Michal Myszkowski

Tired of hearing about Agentic AI? Get used to it—because it’s only getting louder. Agentic AI—GenAI-powered agents designed for specific tasks—is making waves across industries, and healthcare is no exception. Enter Hippocratic AI (https://lnkd.in/eMf8K7EV), a startup that’s redefining what these agents can do in healthcare. With a $141 million Series B financing round just nine months after Series A, they’re turning ideas into action fast. Their promise? AI “staff” that health systems, insurers, and providers can hire to handle low-risk, non-diagnostic patient-facing services like check-ins and chronic disease support. When OpenAI launched 1-800-ChatGPT, it felt clever but lightweight—a fun experiment with limited practical implications. Hippocratic AI, however, pushes that concept into serious territory. Imagine AI agents proactively calling patients, scheduling follow-ups, or guiding them through clinical trials. Their demo isn’t perfect, but it’s a clear sign of where we’re heading. For pharma, the implications are massive—and challenging: - Clinical trial management: AI agents could revolutionize patient recruitment, engagement, and retention, making processes faster and more seamless. - Patient support programs: Chronic disease education and adherence support could finally become scalable, personalized, and effective. But let’s not overlook the challenges. From navigating regulatory hurdles to earning patient trust and integrating these agents seamlessly into workflows, success will require more than just ambition. It will demand careful planning, collaboration, and a focus on ethical implementation. And for pharma specifically, success comes down to two critical questions: 1. Do we have the mindset and capabilities to make this meaningful for patients? 2. Can we move beyond “nice pilots” and deliver full-scale strategies in months—not years? Agentic AI isn’t just another tech trend—it’s (another) transformation force. The companies that embrace it strategically will define the future of healthcare. #HealthcareAI #GenerativeAI #DigitalTransformation #PharmaLeadership

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In this 🆕 new era of AI-human collaboration, most of us will need one or more of what we call “fusion skills”, Since the #AI revolution isn’t coming; it’s already here, Some of these skills are 👍Intelligent interrogation (skill of thinking with AI), 👍 Judgment integration (ability to make human-machine interactions more trustworthy), 👍 Reciprocal apprenticing (the skill of tailoring gen AI as per your specific needs). Several techniques are highlighted in this article to improve these essential skills which helps in improving the accuracy of results. #Happyreading #weekend #genAI

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How Much Time Should We Spend on Strategy? One of the most common questions we at WhiteSpace Consulting & Capability Building get asked during our Brand Fitness Gym workshops or by our clients is, "How much time should we spend on strategy?" Our response is that it depends on the situation—there's no one-size-fits-all answer to this question. To explore this further, I drew a parallel from my training for running marathons, which offers valuable insights. Preparing for a marathon involves four  key components: -   Strength  -   Nutrition  -   Stamina -  Rest In a business context, these can be translated into: -   Strength = Strategy -   Nutrition = Capability building -   Stamina = Execution  -  Rest = Reflection and insight gathering  Strength (Strategy):  This is about building core competencies, much like strengthening the muscles in your legs, calves, and upper body for a marathon.  Nutrition (Capability building):  Just as nutrition fuels your body, Capability of the team builds your business  Stamina (Execution):  Actually running on the road builds your stamina and endurance, similar to executing your business plans. Rest (Reflection and insight gathering)- An essential part of training. A balance is a must Now, how much time should be spent on each of these areas? Below is a typical breakdown of time spent during a 4-6 month marathon training period: -   Strength (Strategy):                23% of the time -   Stamina (Execution):           56% of the time -   Rest:                                            22% of the time Interestingly, in business, we often suffer from "Action Bias," where we feel that if we're not constantly doing something, we might become redundant. However, focusing solely on execution without enough strategic planning can lead to burnout or misguided efforts. STRENGTH TRAINING (STRATEGY) Let’s zoom in on strength-building (strategy). A typical strength session lasts anywhere from 45 to 75 minutes, but not all of that time is spent on actual strength training. A typical session has three parts: 1. Warmup 2. Exercises 3. Cool down The key takeaway here is the quality of time spent. Even though we might allocate 23% of our time to strength training, only about 60% of that time (14% of the total time) is spent on actual strengthening. In business, this means that it’s not just about how much time you spend on strategy, but how effectively you use that time.  Conclusion: What’s important is not just the time you spend on strategy but the quality and focus of that time. Just as in marathon training, where balanced preparation is key to success, in business, a thoughtful balance of strategy, execution, and rest is crucial to achieving your goals. What is your take on how much time should a business or a brand spend of strategy?

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🧬 Unlocking the Future of Pharma with AI! 🧫 Imagine a world where pharmaceutical breakthroughs happen at lightning speed, driven by the power of artificial intelligence. In August 2023, the Pharma AI Readiness Index by CB Insights revealed which companies were leading the charge in this AI revolution. Curious to know who was at the forefront? 🏆 𝗧𝗼𝗽 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗲𝗿𝘀: Roche and Bayer were setting the pace, thanks to their significant investments in AI talent, innovation, and execution 💡 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: 𝗧𝗮𝗹𝗲𝗻𝘁: Attracting and retaining top AI specialists is crucial. These companies are excelling in building strong AI teams. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: Bringing AI-powered products to market and deploying AI across corporate functions is a game-changer. 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: Patents, acquisitions, and deal-making activities highlight their commitment to AI advancements. 📈 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: As AI continues to evolve, these companies are best positioned to harness its potential, driving innovation and improving patient outcomes. 🔗 𝗗𝗶𝘃𝗲 𝗗𝗲𝗲𝗽𝗲𝗿: Check out the full report to see how the top 50 pharmaceutical companies are preparing for an AI-driven future 👉 'Pharma AI Readiness Index: Who’s best-positioned for the AI boom?' - CB Insight https://lnkd.in/eWkVDuZV With so much to learn, the rapid evolution of AI in pharma and biotechnology is truly exciting. What are your thoughts on the future of AI in healthcare? #Pharma #AI #Innovation #Healthcare #FutureOfMedicine #CBInsights

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𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝟮𝟬𝟮𝟰 As we move further into 2024, digital health is truly changing the way we approach healthcare delivery. Several key trends are shaping the industry's trajectory and paving the way for enhanced care and improved patient outcomes. Here are some of the most notable developments: 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗶𝗻 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝘀 AI continues to disrupt healthcare, offering enhanced capabilities in diagnostics and treatment planning. Tempus AI, a leader in AI-driven precision medicine, is leveraging machine learning to analyze clinical and molecular data, enabling doctors to make more informed decisions, especially in oncology​. 𝗪𝗲𝗮𝗿𝗮𝗯𝗹𝗲 𝗧𝗲𝗰𝗵 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗖𝗵𝗿𝗼𝗻𝗶𝗰 𝗗𝗶𝘀𝗲𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 Wearables like Apple Watch and Fitbit (now part of Google) are going beyond fitness tracking to provide real-time insights into chronic conditions. These devices now monitor everything from heart rate variability to blood oxygen levels, helping patients and providers manage conditions like diabetes and heart disease proactively​. 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝗮𝗻𝗱 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 Virtual health assistants powered by AI are being integrated into more platforms to offer real-time support. BABYLON HEALTHCARE INC. and Ada Health are leading the way, providing virtual consultations and personalized health advice, improving patient engagement while reducing the strain on healthcare systems​. 𝗕𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗮𝘁𝗮 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 The need for secure healthcare data management has led to a rise in blockchain solutions. Companies like BurstIQ are using blockchain to create secure, interoperable data networks, ensuring patient data remains private and easily accessible across healthcare providers​. 𝗧𝗲𝗹𝗲𝗵𝗲𝗮𝗹𝘁𝗵: 𝗧𝗵𝗲 𝗡𝗲𝘄 𝗡𝗼𝗿𝗺 The COVID-19 pandemic accelerated the growth of telehealth, and it’s here to stay. Teladoc Health and Doctor on Demand are transforming patient care by offering remote consultations, mental health services, and even virtual urgent care visits, making healthcare more accessible than ever​. These developments show just how much potential digital health holds in reshaping healthcare systems and improving patient outcomes. As we move forward, these technologies will continue to evolve, offering new opportunities for innovation, efficiency, and better care. #DigitalHealth #Innovation #AI #Telemedicine #WearableTech #Healthcare

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Thoughts on this? >> OpenAI wanted Scarlett Johansson to voice ChatGPT, disabled ‘Sky’ voice because it sounds too similar [U] >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #healthtech #IoT #industry40 #mhealth #AI

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Thoughts on this? >> Swiss tech hopes to make blood pressure checks as easy as taking a selfie >> Comment below! >>> lqventures.com #AI #industry40 #mhealth #IoT #healthtech

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Our new course from AI4Healthcare is now fully released. Check out how to 10X your productivity using ChatGPT as a physician. 10X your productivity with ChatGPT https://buff.ly/4e2ksuh Great tips and prompts on how to automate annoying, time consuming tasks that drive burnout and decrease your time with your patients. I hope all of you will enjoy it and please give us any feedback. Looking forward to seeing you in the class. #AI, #GenAI, #machinelearing, #chatGPT, #AI4healthcare

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