HealthAI - The Global Agency for Responsible AI in Health’s Post

📌AI innovator talks personalised treatment, telehealth enhancement and ethics Artificial intelligence has the potential to revolutionise the way healthcare is delivered. And many healthcare professionals are exploring exactly what AI can do and deploying systems to help health systems manage care and patients manage their health. https://lnkd.in/gq6TmDA4 📌BioLizard Announce Swiss Subsidiary and Service Offering for AI-Powered Digital Transformation of Life Science BioLizard offers support to its Swiss clients in strategic consulting, disease profiling, and drug discovery & development from early stages to clinical trials. The company has recently released its BioVerse software platform constituting three applications, for scientific literature searches, microbiome analysis and multi-omics data analysis. https://lnkd.in/gJJc4zAi 📌Revolutionising elderly healthcare: Technologies spearhead a new chapter in senior care The world is witnessing an unprecedented revolution—one that isn’t powered by technology or innovation, but by the inexorable march of time itself. This is the aging revolution, a transformative journey that is reshaping our healthcare landscape, particularly in the realm of elderly health. https://lnkd.in/gXiaqxMR 📌Revolutionising Pharma-MedTech: India allocates Rs 5,000 crore to propel research and innovation This long-term scheme aims to fortify pharmaceutical infrastructure and propel research across six transformative areas. In a move towards advancing research and innovation in the Pharma-MedTech sector, the Ministry of Finance announced the "Promotion of Research and Innovation in Pharma-MedTech" https://lnkd.in/diNX5JSr #NewsWrap #LifeSciences

During conversations about healthcare innovations, the inclusion of health equity is essential. With the emergence and implementation of exciting new healthcare technology and logistics management systems, it’s important to consider equity in both access and application of healthcare technology. When it comes to development, algorithmic fairness is an important factors that determines the inclusivity and equity of technology down the line. Without fair and ethical practices supporting the creation of technology, it can’t be used ethically or responsibly either. This principle also applies post-development. Even technology with strong patient benefits cannot succeed without equitable allocation to all areas of need. Addressing these ethical concerns and potential gaps is important for the future of care. #healthcare #AI #EthicalHealthcare #HealthEquity

The entry of technology and digital platforms into the health sector has allowed for the expansion of healthcare from traditional healthcare facilities, thereby overcoming geographical barriers and giving birth to telemedicine. Information technologies enable the delivery of healthcare services, even when distance is a critical factor. These technologies facilitate the exchange of valid information for diagnosis, treatment, and management of diseases and injuries. They also aid in research and evaluation, and support the continuing education of healthcare providers. These efforts are aimed at improving the health of individuals and communities. However, despite providing a platform where health can be easily accessible to all despite location, telemedicine also exposes patients to unethical practices, such as leaking their data to non-intended users and sometimes hackers, highlighting the need for sound ethical governance practices. There is a need for ethical governance and regulatory frameworks for the application and use of digital technology in health, which will minimise the infringement of patients' ethical rights and privacy. https://lnkd.in/gvhmqbP2

I can’t wait to participate in the event ‘Digital twins: Ethics and clinical uses’, next wednesday. I will talk about how, at ELEM Biotech, we develop #DigitalTwins pairing real people, each of whom has #SpecificTraits. Please, participate if you want to discover how these cardiac models are impacting the development of medical therapies. We started working on this project in 2005 and I remember how by then, between various biomedical applications, #CardiacModelling caught my attention. Thanks to a complex mathematical model of the heart, we could adapt it to a specific person or create a synthetic #population to perform tests. Now we can understand how #diseases, such #arrhythmia can develop in a few years… and much more…! See you next week at the Royal Society of Medicine!

Fantastic discourse on if, how and when AI will change the health workforce in Africa. This will go beyond loss of jobs to how job roles will be transformed. How do we increase the things that are important to patients - trust and human interaction - and reduce the knowledge deficit. How can we ensure AI in health is human-led and technology-enabled. #AfricaHealth24 #AmrefHealthAfrica

Apply today! Health Technology Regulation Director - #Geneva. HealthAI (formerly known as I-DAIR) is a Geneva-based nonprofit organization focused on the use of Responsible AI in the health sector. It has recently launched a new strategy to work with countries to expand their capacity to regulate AI in health systems by establishing and supporting in-country regulatory mechanisms. To find out more, please visit the link below #ai #technology

Digital twins are set to change healthcare. Generated from patient and population data, digital twins are virtual representations which simulate their real-world physical counterparts in a range of scenarios, offering groundbreaking applications for healthcare in precision medicine, clinical trials, and public health. And while we’re already seeing the use of digital twins being introduced in clinical practice, there is still work to be done to understand and define this new technology and consider the ethical implications. Dr Alice Byram MD, Council Member of the RSM Digital Health Section and Emergency and Family Medicine (GP) physician, is behind next week’s all-day conference aiming to demystify digital twins and provide a forum to discuss patient safety, regulatory frameworks and ethical issues for the new technology: “In silico trials, digital twins of healthcare systems and individuals are here to stay. As a clinician, I can see the immense potential of digital twins, but also the ethical dilemmas. We need to understand how regulation keeps patients and clinicians safe, and it’s important all stakeholders are involved in the conversation at this early stage while we are still at a point to impact the direction of this new technology. “To that end, we’re inviting non-clinicians whether from industry and pharma, investors, or third-sector and patient associations, as well as clinicians, to join us to investigate the huge potential and consider the ethical ramifications of digital twins in healthcare. “We’ll begin by introducing the concept of digital twins and sharing examples of how they’re already being used in the NHS and other healthcare systems, before exploring regulatory, philosophical and patient viewpoints with key speakers including Roger Highfield and Peter Coveney, authors of “ Virtual You: How Building Your Digital Twin Will Revolutionize Medicine and Change Your Life”, and Professor Prof Alejandro Frangi FREng, Lead of the InSilicoUK Pro-Innovation Regulations Network - one of the biggest centres in the field. Professor Kevin Fong will close the meeting with his keynote presentation, ‘Digital twins beyond the final frontier’. “I look forward to seeing you there – Wednesday 6 November at the Royal Society of Medicine.” #digitaltwins #digitalhealth #healthcareinnovation https://lnkd.in/eA3PcHUM

We need good evidence that these tools can deliver in real-world clinics, without compromising quality, safety or ethics #DigitalHealth #eHealth #HealthIT #MedTech #HealthTech  #AI  https://shorturl.at/mLba5

🚀 The Future of Healthcare: AI’s Unparalleled Impact is Just Beginning! 🏥🤖 Healthcare has long been slow to adopt new technology, but that’s about to change dramatically. As Julie Yoo brilliantly highlights, AI is set to revolutionize the industry in ways beyond anything we've seen before. With a massive staffing crisis—over 100,000 doctors and nurses are needed to meet growing demands—AI isn’t just another tool; it’s an indispensable ally that scales clinical judgment and reduces the administrative burden on our healthcare heroes. The potential here is staggering—AI isn’t merely disrupting a market; it’s transforming a $4 trillion industry! What’s even more exciting is that the healthcare sector already has the regulatory framework in place, making it uniquely poised to harness AI's full potential. This not only sets a high barrier to entry but also establishes a strong moat for those who succeed. 💼 As a general surgeon with experience in healthcare AI, I find this evolution particularly inspiring. I’m currently open to new opportunities where I can contribute to projects that harness AI to enhance patient care and streamline healthcare operations. If you know of any positions or have connections in this dynamic field, I’d appreciate any referrals or introductions. Let’s connect and shape the future of healthcare together! 🌍 Let’s seize this leapfrog opportunity to build a future where healthcare is smarter, faster, and more accessible for everyone! 🌍💡 #AI #HealthcareInnovation #DigitalHealth #ArtificialIntelligence #HealthTech #ClinicalAI #FutureOfHealthcare #HealthcareRevolution #MedicalAI #TechTransformation #OpenToWork

𝗟𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁 𝗱𝗮𝘁𝗮 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝗶𝗻 #𝗱𝗶𝗴𝗶𝘁𝗮𝗹𝗵𝗲𝗮𝗹𝘁𝗵 💻 📈    Access to large, high-quality datasets have strict privacy laws often restricting the sharing or real EHRs, impeding the development of advanced AI-based healthcare technologies that are generalized and not overfitted.   "𝘜𝘵𝘪𝘭𝘪𝘵𝘺 𝘰𝘧 𝘎𝘈𝘕 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘴𝘺𝘯𝘵𝘩𝘦𝘵𝘪𝘤 𝘥𝘢𝘵𝘢 𝘧𝘰𝘳 𝘤𝘢𝘳𝘥𝘪𝘰𝘷𝘢𝘴𝘤𝘶𝘭𝘢𝘳 𝘥𝘪𝘴𝘦𝘢𝘴𝘦𝘴 𝘮𝘰𝘳𝘵𝘢𝘭𝘪𝘵𝘺 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘰𝘯: 𝘢𝘯 𝘦𝘹𝘱𝘦𝘳𝘪𝘮𝘦𝘯𝘵𝘢𝘭 𝘴𝘵𝘶𝘥𝘺" a paper that explores the following:   ✅ Techniques like Generative Adversarial Networks (GANS) are used to create synthetic datasets for various applications, including disease prediction and medical research.   ✅ Synthetic data using model CTGAN achieved high accuracy of 92% which performed comparably to real data, demonstrating the potential of synthetic data to serve as a viable alternative in medical applications.   ✅ Data equity is promoted through synthetic data by generating high-quality, privacy-preserving datasets, allowing researchers and healthcare providers in under-resourced settings to access the same level of data.   ✅ Synthetic data takes patient privacy to a new level by retaining its sensitive nature since it does not include any real patient identifiers, the research found that none of the synthetic records were identical to any real records.   Synthetic data could potentially be a revolutionary advancement since it enables a more inclusive and equitable healthcare research and practices. However, critics argue that synthetic data may not capture the full complexities of real-world data, potentially enhancing biases and inaccuracies in predictive models.   Can SD bridge the gap between privacy and utility? Share your thoughts in the comments below 👇 💭   🖊️Credits to authors Shahzad Ahmed Khan, Hajra Murtaza & Musharif Ahmed —————————————————— 𝘏𝘪! 𝘐 𝘢𝘮 𝘎𝘩𝘢𝘥𝘦𝘦𝘳 𝘈𝘭 𝘙𝘶𝘸𝘢𝘪𝘴𝘩𝘦𝘥𝘪 👋🏻 𝘈 𝘉𝘪𝘰𝘮𝘦𝘥𝘪𝘤𝘢𝘭 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘴𝘵𝘶𝘥𝘦𝘯𝘵 𝘸𝘪𝘵𝘩 𝘢 𝘱𝘢𝘴𝘴𝘪𝘰𝘯 𝘧𝘰𝘳 𝘈𝘐 𝘪𝘯 𝘩𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦 🤓 𝘐 𝘸𝘳𝘪𝘵𝘦 𝘱𝘰𝘴𝘵𝘴 𝘦𝘷𝘦𝘳𝘺 𝘔𝘰𝘯𝘥𝘢𝘺 𝘢𝘯𝘥 𝘛𝘩𝘶𝘳𝘴𝘥𝘢𝘺 𝘢𝘥𝘷𝘰𝘤𝘢𝘵𝘪𝘯𝘨 𝘧𝘰𝘳 𝘣𝘦𝘵𝘵𝘦𝘳 𝘩𝘦𝘢𝘭𝘵𝘩 𝘦𝘲𝘶𝘪𝘵𝘺 𝘢𝘯𝘥 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘭𝘦 𝘈𝘐 𝘪𝘯 𝘩𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦 🔎🩺 𝘓𝘦𝘵’𝘴 𝘤𝘰𝘯𝘯𝘦𝘤𝘵 𝘢𝘯𝘥 𝘭𝘦𝘢𝘳𝘯 𝘧𝘳𝘰𝘮 𝘰𝘯𝘦 𝘢𝘯𝘰𝘵𝘩𝘦𝘳! 🔗 —————————————————— #medtech #healthcareinnovation #healthtech #healthcare #machinelearning #syntheticdata #healthequity #aiinhealthcare #aiethics #responsibleai #medicalresearch