutions worldwide. Our organization is positioned as an unparalleled leader in digital health, with a unique capacity to make a global impact. 🌍💡 Our Focus Areas are: Digital Health 🏥💻 to implement broad solutions that improve clinical effectiveness, patient experience, and healthcare service efficiency. Key Components: Patient Experience: Personalized patient care through AI technologies and advanced digital platforms; Operational Efficiency: Digitization of processes to maximize resources and reduce waiting times; Clinical Effectiveness: Diagnostic and management tools that assist healthcare professionals in decision-making. HealthTech 📱🔬 to incorporate technological solutions that enhance patient care and monitoring. Key Components: Continuous Monitoring: Devices and platforms enabling constant patient tracking; User-Centric Devices: Technological tools to empower patients in their own care and health tracking and Health Insurance: Implementation of healthtech solutions to optimize information management and insured patient experience. Our Validation Process: SIG (Strategic Innovation Gateway) Operations 🚀 are rigorous, closed-door workshops conducted with hospitals and insurers in alignment with our core focus areas. In these sessions, we work closely with each organization to identify their unique challenges, and then we source open innovation solutions from our extensive network of startups and corporations worldwide. This creates a seamless union of supply and demand, resulting in numerous success stories across Europe and the Americas. The next SIG will be announced in the coming days, focusing on verified challenges, and we will proceed with the project selection process among nearly 4,000 startups and entrepreneurs across Ibero-America. Transforming and enhancing the lives of our patients worldwide! #DigitalHealth #HealthTech #Innovation #PatientExperience #HealthcareEfficiency #OpenInnovation #HealthTransformation #SIG #Digital4Health

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Singapore’s Ministry of Health has announced a bold investment of SG$200 million (USD $150 million) to scale AI adoption across its national healthcare system, targeting efficiency and enhanced patient outcomes. Key Initiatives: 👉 Generative AI in Documentation: By 2025, generative AI tools will automate record updates, reducing the time healthcare professionals spend on documentation, allowing them to focus more on patient care. 👉 AI-Enhanced Medical Imaging: The MOH aims to introduce AI-powered breast cancer detection as part of a national subsidized screening program, leveraging the tech to assist radiologists in early and accurate diagnoses. 👉 National Health AI Platforms: The investment will support platforms like AimSG, a national radiology AI system allowing hospitals to integrate advanced imaging AI into everyday workflows, streamlining radiology processes across public hospitals.   Why This Matters: Singapore’s investment highlights the transformative role AI can play in public health by improving operational efficiency, early detection, and treatment outcomes. As healthcare systems globally face mounting pressures, Singapore’s approach could serve as a model for integrating AI responsibly and at scale, setting new standards for digital health innovation. #AI #AIHealth #TechForGood

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Thank you Sigrid Berge van Rooijen, for your insightful post. On the whole, I feel, all are valid and useful observations. However I would caution us not to overemphasise the interoperability puzzle. Or at least not to the point where the drive to standardize data formats becomes all consuming, as there are at least two immediate issues that I see with that: First off, when looking at what healthcare data is collected in different places in the healthcare system, especially across borders, there are significant differences, not only in coding formats and data structures, be very much also in what is being recorded and what not. As a result, any attempt to standardise will require decisions on how to reflect such differences in the absence or presence of codes, for the range of different healthcare interventions and -observations. An approach whereby the standardised dataset specification is based on the "lowest common denominator" would result in significant loss of resolution / detail, and thus reduce the potential for deriving valuable insights from that common dataset. Secondly, medical standards, -practices and -guidelines are not the same. For example, in one country alternative medicine such as homeopathy may be fully integrated in the medical practice. In others it may not. The implications of such differences extends beyond just the issue outlined in my first caution. It means that, even when harmonised fields are available for it, the absence or presence of data cannot be attributed the same meaning across different healthcare systems or settings. And conclusions derived from on one set of data, are not valid by definition, for the matching common data set from another setting. Both points contribute to why AI adoption in healthcare is so difficult, as they have significant implications for the ability to scale up and scale out AI solutions. Thankfully, there are good ways to overcome these challenges, which we build into our #aisolutions at Volv Global SA! #aiadoptioninhealthcare #inTrigue #inClude #inVolv

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The challenges faced by Mayo Clinic’s Solutions Studio in developing digital health solutions—such as data privacy, AI ethics, commercialization, and integration—are highly relevant to European healthcare systems. Many of the solutions proposed by Mayo Clinic Platform, especially around secure data use, transparency, and comprehensive support for developers, could be adapted to the European context. However, applying these solutions in Europe would require careful consideration of the diverse regulatory environments, healthcare system structures, and funding models. There is significant potential for adapting the Mayo Clinic's approach to foster innovation within the European healthcare landscape, but it would need to be tailored to fit the specific needs and constraints of the various European countries.

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In good complementarity to todays release of the EVOBRUTINIB in MS Trial (EVOLUTION), Maria-Pia Sormani and myself put together a commentary in Lancet Neurology about the problem of trial designs in MS: Key Insights are: 1. Complexity and Necessity: Non-inferiority trials in MS are crucial for comparing new treatments against existing ones, particularly when standard therapies exist. These trials aim to show a new drug’s effectiveness with added benefits like fewer side effects, but they require larger sample sizes and more complex designs than superiority trials. 2. Regulatory Challenges: Current regulatory standards often require placebo-controlled trials, even when a non-inferiority design would be more ethical and informative. This conservative approach may hinder the evaluation of new treatments that could offer significant benefits over standard therapies. 3. Need for Innovative Approaches: With many effective MS drugs already reducing relapse rates, the focus should shift from merely proving superiority over moderately effective treatments to exploring innovative trial designs. This approach can better address patients’ needs and advance research in MS treatment. This call for action is currently taken onwards by a combined effort between ISNI (#InternationalSocietyofNeuroimmunology, #ISNI) and the National MS society with its MS clinical trial committee plus multiple other relevant stakeholders. 🧠💡 #MultipleSclerosis #ClinicalTrials #MedicalResearch #PharmaInnovation #NonInferiorityTrials #MSAct #THEFUTUREOFMSTRIALS

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Robotization, nanotechnologies offer amazing promises for disabled patients - now, if we look into the potential of enhanced brains with implants + AI, what will it produce? It is already universally accepted that AI will overcome human intelligence in the next couple of years, and much faster that we initially anticipated. Are we prepared for that revolution? Can we compete? Have we ever seen a less intelligent species ruling over a more intelligent one? For those of you interested in exploring those aspects, I can only encourage you to read more on the topic. It is coming and it is critical that the debate happens at all layers of the society if we want to take informed decisions at a political level. Any reflexions?

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Probably the biggest “risk” for any healthcare system is buying the Silicon Valley Myth that #Ai can “transform” or “revolutionize” an embedded or embattled economic system, particularly one that’s rotating in an orbit of obsolete market theory. Just ask collapsing Walgreens, CVS Health, Wipro, WPP and 23andMe. Operations isn’t strategy. And all technology is operations. “At a time when there are more than seven million patients on the NHS waiting list in England and around 100,000 staff vacancies, artificial intelligence could revolutionise the health service by improving patient care and freeing up staff time….” No it won’t. The British Way of Healthcare, just like the American Way of Healfhcare, has a strategic problem, not a technical one. The Big Idea Machine is broken. And all the technical potential that all the money in the world can buy won’t “fix” it. Just ask collapsing Walgreens, CVS Health, Wipro, WPP and 23andMe. #TheStrategicDirectionThing

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AI is a hot topic when it comes to the #futureofmedicalaffairs and there are certainly some challenges to consider: 🔉 Data Privacy and Security: Ensuring the secure and ethical use of patient data is crucial. 🔉 Transparency and Explainability: AI models should be transparent and explainable to ensure trust and acceptance among stakeholders. 🔉 Human-AI Collaboration: AI should complement and augment the expertise of medical affairs professionals, not replace them - this one is my favourite! AI has the potential to significantly enhance the efficiency, effectiveness, and impact of medical affairs teams in the pharmaceutical industry. By embracing it, we can gain valuable insights, personalize communication, streamline processes, and ultimately improve patient care. Get in touch to find out more.

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Admittedly niche but really interesting https://lnkd.in/dEPf3w4f

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Does the Future of Healthcare Lie in Mathematics or Philosophy? As artificial intelligence (AI) increasingly becomes part of our lives, we should ask ourselves if we better entrust these “superintelligent machines” with making complex decision? AI appears to be improving rapidly, with every new release of an OpenAI version and the growing numbers of AI based applications. At its core, AI is built on the hypothesis that any human decision can be distilled into a set of rules. If that's true, and AI keeps getting better, should we then prioritize mathematics over more abstract disciplines like philosophy or literature? If we examine healthcare, it is apparent that good practice involves collecting vast amounts of information and processing it for sound decision-making. AI excels at handling big data: generating, organizing and processing it, to deliver clear, actionable insights. Does this mean that healthcare strategists and policymakers should focus on mathematics rather than on philosophical studies? There's a tale about Euclid, the father of geometry. When a merchant once questioned the practical value of geometry—asking how it could help him sell goods at his market stall—Euclid gave him a coin, realizing that not everyone can grasp the value of an intangible science. Health is not just about the prevention or treatment of illness. Health is about well-being. Well-being is a philosophical concept. As with so many complementary opposites—Yin and Yang, Plato’s black and white steeds, Kahneman and Tversky’s fast and slow thinking—it is all about finding the right equilibrium, while no component is more or less important. Humanities, including philosophy, are just as critical as mathematics in creating a better healthcare system. Healthcare systems' strengthening lies in the algorithms and numbers as much as in the ability of its' strategists and policymakers to engage with philosophy, literature, and the broader life sciences. After all, as a former Canadian Minister of Health once said, it's not just about adding years to life; it’s about adding life to years.  #AIinHealthcare #PhilosophyInTech   #HealthcareInnovation #ArtificialIntelligence #EthicsAndAI   #HumanitiesAndAI  #HealthcareStrategy  #TechAndHumanity  #AIandPhilosophy  #FutureOfHealthcare   #WellBeingMatters #DigitalTransformation  #AIRevolution #HealthEquilibrium #Storytelling   #StorytellingInHealthcare   #NarrativeMedicine  #PowerOfStorytelling

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It's clear the potential impact patient organizations can have in harnessing the power of health data to drive positive change in healthcare. Data Advocacy is crucial for our healthcare systems to make the most of healthcare data for the benefit of patients and communities. Thank you European Patients'​ Forum for the great work with #DataSavesLives spreading the message and empowering patients. When it comes to healthcare, the power of data cannot be overstated. The insights gained from health data can revolutionize patient care, improve healthcare systems, empower individuals, and drive medical research forward. It's exciting to see the potential for data science, algorithms, and artificial intelligence to transform the way we approach healthcare. Leveraging health data for better decision-making, treatment development, and public health strategy is crucial for delivering more efficient, personalized, and cost-effective care. This is a pivotal moment for the healthcare industry, and the opportunities for positive change are immense. #HealthData #DataScience #HealthcareInnovation #PatientAdvocacy #Data #Advocacy

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Thoughts on this? >> MBZUAI Researchers Release Atlas-Chat (2B, 9B, and 27B): A Family of Open Models Instruction-Tuned for Darija (Moroccan Arabic) >> Comment below! >>> lqventures.com #industry40 #healthtech #AI #IoT #mhealth

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🎙 I am thrilled to announce the release of our latest podcast episode featuring @Andrew Rut , CEO of @Metadvice , where we delved into the fascinating world of AI-driven healthcare solutions. 🎙 In this episode, we explored how AI is revolutionizing clinical decision-making to drive improved outcomes for patients, clinicians, and healthcare systems. Here are three key takeaways from the insightful conversation with Dr. Rut: ⭐️ Personalized Medicine Through AI: Dr. Rut highlighted the importance of personalized medicine in healthcare. With the help of neural networks trained in medicine and specific therapeutic areas, Metadvice is leveraging AI to provide tailored recommendations for individual patients. By analyzing historical data and creating digital twins of patient cohorts, the system can optimize treatment strategies based on individual responses, moving us closer to achieving true precision medicine. ⭐️ Diverse Data for Better Representation: One of the standout features of Metadvice's approach is the use of synthetic data to ensure a more representative data sample. By incorporating data from various ethnic populations and regions, the AI system can offer nuanced recommendations that cater to the specific needs of diverse patient groups. This emphasis on inclusivity and diversity in data sets is crucial for addressing healthcare disparities and improving outcomes globally. ⭐️ Collaboration with Pharma for Post-Approval Programs: Dr. Rut discussed the collaboration between Metadvice and pharmaceutical companies in the post-approval phase of drug development. By leveraging AI to analyze real-world data and optimize treatment plans, pharma companies can enhance their evidence base for reimbursement and formulary positioning. This strategic approach during late-phase clinical trials can lead to more compelling benefit-risk profiles and better outcomes for patients. If you're interested in learning more about the intersection of AI and healthcare, I highly recommend tuning in to this episode with Dr. Andrew Rut. See below on spotify or find on Apple podcasts. https://lnkd.in/duBGBuNY To listen to the full conversation and gain valuable insights into the future of clinical decision-making, visit Metadvice or reach out to Dr. Rut directly at [email protected]. #AIinHealthcare #clinicaldecisionmaking #diversity

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This makes me wonder if reducing high stakes calls is a bad thing? Some of the most immediate applications of AI in pharma are in clinical diagnosis (rather than discovering blockbuster drugs). Human error and subjectivity in diagnosis can have all sorts of repercussions. As this article highlights in pathology, imaging, even differential diagnostics; there is a role for AI to play in de-risking human decision making. https://lnkd.in/enH5cFMm. There are also certain fields where there is more immediate scope for innovation and impact. You might be inclined to think that spotting a super rare and hard to diagnose cancer would be it but AI lives and dies on data volume and data richness. One area we are looking at in particular is the GI space (and IBD in particular) where patient populations are large and endoscopic and pathology images are readily available. That's a court AI would love to ace. (I couldn't resist)

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How patients with motor impairment caused by indications may benefit from the brain-computer interface (BCI) has been widely reported. Inspiring stories capture public interest, or a strategic priority in some cases, aiming at movement regain amid favourable funding dynamics. The quoted startup, focusing on vision restoration, trials an alternative business model embedded into laboratory processes if not cash flow assurance as an imperative. Equally important, innovation addresses real-world challenges towards betterment. According to deal statistics, BCI has been funded more than a single-digit billion USD in the past ten years. The most amount is in 2021, and a low triple-digit million USD in 2024 till now. BCI as an industry can be a long game indicated by the target attainable market and established penetration rate. Granularity may help uncover targeted opportunities, segments, roadmaps, and broader impact on unmet needs. Non-business-related, vendor-agnostic innovation trend spotting. Courtesy of various sources.

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🌐 The Future of Digital Health is Here The digital health revolution is gaining momentum, with innovation reshaping how we monitor, diagnose, and manage health: 🔍 Smarter Wearables: Tomorrow’s devices will track more than just steps—they’ll monitor a wide range of health metrics in real-time, empowering individuals and healthcare providers with actionable data. 🤖 AI-Powered Insights: Advanced algorithms will turn data into personalized health strategies, enabling early disease detection, optimized treatments, and predictive analytics for better outcomes. 🏥 Transforming Care Delivery: Remote patient monitoring, AI-driven diagnostics, and telemedicine are becoming the norm, enhancing access and improving chronic care management. The fusion of cutting-edge tech with healthcare promises a future where health is more proactive, personalized, and precise. What excites you most about these advancements? Let’s discuss! 👇 #DigitalHealth #AI #WearableTech #Innovation #HealthcareTransformation

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